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update models with luck [skip ci]
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huuquyet committed Nov 2, 2024
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10 changes: 5 additions & 5 deletions README.md
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Expand Up @@ -9,8 +9,8 @@ This action generate awesome wallpapers using HuggingFace Inference API (serverl
<div align="center">
<img alt="Awesome Wallpapers" src="./assets/wallpaper.jpg">

<!-- START_CAPTION -->
*A geometrically perfect formation of fluorescent jellyfish, floating in the depths of a serene ocean* by [digiplay/insaneRealistic_v1](https://hf.co/digiplay/insaneRealistic_v1)
<!-- START_CAPTION -->
*A geometrically perfect formation of fluorescent jellyfish, floating in the depths of a serene ocean* by [digiplay/insaneRealistic_v1](https://hf.co/digiplay/insaneRealistic_v1)
<!-- END_CAPTION -->
</div>

Expand All @@ -28,11 +28,11 @@ Then add to the [secrets for the repository](https://docs.github.com/en/actions/
## List of models

- [digiplay/insaneRealistic_v1](https://hf.co/digiplay/insaneRealistic_v1)
- [dreamlike-art/dreamlike-photoreal-2.0](https://hf.co/dreamlike-art/dreamlike-photoreal-2.0)
- [Yntec/DreamPhotoGASM](https://hf.co/Yntec/epiCPhotoGasm)
- [stabilityai/stable-diffusion-xl-base-1.0](https://hf.co/stabilityai/stable-diffusion-xl-base-1.0)
- [CompVis/stable-diffusion-v1-4](https://hf.co/CompVis/stable-diffusion-v1-4)
- [Corcelio/mobius](https://hf.co/Corcelio/mobius)
- [stabilityai/stable-diffusion-2-1](https://hf.co/stabilityai/stable-diffusion-2-1)
- [prompthero/openjourney-v4](https://hf.co/prompthero/openjourney-v4)
- [stable-diffusion-v1-5/stable-diffusion-v1-5](https://hf.co/stable-diffusion-v1-5/stable-diffusion-v1-5)

## Outputs

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6 changes: 3 additions & 3 deletions src/generate.py
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# The list of text-to-image models that support inference API
MODELS = [
'digiplay/insaneRealistic_v1',
'dreamlike-art/dreamlike-photoreal-2.0',
'Yntec/epiCPhotoGasm',
'stabilityai/stable-diffusion-xl-base-1.0',
'CompVis/stable-diffusion-v1-4',
'Corcelio/mobius',
'stabilityai/stable-diffusion-2-1',
'prompthero/openjourney-v4',
'stable-diffusion-v1-5/stable-diffusion-v1-5',
]

random_model = random.choice(MODELS)
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