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.gitattributes
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README.md
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library_name: diffusers
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pipeline_tag: text-to-image
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---
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<div style="color: red;">
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# <span style="color: red;"> Not Ready </span>
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</div>
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## What is this?
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[FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell) is an amazing distilled model with an apache 2.0 license. However, it is not finetunable. LoRAs, IP adapters, control nets, etc, cannot be trained on it
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because it is distilled. The goal of this project is to finetune a non-distilled version of it that can be used as a training base to train adapters for FLUX.1-schnell.
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## Current Issues
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Since we are breaking the distillation, this model will need many steps and guidance to produce good results. Currently, this model, like the schnell version, does not
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have guidance embeddings. Because of this (and possible other factors) images generated with this model will not look great. However, this hopefully will not affect training,
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since guidance is not used during training. The things trained on this model are intended to be used on the schnell version anyway. I am working on training guidance
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embeddings for it, but hopefully it will work as a training base without them.
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library_name: diffusers
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pipeline_tag: text-to-image
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---
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+
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<div style="color: red;">
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# <span style="color: red;"> Not Ready </span>
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</div>
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## What is this?
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+
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[FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell) is an amazing distilled model with an apache 2.0 license. However, it is not finetunable. LoRAs, IP adapters, control nets, etc, cannot be trained on it
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because it is distilled. The goal of this project is to finetune a non-distilled version of it that can be used as a training base to train adapters for FLUX.1-schnell.
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## Current Issues
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+
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Since we are breaking the distillation, this model will need many steps and guidance to produce good results. Currently, this model, like the schnell version, does not
|
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have guidance embeddings. Because of this (and possible other factors) images generated with this model will not look great. However, this hopefully will not affect training,
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since guidance is not used during training. The things trained on this model are intended to be used on the schnell version anyway. I am working on training guidance
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+
embeddings for it, but hopefully it will work as a training base without them.
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assets/banner_0_0_6.png
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Git LFS Details
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transformer/diffusion_pytorch_model-00001-of-00003.safetensors
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