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  1. .gitattributes +4 -0
  2. README.md +45 -0
  3. checkpoint-4000/optimizer.bin +3 -0
  4. checkpoint-4000/random_states_0.pkl +3 -0
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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ ---
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+ base_model: almarinastudio/trained_misc66
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-diffusers
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+ - text-to-image
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+ - diffusers-training
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+ - diffusers
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+ inference: true
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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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+ # Text-to-image finetuning - almarinastudio/trained_misc67
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+
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+ This pipeline was finetuned from **almarinastudio/trained_misc66** on the **almarinastudio/misc62** dataset. Below are some example images generated with the finetuned pipeline using the following prompt: A young male playing basketball on the school stadium in the morning.:
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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+
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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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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