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End of training

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  1. <new1>.bin +3 -0
  2. README.md +22 -0
  3. checkpoint-250/custom_checkpoint_0.pkl +3 -0
  4. checkpoint-250/optimizer.bin +3 -0
  5. checkpoint-250/pytorch_model.bin +3 -0
  6. checkpoint-250/pytorch_model_1.bin +3 -0
  7. checkpoint-250/random_states_0.pkl +3 -0
  8. checkpoint-250/scheduler.bin +3 -0
  9. logs/custom-diffusion/1686108428.4355912/events.out.tfevents.1686108428.6aed587fb699.33891.1 +3 -0
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  21. logs/custom-diffusion/events.out.tfevents.1686108428.6aed587fb699.33891.0 +3 -0
  22. logs/custom-diffusion/events.out.tfevents.1686108627.6aed587fb699.34763.0 +3 -0
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  26. logs/custom-diffusion/events.out.tfevents.1686110415.6aed587fb699.42602.0 +3 -0
  27. pytorch_custom_diffusion_weights.bin +3 -0
<new1>.bin ADDED
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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: CompVis/stable-diffusion-v1-4
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+ instance_prompt: photo of a <new1> cat
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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 - brendanm1234/output
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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 photo of a <new1> cat 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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