open-mmlab/mmagic
Some data may be outdated — see provenance labels.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc. observed · 2026-09-24
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2615
- days_rel: n/a
- days_push: 805
- n_releases_24m: 0
Adoption not part of the score
7469 stars · 1097 forks observed · 2026-09-24
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
MMagic is OpenMMLab's toolbox for generative and multimodal AI image/video creation, built on PyTorch. It provides a large model zoo covering diffusion models, GANs, super-resolution, inpainting, matting, and video frame interpolation with easy-to-use APIs.
Use cases
- generate images from text prompts with diffusion models
- upscale and restore low-resolution images or videos
- inpaint missing or unwanted regions in photos
- extract foreground mattes from images
- interpolate frames to increase video frame rate
- edit or synthesize images with GANs
When to choose
- you need a broad PyTorch model zoo for image generation and restoration
- you want pretrained models for super-resolution, inpainting, or matting
- you prefer OpenMMLab-style config-driven training and inference
When to avoid
- you need the latest actively developed diffusion tooling, as releases have slowed
- you want a lightweight production inference service rather than a research toolbox
- you work outside PyTorch or need non-CV generative tasks like audio or text
Facets
library · maturity maintenance
image-processing machine-learning deep-learning video-processing computer-vision image-processing deep-learning artificial-intelligence python windows generative-ai diffusion-models gan text-to-image super-resolution inpainting matting video-interpolation aigc pytorch openmmlab gpu linux macos
2 sources
- readme: https://github.com/open-mmlab/mmagic · fetched 2026-09-24 · 6b4ce42ff055
- registry_pypi: https://pypi.org/pypi/mmagic/json · fetched 2026-08-29 · e2877f730bf2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| open-mmlab/mmagic | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="open-mmlab/mmagic")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem