zeke / sd3-inpainting-with-differential-diffusion

Stable Diffusion 3 with Differential Diffusion inpainting (experimental)

  • Public
  • 263 runs
  • GitHub
Run with an API
Playground API Examples README Versions

Examples

View more

Run time and cost

This model costs approximately $0.065 to run on Replicate, or 15 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 GPU hardware. Predictions typically complete within 113 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Differential Diffusion is an inpainting technique that uses the grayscale levels of a mask image to determine the intensity of inpainting, allowing for selective modifications at different image regions.

⚠️ This is an experimental model, and a work in progress. See https://github.com/replicate/cog-stable-diffusion-3/pull/4

This is for non-commercial use only and is intended for model exploration. If you want to use this model commercially, see Stability AI Self-Hosted License or use Replicate’s official version of SD3 at replicate.com/stability-ai/stable-diffusion-3.