FLUX.1-schnell-int4-ov

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1 language
license:apache-2.0
by
OpenVINO
Image Model
OTHER
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Quick Summary

Model creator: Black Forset Labs Original model: black-forest-labs/FLUX.

Code Examples

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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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pip install optimum[openvino]
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from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
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from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
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from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
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from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
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from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
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from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
text
from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "A cat holding a sign that says hello world"
images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)text
pip install huggingface_hub
pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)
text
import huggingface_hub as hf_hub

model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
model_path = "FLUX.1-schnell-int4-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)

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