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---
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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language:
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- en
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base_model:
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- black-forest-labs/FLUX.1-dev
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library_name: diffusers
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---
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## Model Details
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This is a diffusers version of [nyanko7/flux-dev-de-distill](https://huggingface.co/nyanko7/flux-dev-de-distill).
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## Usage
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```python
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import torch
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from diffusers import FluxTransformer2DModel
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from pipeline_flux_de_distill import FluxPipeline
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model_path = "black-forest-labs/FLUX.1-dev"
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transformer = FluxTransformer2DModel.from_pretrained(
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"InstantX/flux-dev-de-distill-diffusers",
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torch_dtype=torch.bfloat16
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)
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pipeline = FluxPipeline.from_pretrained(model_path, transformer=transformer, torch_dtype=torch.bfloat16).to("cuda")
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prompt = "a tiny astronaut hatching from an egg on the moon"
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negative_prompt = "bad photo"
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image = pipeline(
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prompt=prompt,
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negative_prompt=negative_prompt,
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guidance_scale=3.5,
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num_inference_steps=24,
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).images[0]
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image.save("de-distill.jpg")
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```
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## Other Resources
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- [ashen0209/Flux-Dev2Pro](https://huggingface.co/ashen0209/Flux-Dev2Pro)
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