Lawrence-cj commited on
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09b6bae
1 Parent(s): 21ea13a

update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -18,7 +18,7 @@ DESCRIPTION = """![Logo](https://raw.githubusercontent.com/PixArt-alpha/PixArt-a
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  #### [PixArt-Alpha 1024px](https://github.com/PixArt-alpha/PixArt-alpha) is a transformer-based text-to-image diffusion system trained on text embeddings from T5. This demo uses the [PixArt-alpha/PixArt-LCM-XL-2-1024-MS](https://huggingface.co/PixArt-alpha/PixArt-LCM-XL-2-1024-MS) checkpoint.
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  #### [LCMs](https://github.com/luosiallen/latent-consistency-model) is a diffusion distillation method which predict PF-ODE's solution directly in latent space, achieving super fast inference with few steps.
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  #### English prompts ONLY; 提示词仅限英文
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- Don't want to queue? Try [OpenXLab](https://openxlab.org.cn/apps/detail/PixArt-alpha/PixArt-alpha) or [Google Colab Demo](https://colab.research.google.com/drive/1jZ5UZXk7tcpTfVwnX33dDuefNMcnW9ME?usp=sharing).
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  """
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  if not torch.cuda.is_available():
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  DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
 
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  #### [PixArt-Alpha 1024px](https://github.com/PixArt-alpha/PixArt-alpha) is a transformer-based text-to-image diffusion system trained on text embeddings from T5. This demo uses the [PixArt-alpha/PixArt-LCM-XL-2-1024-MS](https://huggingface.co/PixArt-alpha/PixArt-LCM-XL-2-1024-MS) checkpoint.
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  #### [LCMs](https://github.com/luosiallen/latent-consistency-model) is a diffusion distillation method which predict PF-ODE's solution directly in latent space, achieving super fast inference with few steps.
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  #### English prompts ONLY; 提示词仅限英文
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+ ### <span style='color: red;'> Don't want to queue or Don't get satisfied results? Try original demo: [PixArt-alpha](https://huggingface.co/spaces/PixArt-alpha/PixArt-alpha) [OpenXLab](https://openxlab.org.cn/apps/detail/PixArt-alpha/PixArt-alpha) or [Google Colab Demo](https://colab.research.google.com/drive/1jZ5UZXk7tcpTfVwnX33dDuefNMcnW9ME?usp=sharing).
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  """
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  if not torch.cuda.is_available():
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  DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"