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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) that generates exactly the same results as the original. But please note that there is a certain degree of quality degradation in comparison with [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) in our test. |
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We are training its fine-tuning models to check its effectiveness, feel free to let us know if you have any interesting findings. |
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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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- [MinusZoneAI/flux-dev-de-distill-fp8](https://huggingface.co/MinusZoneAI/flux-dev-de-distill-fp8), [TheYuriLover/flux-dev-de-distill-GGUF](https://huggingface.co/TheYuriLover/flux-dev-de-distill-GGUF) |
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- [ashen0209/Flux-Dev2Pro](https://huggingface.co/ashen0209/Flux-Dev2Pro), [ostris/OpenFLUX.1](https://huggingface.co/ostris/OpenFLUX.1) |
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## Acknowledgements |
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This project is co-sponsored by [HuggingFace](https://huggingface.co/) and [fal](https://huggingface.co/fal). |
