Johnkimmyshinmmy
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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-1100/optimizer.bin +3 -0
- checkpoint-1100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1100/random_states_0.pkl +3 -0
- checkpoint-1100/scheduler.bin +3 -0
- checkpoint-1200/optimizer.bin +3 -0
- checkpoint-1200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1200/random_states_0.pkl +3 -0
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- checkpoint-200/optimizer.bin +3 -0
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- checkpoint-300/optimizer.bin +3 -0
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- checkpoint-400/optimizer.bin +3 -0
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- checkpoint-600/optimizer.bin +3 -0
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- checkpoint-700/optimizer.bin +3 -0
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- checkpoint-900/optimizer.bin +3 -0
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- checkpoint-900/scheduler.bin +3 -0
- image_0.png +0 -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: a photo of aszx interior
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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 - Johnkimmyshinmmy/c
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of aszx interior 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-900/scheduler.bin
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image_0.png
ADDED