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End of training

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  1. README.md +20 -0
  2. checkpoint-1000/controlnet/config.json +44 -0
  3. checkpoint-1000/controlnet/diffusion_pytorch_model.bin +3 -0
  4. checkpoint-1000/optimizer.bin +3 -0
  5. checkpoint-1000/random_states_0.pkl +3 -0
  6. checkpoint-1000/scaler.pt +3 -0
  7. checkpoint-1000/scheduler.bin +3 -0
  8. checkpoint-1500/controlnet/config.json +44 -0
  9. checkpoint-1500/controlnet/diffusion_pytorch_model.bin +3 -0
  10. checkpoint-1500/optimizer.bin +3 -0
  11. checkpoint-1500/random_states_0.pkl +3 -0
  12. checkpoint-1500/scaler.pt +3 -0
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  14. checkpoint-2000/controlnet/config.json +44 -0
  15. checkpoint-2000/controlnet/diffusion_pytorch_model.bin +3 -0
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  17. checkpoint-2000/random_states_0.pkl +3 -0
  18. checkpoint-2000/scaler.pt +3 -0
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  20. checkpoint-500/controlnet/config.json +44 -0
  21. checkpoint-500/controlnet/diffusion_pytorch_model.bin +3 -0
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  23. checkpoint-500/random_states_0.pkl +3 -0
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  26. config.json +44 -0
  27. diffusion_pytorch_model.bin +3 -0
  28. image_control.png +0 -0
  29. images_0.png +0 -0
  30. logs/train_controlnet/1698136955.89282/events.out.tfevents.1698136955.285d4da4d3dd.1278.1 +3 -0
  31. logs/train_controlnet/1698136955.8950262/hparams.yml +49 -0
  32. logs/train_controlnet/1698137667.7316034/events.out.tfevents.1698137667.285d4da4d3dd.5335.1 +3 -0
  33. logs/train_controlnet/1698137667.7340715/hparams.yml +49 -0
  34. logs/train_controlnet/1698138332.2972698/events.out.tfevents.1698138332.285d4da4d3dd.8317.1 +3 -0
  35. logs/train_controlnet/1698138332.2989447/hparams.yml +49 -0
  36. logs/train_controlnet/1698139447.0913413/events.out.tfevents.1698139447.285d4da4d3dd.13142.1 +3 -0
  37. logs/train_controlnet/1698139447.094729/hparams.yml +49 -0
  38. logs/train_controlnet/events.out.tfevents.1698136955.285d4da4d3dd.1278.0 +3 -0
  39. logs/train_controlnet/events.out.tfevents.1698137667.285d4da4d3dd.5335.0 +3 -0
  40. logs/train_controlnet/events.out.tfevents.1698138332.285d4da4d3dd.8317.0 +3 -0
  41. logs/train_controlnet/events.out.tfevents.1698139447.285d4da4d3dd.13142.0 +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: runwayml/stable-diffusion-v1-5
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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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+ - controlnet
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+ inference: true
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+ ---
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+
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+ # controlnet-Jise/controlnet-X-ray
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+
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+ These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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+ You can find some example images below.
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+ prompt: chest X_ray
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+ ![images_0)](./images_0.png)
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+
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