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- README.md +65 -0
- image_0.png +3 -0
- pytorch_lora_weights.safetensors +3 -0
.gitattributes
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README.md
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---
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license: openrail++
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library_name: diffusers
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tags:
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- text-to-image
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- text-to-image
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- diffusers-training
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- diffusers
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- lora
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- template:sd-lora
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: A [v20]
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widget:
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- text: ' '
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output:
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url: image_0.png
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# 'SDXL B-LoRA - lora-library/B-LoRA-statue
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<Gallery />
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## Model description
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These are lora-library/B-LoRA-statue LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Trigger words
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You should use "A [v20]" to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](lora-library/B-LoRA-statue/tree/main) them in the Files & versions tab.
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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image_0.png
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Git LFS Details
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f13184b2344773c0befab5317ecab94f08da1b86502bff961170a60fddf60a8e
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size 112771568
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