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sd-clevr-sg2im-objects_cap

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
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erkam commited on
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End of training

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  1. README.md +17 -0
  2. checkpoint-10000/optimizer.bin +3 -0
  3. checkpoint-10000/pytorch_model.bin +3 -0
  4. checkpoint-10000/random_states_0.pkl +3 -0
  5. checkpoint-10000/scaler.pt +3 -0
  6. checkpoint-10000/scheduler.bin +3 -0
  7. checkpoint-15000/optimizer.bin +3 -0
  8. checkpoint-15000/pytorch_model.bin +3 -0
  9. checkpoint-15000/random_states_0.pkl +3 -0
  10. checkpoint-15000/scaler.pt +3 -0
  11. checkpoint-15000/scheduler.bin +3 -0
  12. checkpoint-20000/optimizer.bin +3 -0
  13. checkpoint-20000/pytorch_model.bin +3 -0
  14. checkpoint-20000/random_states_0.pkl +3 -0
  15. checkpoint-20000/scaler.pt +3 -0
  16. checkpoint-20000/scheduler.bin +3 -0
  17. checkpoint-25000/optimizer.bin +3 -0
  18. checkpoint-25000/pytorch_model.bin +3 -0
  19. checkpoint-25000/random_states_0.pkl +3 -0
  20. checkpoint-25000/scaler.pt +3 -0
  21. checkpoint-25000/scheduler.bin +3 -0
  22. checkpoint-30000/optimizer.bin +3 -0
  23. checkpoint-30000/pytorch_model.bin +3 -0
  24. checkpoint-30000/random_states_0.pkl +3 -0
  25. checkpoint-30000/scaler.pt +3 -0
  26. checkpoint-30000/scheduler.bin +3 -0
  27. checkpoint-35000/optimizer.bin +3 -0
  28. checkpoint-35000/pytorch_model.bin +3 -0
  29. checkpoint-35000/random_states_0.pkl +3 -0
  30. checkpoint-35000/scaler.pt +3 -0
  31. checkpoint-35000/scheduler.bin +3 -0
  32. checkpoint-5000/optimizer.bin +3 -0
  33. checkpoint-5000/pytorch_model.bin +3 -0
  34. checkpoint-5000/random_states_0.pkl +3 -0
  35. checkpoint-5000/scaler.pt +3 -0
  36. checkpoint-5000/scheduler.bin +3 -0
  37. pytorch_lora_weights.bin +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: stabilityai/stable-diffusion-2
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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 - erkam/sd-clevr-sg2im-objects_cap
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were fine-tuned on the erkam/clevr-with-depth-full-v2 dataset. You can find some example images in the following.
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+
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+
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