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End of training

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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ image_1.png filter=lfs diff=lfs merge=lfs -text
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+ image_2.png filter=lfs diff=lfs merge=lfs -text
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+ image_3.png filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ base_model: Efficient-Large-Model/Sana_1600M_1024px_diffusers
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+ library_name: diffusers
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+ license: other
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+ instance_prompt: a puppy, yarn art style
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+ widget:
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+ - text: a puppy in a pond, yarn art style
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+ output:
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+ url: image_0.png
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+ - text: a puppy in a pond, yarn art style
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+ output:
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+ url: image_1.png
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+ - text: a puppy in a pond, yarn art style
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+ output:
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+ url: image_2.png
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+ - text: a puppy in a pond, yarn art style
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+ output:
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+ url: image_3.png
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+ tags:
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+ - text-to-image
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+ - diffusers-training
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+ - diffusers
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+ - falqon
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+ - sana
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+ - sana-diffusers
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # Sana DreamBooth FALQON - wsl448/yarn_art_falqon_sana_block_int8_svd_lr2e-4
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ These are wsl448/yarn_art_falqon_sana_block_int8_svd_lr2e-4 DreamBooth FALQON weights for Efficient-Large-Model/Sana_1600M_1024px_diffusers.
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+
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+ The weights were trained using [DreamBooth](https://dreambooth.github.io/) with FALQON
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+ (FP8-Accelerated LoRA with Quantization) for efficient fine-tuning.
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+
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+
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+ ## Trigger words
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+
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+ You should use `a puppy, yarn art style` to trigger the image generation.
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+
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+ ## License
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+
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+ Please check the base model license.
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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