GaParmar/img2img-turbo
One-step image-to-image translation model using Stable Diffusion turbo for sketch2image, day2night, and other domain translation tasks.
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This project presents CycleGAN-Turbo and pix2pix-turbo, which adapt single-step diffusion models like SD-Turbo for image-to-image translation tasks in both paired and unpaired settings. It uses adversarial learning to leverage pre-trained diffusion model knowledge while achieving fast inference (0.29 seconds on A6000 for 512x512 images). The models outperform existing GAN-based and diffusion-based methods for sketch-to-photo and edge-to-image generation.
Frequently asked
- What is GaParmar/img2img-turbo?
- One-step image-to-image translation model using Stable Diffusion turbo for sketch2image, day2night, and other domain translation tasks.
- Is img2img-turbo open source?
- Yes — GaParmar/img2img-turbo is open source, released under the MIT license.
- What language is img2img-turbo written in?
- GaParmar/img2img-turbo is primarily written in Python.
- How popular is img2img-turbo?
- GaParmar/img2img-turbo has 2.5k stars on GitHub.
- Where can I find img2img-turbo?
- GaParmar/img2img-turbo is on GitHub at https://github.com/GaParmar/img2img-turbo.