Kolors by Kuaishou is an openly downloadable model for generating and editing images. It accepts prompts in Chinese and English, creates images from text, and can transform an existing picture. It is not primarily a one-click web service: the clearest way to use the original Kolors release is to download the model from its official repository or Hugging Face page and run it on your own computer or server.
Kolors and Kling are not the same product
Kuaishou previously operated a standalone Kolors platform under the Chinese name ๅฏๅพ. That service stopped providing creation tools in August 2024 and directed users to Kling AI. Kling remains Kuaishou's current browser-based image and video platform, but its latest interface promotes the Kling Image model family rather than labeling every generation as the original open Kolors release. For that reason, the official repository is the most accurate primary link for this card, while Kling should be described as a related current platform rather than the same product.
Generation, editing, and image control
The base model supports text-to-image generation with prompts of up to 256 tokens. Kuaishou developed it with an emphasis on photorealistic scenes, portraits, complex prompt understanding, and Chinese cultural content. The official project also provides an image-to-image pipeline, allowing a source image to guide a new result alongside a text instruction.
The broader Kolors project includes tools for more controlled workflows. ControlNet variants can use edges, depth, or pose; inpainting replaces a selected part of an image; and IP-Adapter accepts a visual reference. Kuaishou has also published components for identity preservation, LoRA and DreamBooth training, and virtual clothing try-on. These are developer-oriented modules rather than switches in a single hosted interface, and some require separate weights, dependencies, or configuration.
Why a 2024 benchmark is no longer a verdict
The model's official evaluation reported strong visual appeal and prompt alignment. However, those comparisons used competing product versions available in April 2024. They should not be presented as a current 2026 ranking. Anyone choosing a ready-to-use service should compare Kolors with other AI image generators based on current output quality, speed, control options, and licensing.
Local setup and the commercial-use license
The official weights are hosted on Hugging Face, with source code and setup instructions on GitHub. Kuaishou lists Python 3.8 or later, PyTorch 1.13.1 or later, and CUDA 11.7 or later as recommended foundations. The project can also be loaded through Diffusers. Actual memory and hardware needs vary with numerical precision, the selected pipeline, and any additional control modules.
As checked on July 13, 2026, Kuaishou does not list a standalone per-generation price for Kolors. A self-hosted installation uses the operator's own hardware or cloud infrastructure. The repository code is published under Apache 2.0, while the model weights are governed by a separate model license. The weights are available for academic research, and commercial users are instructed to submit Kuaishou's registration questionnaire. Describing the model as unrestricted free software for every commercial use would therefore be misleading.
When Kolors is worth the setup
Kolors requires more technical skill and infrastructure than a browser generator. It is a better fit for ML developers, researchers, and product teams that want a controllable self-hosted workflow than for someone who needs a single image immediately. Chinese and English are the officially supported prompt languages; the developer does not promise equivalent performance for other languages.
Like other generative image models, Kolors can produce distorted details, unreliable text, or unexpected content. Its authors explicitly state that they cannot guarantee the accuracy or safety of every output. Identity-preservation and virtual try-on features should only be used with the subject's consent. Generated material still needs human review, and commercial teams should confirm that their intended use complies with the current model license.
