How to run Kolors locally

Kuaishou (Kolors Team) · Text → image · 2.7B params · Apache-2.0 code; commercial use requires registration (non-commercial)

Kuaishou's photorealistic latent-diffusion model with excellent bilingual (Chinese/English) text rendering; commercial use needs a registration form.

What it costs to run — $0 markup

On your own machine — $0. Runs free if you have about 12 GB of VRAM (~12GB; SDXL-style UNet with a large GLM text encoder), via Diffusers / ComfyUI.
Rent a GPU — from $0.26/hr. Fits RTX 3090 24GB at the direct vendor price ($0 markup) — pay only for the minutes you generate.
Download the weights — free. Open weights at Kwai-Kolors/Kolors.

Note: generative-media models are billed per image / per second / per minute on hosted services — not per token. Running locally or on your own rented GPU is usually far cheaper and keeps your data on your machine.

Key facts

Does	Text → image
VRAM to run	~12 GB (~12GB; SDXL-style UNet with a large GLM text encoder)
Download	~11 GB
Parameters	2.7B
License	Apache-2.0 code; commercial use requires registration (non-commercial)
Run with	Diffusers / ComfyUI

Get Kolors on Hugging Face →

More image models

FLUX.1 [dev] — Text → image, ~12 GB VRAM
Stable Diffusion XL 1.0 (SDXL) — Text → image, ~8.0 GB VRAM
Stable Diffusion 1.5 — Text → image, ~4.0 GB VRAM
FLUX.1 Kontext [dev] — Image editing, ~12 GB VRAM
FLUX.1 [schnell] — Text → image, ~12 GB VRAM
Qwen-Image — Text → image, ~24 GB VRAM

Browse: all media models · chat / LLM models