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End of training

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  1. <new1>.bin +3 -0
  2. <new2>.bin +3 -0
  3. README.md +22 -0
  4. checkpoint-250/custom_checkpoint_0.pkl +3 -0
  5. checkpoint-250/optimizer.bin +3 -0
  6. checkpoint-250/pytorch_model.bin +3 -0
  7. checkpoint-250/pytorch_model_1.bin +3 -0
  8. checkpoint-250/random_states_0.pkl +3 -0
  9. checkpoint-250/scheduler.bin +3 -0
  10. checkpoint-500/custom_checkpoint_0.pkl +3 -0
  11. checkpoint-500/optimizer.bin +3 -0
  12. checkpoint-500/pytorch_model.bin +3 -0
  13. checkpoint-500/pytorch_model_1.bin +3 -0
  14. checkpoint-500/random_states_0.pkl +3 -0
  15. checkpoint-500/scheduler.bin +3 -0
  16. logs/custom-diffusion/1701364511.2446833/events.out.tfevents.1701364511.cudahpc06.2125436.1 +3 -0
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  18. logs/custom-diffusion/1701364583.2795281/events.out.tfevents.1701364583.cudahpc06.2125621.1 +3 -0
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  20. logs/custom-diffusion/1701364654.5909536/events.out.tfevents.1701364654.cudahpc06.2125815.1 +3 -0
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  22. logs/custom-diffusion/1701364758.5754466/events.out.tfevents.1701364758.cudahpc06.2126147.1 +3 -0
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  24. logs/custom-diffusion/1701364809.4193866/events.out.tfevents.1701364809.cudahpc06.2126591.1 +3 -0
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  26. logs/custom-diffusion/events.out.tfevents.1701364511.cudahpc06.2125436.0 +3 -0
  27. logs/custom-diffusion/events.out.tfevents.1701364583.cudahpc06.2125621.0 +3 -0
  28. logs/custom-diffusion/events.out.tfevents.1701364654.cudahpc06.2125815.0 +3 -0
  29. logs/custom-diffusion/events.out.tfevents.1701364758.cudahpc06.2126147.0 +3 -0
  30. logs/custom-diffusion/events.out.tfevents.1701364809.cudahpc06.2126591.0 +3 -0
  31. pytorch_custom_diffusion_weights.bin +3 -0
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: CompVis/stable-diffusion-v1-4
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+ instance_prompt: None
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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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+ - custom-diffusion
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+ inference: true
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+ ---
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+
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+ # Custom Diffusion - SidXXD/path-to-save-model-multi
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+
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+ These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on None using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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+ For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).
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