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danbrown
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testman-lora-5

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Community
danbrown commited on
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1 Parent(s): fc9b4e8

Add converted model

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Files changed (39) hide show
  1. .gitkeep +0 -0
  2. .ipynb_checkpoints/image_1-checkpoint.png +0 -0
  3. README.md +19 -0
  4. checkpoint-1000/optimizer.bin +3 -0
  5. checkpoint-1000/pytorch_model.bin +3 -0
  6. checkpoint-1000/random_states_0.pkl +3 -0
  7. checkpoint-1000/scaler.pt +3 -0
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  11. checkpoint-1250/random_states_0.pkl +3 -0
  12. checkpoint-1250/scaler.pt +3 -0
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  14. checkpoint-1500/optimizer.bin +3 -0
  15. checkpoint-1500/pytorch_model.bin +3 -0
  16. checkpoint-1500/random_states_0.pkl +3 -0
  17. checkpoint-1500/scaler.pt +3 -0
  18. checkpoint-1500/scheduler.bin +3 -0
  19. checkpoint-250/optimizer.bin +3 -0
  20. checkpoint-250/pytorch_model.bin +3 -0
  21. checkpoint-250/random_states_0.pkl +3 -0
  22. checkpoint-250/scaler.pt +3 -0
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  24. checkpoint-500/optimizer.bin +3 -0
  25. checkpoint-500/pytorch_model.bin +3 -0
  26. checkpoint-500/random_states_0.pkl +3 -0
  27. checkpoint-500/scaler.pt +3 -0
  28. checkpoint-500/scheduler.bin +3 -0
  29. checkpoint-750/optimizer.bin +3 -0
  30. checkpoint-750/pytorch_model.bin +3 -0
  31. checkpoint-750/random_states_0.pkl +3 -0
  32. checkpoint-750/scaler.pt +3 -0
  33. checkpoint-750/scheduler.bin +3 -0
  34. image_0.png +0 -0
  35. image_1.png +0 -0
  36. pytorch_lora_weights.bin +3 -0
  37. testman-lora-3.safetensors +3 -0
  38. testman-lora-4.safetensors +3 -0
  39. testman-lora-5.safetensors +3 -0
.gitkeep ADDED
File without changes
.ipynb_checkpoints/image_1-checkpoint.png ADDED
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: danbrown/AnyLora-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 - danbrown/testman-lora-3
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+ These are LoRA adaption weights for danbrown/AnyLora-v1. The weights were fine-tuned on the danbrown/testman-dataset 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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+
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