FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32
58
—
by
Disty0
Image Model
OTHER
New
58 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary
4 bit (UINT4 with SVD rank 32) quantization of black-forest-labs/FLUX.
Code Examples
text
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqtext
pip install git+https://github.com/Disty0/sdnqpythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")pythonpytorch
import torch
import diffusers
from diffusers.utils import load_image
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
pipe = diffusers.FluxKontextPipeline.from_pretrained("Disty0/FLUX.1-Kontext-dev-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(
image=input_image,
prompt="Add a hat to the cat",
guidance_scale=2.5,
generator=torch.manual_seed(0),
).images[0]
image.save("flux-kontext-dev-sdnq-uint4-svd-r32.png.png")Deploy This Model
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