FLUXd-jacob-v0.1

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JacobLinCool

Image Model

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Quick Summary

You should use `Jacob` to trigger the image generation.

Code Examples

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")

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