omerbt/MultiDiffusion
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
MultiDiffusion helps creative professionals like graphic designers, marketers, and artists generate high-quality images with precise control, without needing to retrain complex AI models. You provide text descriptions and optional spatial guides like segmentation masks or bounding boxes, and it outputs tailored, diverse images that adhere to your creative vision. This is perfect for anyone needing specific visual outcomes from text-to-image AI.
1,057 stars. No commits in the last 6 months.
Use this if you need to create custom images with fine-grained control over elements like aspect ratio (e.g., panoramas) or the placement of objects, using existing text-to-image models.
Not ideal if you're looking for simple, unconstrained image generation where specific spatial or structural control isn't a priority.
Stars
1,057
Forks
64
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 21, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/omerbt/MultiDiffusion"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
xie-lab-ml/Golden-Noise-for-Diffusion-Models
[ICCV2025] The code of our work "Golden Noise for Diffusion Models: A Learning Framework".
yulewang97/ERDiff
[NeurIPS 2023 Spotlight] Official Repo for "Extraction and Recovery of Dpatio-temporal Structure...
UNIC-Lab/RadioDiff
This is the code for the paper "RadioDiff: An Effective Generative Diffusion Model for...
pantheon5100/pid_diffusion
This repository is the official implementation of the paper: Physics Informed Distillation for...
zju-pi/diff-sampler
An open-source toolbox for fast sampling of diffusion models. Official implementations of our...