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--- |
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base_model: stabilityai/stable-diffusion-xl-base-1.0 |
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library_name: diffusers |
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license: other |
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instance_prompt: an icon of trpfrog |
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widget: |
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- text: an icon of trpfrog eating ramen |
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output: |
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url: examples/example_1.png |
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- text: an icon of trpfrog eating ramen |
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output: |
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url: examples/example_2.png |
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- text: an icon of trpfrog eating ramen |
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output: |
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url: examples/example_3.png |
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tags: |
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- text-to-image |
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- diffusers-training |
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- diffusers |
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- sdxl |
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- sdxl-diffusers |
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datasets: |
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- trpfrog/trpfrog-icons |
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- Prgckwb/trpfrog-icons-dreambooth |
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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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# SD3 DreamBooth - Prgckwb/trpfrog-sdxl |
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<Gallery /> |
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## Model description |
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!! This is same as Prgckwb/trpfrog-sdxl-lora !! |
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These are Prgckwb/trpfrog-sdxl DreamBooth 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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Was LoRA for the text encoder enabled? False. |
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## Trigger words |
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You should use `an icon of trpfrog` to trigger the image generation. |
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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```py |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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pipeline = AutoPipelineForText2Image.from_pretrained( |
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'Prgckwb/trpfrog-sdxl', |
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torch_dtype=torch.float16 |
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).to('cuda') |
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image = pipeline('an icon of trpfrog').images[0] |
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image.save('trpfrog.png') |
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``` |
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