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mrzbrt
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schaeffer-lora

Text-to-Audio
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Community
mrzbrt commited on
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End of training

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Files changed (21) hide show
  1. README.md +21 -0
  2. checkpoint-1000/model.safetensors +3 -0
  3. checkpoint-1000/optimizer.bin +3 -0
  4. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-1000/random_states_0.pkl +3 -0
  6. checkpoint-1000/scheduler.bin +3 -0
  7. checkpoint-1500/model.safetensors +3 -0
  8. checkpoint-1500/optimizer.bin +3 -0
  9. checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
  10. checkpoint-1500/random_states_0.pkl +3 -0
  11. checkpoint-1500/scheduler.bin +3 -0
  12. checkpoint-500/model.safetensors +3 -0
  13. checkpoint-500/optimizer.bin +3 -0
  14. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  15. checkpoint-500/random_states_0.pkl +3 -0
  16. checkpoint-500/scheduler.bin +3 -0
  17. image_0.png +0 -0
  18. image_1.png +0 -0
  19. image_2.png +0 -0
  20. image_3.png +0 -0
  21. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: riffusion/riffusion-model-v1
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ inference: true
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+ ---
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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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+
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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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