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--- |
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license: creativeml-openrail-m |
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tags: |
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- pytorch |
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- diffusers |
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- stable-diffusion |
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- text-to-image |
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- keyboard |
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widget: |
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- text: a photo of cyberboard keyboard |
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datasets: |
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- li-yan/crazy-keyboard |
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--- |
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## Description |
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This is a Stable Diffusion model fine-tuned on dataset li-yan/crazy-keyboard images for the different breeds of cats. |
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#### Prompt 1: "a photo of cyberboard keyboard" |
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|--|--| |
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| result of pretrained model | result of fine tuned model | |
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Prompt 2: "in the forest, a cyberboard keyboard is on the ground" |
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Prompt 3: "a cyberboard keyboard in front of the Golden Gate Bright" |
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# Details |
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Trained by li-yan on the li-yan/crazy-keyboard dataset. |
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It can be used by modifying the `instance_prompt`: **a photo of cyberboard keyboard** |
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This model is fine tuned from pretrained model CompVis/stable-diffusion-v1-4 using DreamBooth model. |
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More for DreamBooth model, please refer to https://dreambooth.github.io/. |
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## Usage |
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```python |
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from diffusers import StableDiffusionPipeline |
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pipeline = StableDiffusionPipeline.from_pretrained('li-yan/stable-diffusion-crazy-keyboard') |
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image = pipeline().images[0] |
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image |
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``` |
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## Fine Tune Source Code |
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[<img src="https://colab.research.google.com/assets/colab-badge.svg">](https://colab.research.google.com/github/Li-Yan/Diffusion-Model/blob/main/Li_Yan_Stable_Defussion_Fune_Tuning.ipynb) |
