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mrzbrt
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schaeffer-lora

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stable-diffusion
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lora
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End of training

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  1. README.md +1 -1
  2. checkpoint-1000/model.safetensors +1 -1
  3. checkpoint-1000/optimizer.bin +1 -1
  4. checkpoint-1000/pytorch_lora_weights.safetensors +1 -1
  5. checkpoint-1000/random_states_0.pkl +1 -1
  6. checkpoint-1500/model.safetensors +1 -1
  7. checkpoint-1500/optimizer.bin +1 -1
  8. checkpoint-1500/pytorch_lora_weights.safetensors +1 -1
  9. checkpoint-1500/random_states_0.pkl +1 -1
  10. checkpoint-500/model.safetensors +1 -1
  11. checkpoint-500/optimizer.bin +1 -1
  12. checkpoint-500/pytorch_lora_weights.safetensors +1 -1
  13. checkpoint-500/random_states_0.pkl +1 -1
  14. image_0.png +0 -0
  15. image_1.png +0 -0
  16. image_2.png +0 -0
  17. image_3.png +0 -0
  18. pytorch_lora_weights.safetensors +1 -1
README.md CHANGED
@@ -12,7 +12,7 @@ inference: true
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  ---
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  # LoRA text2image fine-tuning - mrzbrt/schaeffer-lora
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- These are LoRA adaption weights for riffusion/riffusion-model-v1. The weights were fine-tuned on the mrzbrt/SCHAEFFER_mel dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
 
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  ---
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  # LoRA text2image fine-tuning - mrzbrt/schaeffer-lora
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+ These are LoRA adaption weights for riffusion/riffusion-model-v1. The weights were fine-tuned on the dbschaeffer/schaeffer_thesis_spec dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
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