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Busey
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Tattoosmal

Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
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  1. README.md +44 -0
  2. checkpoint-10/optimizer.bin +3 -0
  3. checkpoint-10/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-10/random_states_0.pkl +3 -0
  5. checkpoint-10/scaler.pt +3 -0
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  7. checkpoint-100/optimizer.bin +3 -0
  8. checkpoint-100/pytorch_lora_weights.safetensors +3 -0
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  10. checkpoint-100/scaler.pt +3 -0
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  18. checkpoint-110/pytorch_lora_weights.safetensors +3 -0
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  20. checkpoint-110/scaler.pt +3 -0
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  23. checkpoint-115/pytorch_lora_weights.safetensors +3 -0
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  27. checkpoint-120/optimizer.bin +3 -0
  28. checkpoint-120/pytorch_lora_weights.safetensors +3 -0
  29. checkpoint-120/random_states_0.pkl +3 -0
  30. checkpoint-120/scaler.pt +3 -0
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  32. checkpoint-125/optimizer.bin +3 -0
  33. checkpoint-125/pytorch_lora_weights.safetensors +3 -0
  34. checkpoint-125/random_states_0.pkl +3 -0
  35. checkpoint-125/scaler.pt +3 -0
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  44. checkpoint-135/random_states_0.pkl +3 -0
  45. checkpoint-135/scaler.pt +3 -0
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  47. checkpoint-140/optimizer.bin +3 -0
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README.md ADDED
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+ ---
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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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
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+ - diffusers-training
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+ - lora
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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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+ # LoRA text2image fine-tuning - Busey/Tattoosmal
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+
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the Busey/tattoodatasmallerset dataset. You can find some example images in the following.
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+
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+
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+
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+ LoRA for the text encoder was enabled: True.
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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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