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.gitattributes CHANGED
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README.md CHANGED
@@ -3,6 +3,7 @@ license: apache-2.0
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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>
@@ -13,11 +14,13 @@ feel free, but it will change as I continue to develop it. I plan to do many upd
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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.
assets/banner_0_0_6.png ADDED

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