End of training
Browse files- <new1>.bin +3 -0
- README.md +24 -0
- checkpoint-250/custom_checkpoint_0.pkl +3 -0
- checkpoint-250/optimizer.bin +3 -0
- checkpoint-250/pytorch_model.bin +3 -0
- checkpoint-250/pytorch_model_1.bin +3 -0
- checkpoint-250/random_states_0.pkl +3 -0
- checkpoint-250/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- pytorch_custom_diffusion_weights.bin +3 -0
<new1>.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:25e120f6090f5553f7ad61f18e981bcb6a1bf2ddabe7e9e7831a7b0625305f17
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size 151785128
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README.md
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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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# Custom Diffusion - anshudaur/path-to-save-model
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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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![img_0](./image_0.png)
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![img_1](./image_1.png)
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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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checkpoint-250/custom_checkpoint_0.pkl
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size 76689565
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checkpoint-250/optimizer.bin
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checkpoint-250/pytorch_model.bin
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checkpoint-250/pytorch_model_1.bin
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checkpoint-250/random_states_0.pkl
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checkpoint-250/scheduler.bin
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size 563
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image_0.png
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image_1.png
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pytorch_custom_diffusion_weights.bin
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