fofr / kolors-with-ipadapter

Kolors with style transfer, composition transfer and other IPAdapter techniques

  • Public
  • 14.2K runs
  • GitHub
  • Paper
  • License
Run with an API
Playground API Examples README Versions

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Examples

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Run time and cost

This model costs approximately $0.0076 to run on Replicate, or 131 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A40 (Large) GPU hardware. Predictions typically complete within 11 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Kolors

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.

Implementation

Using:

License

Kolors are fully open-sourced for academic research. For commercial use, please fill out this questionnaire and send it to [email protected] for registration.