Kwai-Kolors/Kolors

Health v2 · maintenance only

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Adoption not part of the score

4615 stars · 357 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Kolors is a large-scale latent diffusion model for photorealistic text-to-image synthesis, trained with bilingual (Chinese and English) text understanding. The repository provides inference code, pretrained weights, and extensions including ControlNet, IP-Adapter, inpainting, and DreamBooth-LoRA training.

Use cases

• generate photorealistic images from text prompts
• run text-to-image generation with Chinese and English prompts
• fine-tune a diffusion model with DreamBooth LoRA on custom subjects
• control image generation with pose, canny, or depth conditioning
• inpaint or edit regions of generated images
• preserve identity or faces in generated portraits with IP-Adapter

When to choose

• you need high-quality photorealistic text-to-image generation with strong bilingual text rendering
• you want a diffusion model integrated with Hugging Face Diffusers
• you need ControlNet, IP-Adapter, or inpainting extensions for controllable image synthesis
• you want to fine-tune a text-to-image model on your own images with LoRA

When to avoid

• you need a lightweight model that runs without a GPU
• you only need image classification or detection rather than image generation
• you require a fully self-hosted production image API out of the box rather than model code and weights

Facets

library · maturity active

machine-learning deep-learning image-processing llm-training artificial-intelligence deep-learning image-processing computer-vision python cross-platform text-to-image diffusion-model stable-diffusion generative-ai diffusers controlnet ip-adapter inpainting dreambooth lora photorealistic huggingface gpu linux

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