yuni-eng / controlnet-sdxl

Create variations of an uploaded image. Please see README for more details

  • Public
  • 979 runs
  • GitHub
  • License

Run time and cost

This model costs approximately $0.0096 to run on Replicate, or 104 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 14 seconds.

Readme

Create variations of an uploaded image. The model uses ControleNet Canny + SDXL.

Usage Instructions:

1) Start with an image on a black-and-white background. If you do not have a base image, you can use our coloring page generator here: https://replicate.com/yuni-eng/coloring. Use this model to generate your desired black and white colored image

2) Upload the base image in this model

3) prompt for art medium variations or generate images in different color palettes.

References:

1) Adopted from: https://github.com/lucataco/cog-sdxl-controlnet

2) Some inspirations on how to generate creative outputs: https://karimjedda.com/beautiful-data-visualizations-powered-by-generative-ai/