{"adoption": {"forks": 284, "observed_at": "2026-08-28T04:07:39.746886+00:00", "stars": 3055}, "canonical_url": "https://ross.abutalabs.com/products/textual_inversion", "card": {"archived": false, "artifact_type": "library", "description": null, "domain": ["deep-learning", "machine-learning", "artificial-intelligence", "image-processing"], "enriched": true, "function": ["llm-training", "machine-learning", "deep-learning", "stable-diffusion", "image-processing"], "health_score": 20, "homepage": null, "language": "Jupyter Notebook", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["rinongal/textual_inversion"], "name": "rinongal/textual_inversion", "platform": ["python"], "pushed_at": "2023-02-27T08:16:02+00:00", "repo": "rinongal/textual_inversion", "stars": 3055, "tags": ["textual-inversion", "text-to-image", "latent-diffusion", "personalization", "research-code", "embeddings", "diffusion-models", "gpu", "linux"], "topics": [], "urls": [], "use_cases": ["teach a text-to-image model my own concept from a few photos", "learn a new token embedding for a custom object or style", "generate images of a specific subject in new scenes", "invert a small image set into a diffusion model embedding", "personalize latent diffusion text-to-image generation"], "what_it_is": "Official implementation of the Textual Inversion paper, which learns new word embeddings in a frozen text-to-image (Latent Diffusion) model from 3-5 example images to capture user-specific concepts. It provides training scripts, configs, and sample inversions for personalized image generation.", "when_to_avoid": ["you mainly want Stable Diffusion personalization in production - newer tools like diffusers or kohya trainers are better maintained", "you need pre-trained embeddings or polished tooling - several TODO items were never completed", "you want a no-training prompt-based approach rather than embedding optimization"], "when_to_choose": ["you want the original, paper-faithful textual inversion implementation for Latent Diffusion models", "you need to reproduce research results or build on the paper's method", "you work with the LDM text-to-image checkpoint and want embedding-based personalization"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/textual_inversion", "repo": "rinongal/textual_inversion", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:39.746886+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:28:50.996068+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cc408ef8d676e71cd62f9594f91e4c2344eb941b043e6f1dd20a75a1bb1907e9", "fetched_at": "2026-08-28T04:07:39.746886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rinongal/textual_inversion"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1492, "days_push": 1283, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}