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End of training

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  1. README.md +18 -0
  2. checkpoint-10000/optimizer.bin +3 -0
  3. checkpoint-10000/optimizer_1.bin +3 -0
  4. checkpoint-10000/pytorch_lora_weights.bin +3 -0
  5. checkpoint-10000/pytorch_model.bin +3 -0
  6. checkpoint-10000/pytorch_model_1.bin +3 -0
  7. checkpoint-10000/random_states_0.pkl +3 -0
  8. checkpoint-10000/scaler.pt +3 -0
  9. checkpoint-10000/scheduler.bin +3 -0
  10. checkpoint-10000/scheduler_1.bin +3 -0
  11. checkpoint-10000/sg_encoder.pt +3 -0
  12. checkpoint-100000/optimizer.bin +3 -0
  13. checkpoint-100000/optimizer_1.bin +3 -0
  14. checkpoint-100000/pytorch_lora_weights.bin +3 -0
  15. checkpoint-100000/pytorch_model.bin +3 -0
  16. checkpoint-100000/pytorch_model_1.bin +3 -0
  17. checkpoint-100000/random_states_0.pkl +3 -0
  18. checkpoint-100000/scaler.pt +3 -0
  19. checkpoint-100000/scheduler.bin +3 -0
  20. checkpoint-100000/scheduler_1.bin +3 -0
  21. checkpoint-100000/sg_encoder.pt +3 -0
  22. checkpoint-15000/optimizer.bin +3 -0
  23. checkpoint-15000/optimizer_1.bin +3 -0
  24. checkpoint-15000/pytorch_lora_weights.bin +3 -0
  25. checkpoint-15000/pytorch_model.bin +3 -0
  26. checkpoint-15000/pytorch_model_1.bin +3 -0
  27. checkpoint-15000/random_states_0.pkl +3 -0
  28. checkpoint-15000/scaler.pt +3 -0
  29. checkpoint-15000/scheduler.bin +3 -0
  30. checkpoint-15000/scheduler_1.bin +3 -0
  31. checkpoint-15000/sg_encoder.pt +3 -0
  32. checkpoint-20000/optimizer.bin +3 -0
  33. checkpoint-20000/optimizer_1.bin +3 -0
  34. checkpoint-20000/pytorch_lora_weights.bin +3 -0
  35. checkpoint-20000/pytorch_model.bin +3 -0
  36. checkpoint-20000/pytorch_model_1.bin +3 -0
  37. checkpoint-20000/random_states_0.pkl +3 -0
  38. checkpoint-20000/scaler.pt +3 -0
  39. checkpoint-20000/scheduler.bin +3 -0
  40. checkpoint-20000/scheduler_1.bin +3 -0
  41. checkpoint-20000/sg_encoder.pt +3 -0
  42. checkpoint-25000/optimizer.bin +3 -0
  43. checkpoint-25000/optimizer_1.bin +3 -0
  44. checkpoint-25000/pytorch_lora_weights.bin +3 -0
  45. checkpoint-25000/pytorch_model.bin +3 -0
  46. checkpoint-25000/pytorch_model_1.bin +3 -0
  47. checkpoint-25000/random_states_0.pkl +3 -0
  48. checkpoint-25000/scaler.pt +3 -0
  49. checkpoint-25000/scheduler.bin +3 -0
  50. checkpoint-25000/scheduler_1.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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+ - sg-to-image
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+ - scene-graph
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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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/sg2im-256-bs-16x2-lr1e4-pp-12k
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were fine-tuned on the vg dataset. You can find some example images in the following.
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+
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+
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