End of training
Browse files- README.md +4 -4
- checkpoint-10/optimizer.bin +2 -2
- checkpoint-10/pytorch_lora_weights.safetensors +1 -1
- checkpoint-10/random_states_0.pkl +2 -2
- checkpoint-10/scheduler.bin +2 -2
- checkpoint-5/optimizer.bin +2 -2
- checkpoint-5/pytorch_lora_weights.safetensors +1 -1
- checkpoint-5/random_states_0.pkl +2 -2
- checkpoint-5/scheduler.bin +2 -2
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- pytorch_lora_weights.safetensors +1 -1
- text_encoder/config.json +1 -1
- unet/config.json +1 -1
- unet/diffusion_pytorch_model.safetensors +2 -2
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:
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tags:
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- text-to-image
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- diffusers
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- lora
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# LoRA DreamBooth - bodam/lora-dreambooth-model
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on
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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 olis chair
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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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# LoRA DreamBooth - bodam/lora-dreambooth-model
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a olis chair using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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checkpoint-10/optimizer.bin
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checkpoint-10/pytorch_lora_weights.safetensors
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text_encoder/config.json
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"architectures": [
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"CLIPTextModel"
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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unet/config.json
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"act_fn": "silu",
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