End of training
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- README.md +25 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_lora_weights.safetensors +3 -0
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- checkpoint-100000/optimizer.bin +3 -0
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- checkpoint-100000/random_states_0.pkl +3 -0
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- checkpoint-100100/pytorch_lora_weights.safetensors +3 -0
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- checkpoint-100200/optimizer.bin +3 -0
- checkpoint-100200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-100200/random_states_0.pkl +3 -0
- checkpoint-100200/scheduler.bin +3 -0
- checkpoint-100300/optimizer.bin +3 -0
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- checkpoint-100400/optimizer.bin +3 -0
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- checkpoint-100500/optimizer.bin +3 -0
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- checkpoint-100600/optimizer.bin +3 -0
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- checkpoint-100800/optimizer.bin +3 -0
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- checkpoint-100900/optimizer.bin +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: SG161222/Realistic_Vision_V5.1_noVAE
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instance_prompt: a photo of a1sfv dog
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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 - hiddenbox/pore_dream6
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These are LoRA adaption weights for SG161222/Realistic_Vision_V5.1_noVAE. The weights were trained on a photo of a1sfv dog 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: False.
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checkpoint-100800/optimizer.bin
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checkpoint-100800/random_states_0.pkl
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checkpoint-100800/scheduler.bin
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checkpoint-100900/optimizer.bin
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