End of training
Browse files- README.md +25 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_lora_weights.bin +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-25/optimizer.bin +3 -0
- checkpoint-25/pytorch_lora_weights.bin +3 -0
- checkpoint-25/random_states_0.pkl +3 -0
- checkpoint-25/scheduler.bin +3 -0
- checkpoint-50/optimizer.bin +3 -0
- checkpoint-50/pytorch_lora_weights.bin +3 -0
- checkpoint-50/random_states_0.pkl +3 -0
- checkpoint-50/scheduler.bin +3 -0
- checkpoint-75/optimizer.bin +3 -0
- checkpoint-75/pytorch_lora_weights.bin +3 -0
- checkpoint-75/random_states_0.pkl +3 -0
- checkpoint-75/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- pytorch_lora_weights.bin +3 -0
README.md
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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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instance_prompt: sonny
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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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- lora
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inference: true
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---
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# LoRA DreamBooth - PSJJ/output
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on sonny using [DreamBooth](https://dreambooth.github.io/). 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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![img_2](./image_2.png)
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![img_3](./image_3.png)
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LoRA for the text encoder was enabled: True.
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checkpoint-100/optimizer.bin
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checkpoint-100/pytorch_lora_weights.bin
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image_0.png
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image_1.png
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image_2.png
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image_3.png
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pytorch_lora_weights.bin
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