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update app.py
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app.py
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@@ -13,7 +13,7 @@ from typing import Tuple
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from datetime import datetime
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DESCRIPTION = """![Logo](https://raw.githubusercontent.com/PixArt-alpha/PixArt-alpha.github.io/master/static/images/pixart-
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# PixArt-LCM 1024px
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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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from datetime import datetime
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DESCRIPTION = """![Logo](https://raw.githubusercontent.com/PixArt-alpha/PixArt-alpha.github.io/master/static/images/pixart-lcm2.png)
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# PixArt-LCM 1024px
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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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