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Support for Kolors #8801

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@JincanDeng

Description

@JincanDeng

Model/Pipeline/Scheduler description

Yesterday Kwai-Kolors published their new model named Kolors, which uses unet as backbone and ChatGLM3 as text encoder.

Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and closed-source models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content.

Open source status

  • The model implementation is available.
  • The model weights are available (Only relevant if addition is not a scheduler).

Provide useful links for the implementation

Implementation: https://github.com/Kwai-Kolors/Kolors
Weights: https://huggingface.co/Kwai-Kolors/Kolors

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