Kolors: Effective Training of Diffusion Model for Photorealistic Text to Image Synthesis       📖 Introduction 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 proprietary 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. For more details, please refer to this technical report . 🚀 Quick Start Using with Diffusers Make sure you upgrade to the latest version of diffusers==0.30.0.dev0: Notes: The pipeline uses the EulerDiscreteScheduler by default. We recommend using this scheduler with guidance scale=5.0 and num inference steps=50 . The pipeline also supports the EDMDPMSolverMultistepScheduler . guidance scale=5.0 and num inference steps=25 is a good default for this scheduler. In addition to Text to Image, KolorsImg2ImgPipeline also supports Image to Image. And then you can run: �…
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