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--- |
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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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- template:sd-lora |
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widget: |
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- text: 'a <s0><s1> webpage about the movie Mean Girls' |
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output: |
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url: |
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"image_0.png" |
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- text: 'a <s0><s1> webpage about the movie Mean Girls' |
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output: |
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url: |
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"image_1.png" |
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- text: 'a <s0><s1> webpage about the movie Mean Girls' |
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output: |
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url: |
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"image_2.png" |
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- text: 'a <s0><s1> webpage about the movie Mean Girls' |
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output: |
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url: |
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"image_3.png" |
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base_model: stabilityai/stable-diffusion-xl-base-1.0 |
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instance_prompt: a <s0><s1> webpage |
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license: openrail++ |
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--- |
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# SDXL LoRA DreamBooth - LinoyTsaban/web_y2k_v4 |
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<Gallery /> |
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## Model description |
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### These are LinoyTsaban/web_y2k_v4 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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Pivotal tuning was enabled: True. |
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. |
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## Trigger words |
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To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens: |
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to trigger concept `TOK->` use `<s0><s1>` in your prompt |
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## Download model |
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Weights for this model are available in Safetensors format. |
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[Download](LinoyTsaban/web_y2k_v4/tree/main) them in the Files & versions tab. |
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