{"adoption": {"forks": 834, "observed_at": "2026-08-28T04:10:44.366083+00:00", "stars": 10806}, "canonical_url": "https://ross.abutalabs.com/products/streamdiffusion", "card": {"archived": false, "artifact_type": "library", "description": "StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation", "domain": ["image-processing", "deep-learning", "gpu-computing"], "enriched": true, "function": ["image-processing", "machine-learning", "deep-learning", "gpu-computing", "stable-diffusion"], "health_score": 24, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["cumulo-autumn/StreamDiffusion"], "name": "cumulo-autumn/StreamDiffusion", "platform": ["python", "windows"], "pushed_at": "2024-12-04T08:05:55+00:00", "repo": "cumulo-autumn/StreamDiffusion", "stars": 10806, "tags": ["diffusion-pipeline", "real-time-generation", "stable-diffusion", "txt2img", "img2img", "pytorch", "real-time", "gpu", "linux", "macos"], "topics": [], "urls": [], "use_cases": ["generate images in real time from text prompts", "run interactive img2img generation from a webcam feed", "build a live visual effect tool with stable diffusion", "speed up stable diffusion inference to 100 fps", "create real-time AI art installations"], "what_it_is": "StreamDiffusion is a Python pipeline for real-time interactive diffusion-based image generation, achieving 100+ fps on modern GPUs. It optimizes the standard Stable Diffusion pipeline with stream batching, residual classifier-free guidance, similarity filtering, and KV-cache pre-computation.", "when_to_avoid": ["you lack a modern NVIDIA GPU", "you need maximum image quality over speed", "you need a general-purpose diffusion library rather than a real-time pipeline"], "when_to_choose": ["you need low-latency, high-fps diffusion image generation", "you want to build interactive real-time AI image applications on a strong GPU", "you want an optimized alternative to the standard diffusers pipeline"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/streamdiffusion", "repo": "cumulo-autumn/StreamDiffusion", "role": "main", "score": 17}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:10:44.366083+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:17:39.552959+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b326930d9dbe34d4d0a784590e0205779a70120d64bd6fe6ea86a6b2c1afd4c3", "fetched_at": "2026-08-28T04:10:44.366083+00:00", "kind": "readme", "missing": false, "url": "https://github.com/cumulo-autumn/StreamDiffusion"}, {"content_hash": "a3afd6aedb607d7f590fd78d1fb27170f794cd1e9fcdf670a85503a93c5acda1", "fetched_at": "2026-08-29T08:16:35.765230+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/streamdiffusion/json"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 72, "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": 1009, "days_push": 637, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 17, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}