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--- |
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license: openrail++ |
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base_model: stabilityai/stable-diffusion-xl-base-1.0 |
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instance_prompt: a photo of allu doll |
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tags: |
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- stable-diffusion-xl |
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- stable-diffusion-xl-diffusers |
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- text-to-image |
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- diffusers |
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- lora |
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- climate |
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- biology |
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- legal |
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- medical |
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- art |
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inference: true |
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datasets: |
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- Open-Orca/OpenOrca |
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- uonlp/CulturaX |
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- taesiri/arxiv_qa |
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- TIGER-Lab/MathInstruct |
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- knowrohit07/know_sql |
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- tiiuae/falcon-refinedweb |
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- fka/awesome-chatgpt-prompts |
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language: |
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- en |
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metrics: |
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- accuracy |
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- bertscore |
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- character |
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- charcut_mt |
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- chrf |
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library_name: bertopic |
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pipeline_tag: text-to-image |
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--- |
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# LoRA DreamBooth - Yacong/allu-lora-trained-xl |
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photo of allu doll 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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Special VAE used for training: None. |