{"adoption": {"forks": 196, "observed_at": "2026-08-28T04:05:42.983570+00:00", "stars": 1840}, "canonical_url": "https://ross.abutalabs.com/products/hunyuanvideo-i2v", "card": {"archived": false, "artifact_type": "library", "description": "HunyuanVideo-I2V: A Customizable Image-to-Video Model based on HunyuanVideo", "domain": ["deep-learning", "artificial-intelligence", "image-processing", "media"], "enriched": true, "function": ["machine-learning", "deep-learning", "video-processing", "image-processing", "llm-inference"], "health_score": 66, "homepage": "https://video.hunyuan.tencent.com/", "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "active", "member_repos": ["Tencent-Hunyuan/HunyuanVideo-I2V"], "name": "Tencent-Hunyuan/HunyuanVideo-I2V", "platform": ["python"], "pushed_at": "2026-04-07T06:13:09+00:00", "repo": "Tencent-Hunyuan/HunyuanVideo-I2V", "stars": 1840, "tags": ["diffusion-models", "image-to-video", "video-generation", "lora-training", "pytorch", "generative-ai", "video", "gpu", "linux"], "topics": ["diffusion-models", "image-to-video", "image-to-video-generation", "videogeneration"], "urls": [], "use_cases": ["generate a video from a single still image", "animate photos with a text prompt", "train a LoRA for custom video special effects", "run image-to-video diffusion inference on GPUs", "speed up video generation with parallel inference", "create AI video effects from custom images"], "what_it_is": "HunyuanVideo-I2V is Tencent's open-source image-to-video generation framework built on the HunyuanVideo diffusion model, providing PyTorch model definitions, pre-trained weights, and inference code. It also includes LoRA training code for creating customizable video special effects.", "when_to_avoid": ["you need lightweight or CPU-only video generation", "you want a polished end-user app rather than model code", "you cannot meet the high GPU/VRAM requirements", "you need a permissively licensed model for commercial use without review"], "when_to_choose": ["you need state-of-the-art open-source image-to-video generation", "you want to fine-tune video effects with LoRA training", "you have GPU resources for large diffusion model inference", "you want customizable, prompt-driven video animation from images"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/hunyuanvideo-i2v", "repo": "Tencent-Hunyuan/HunyuanVideo-I2V", "role": "main", "score": 54}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:42.983570+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:18:02.975197+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "776f531651feb1b95bd248bce0a14901df856300fa9adbd45cc90d439cb9be5e", "fetched_at": "2026-08-28T04:05:42.983570+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/HunyuanVideo-I2V"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 76, "longevity": 39, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 547, "days_push": 148, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 54, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}