{"adoption": {"forks": 1099, "observed_at": "2026-08-28T04:09:59.990387+00:00", "stars": 7457}, "canonical_url": "https://ross.abutalabs.com/products/mmagic", "card": {"archived": false, "artifact_type": "library", "description": "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.", "domain": ["computer-vision", "image-processing", "deep-learning", "artificial-intelligence"], "enriched": true, "function": ["image-processing", "machine-learning", "deep-learning", "video-processing"], "health_score": 24, "homepage": "https://mmagic.readthedocs.io/en/latest/", "language": "Jupyter Notebook", "license": "Apache-2.0", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["open-mmlab/mmagic"], "name": "open-mmlab/mmagic", "platform": ["python", "windows"], "pushed_at": "2024-08-06T07:19:40+00:00", "repo": "open-mmlab/mmagic", "stars": 7457, "tags": ["generative-ai", "diffusion-models", "gan", "text-to-image", "super-resolution", "inpainting", "matting", "video-interpolation", "aigc", "pytorch", "openmmlab", "gpu", "linux", "macos"], "topics": ["super-resolution", "inpainting", "matting", "image-generation", "generative-adversarial-network", "pytorch", "deep-learning", "video-interpolation", "video-frame-interpolation", "video-super-resolution", "computer-vision", "image-editing", "image-processing", "image-synthesis", "diffusion", "text2image", "aigc", "generative-ai", "diffusion-models"], "urls": [], "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"], "what_it_is": "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.", "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"], "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"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/mmagic", "repo": "open-mmlab/mmagic", "role": "main", "score": 23}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:09:59.990387+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:37:39.433449+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b4ce42ff055d1173ca3868106399c6917fc31f6f689109b29645756b975cb21", "fetched_at": "2026-08-28T04:09:59.990387+00:00", "kind": "readme", "missing": false, "url": "https://github.com/open-mmlab/mmagic"}, {"content_hash": "e2877f730bf285de2109227118d22975683d3a92eed2cde2e0bd9fffb4ce8bb6", "fetched_at": "2026-08-29T08:33:38.876123+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/mmagic/json"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 8}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2567, "days_push": 757, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 23, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}