{"data":{"slug":"cloneofsimo-lora","name":"lora","tagline":"Jupyter Notebook repository for fine-tuning diffusion models using Low-Rank Adaptation.","github_url":"https://github.com/cloneofsimo/lora","owner":"cloneofsimo","repo":"lora","owner_avatar_url":"https://avatars.githubusercontent.com/u/35953539?v=4","primary_language":"Jupyter Notebook","stars":7556,"forks":497,"topics":["diffusion","dreambooth","fine-tuning","lora","stable-diffusion"],"archived":false,"github_pushed_at":"2024-03-22T03:48:10+00:00","maintenance_label":"Dormant","stars_delta_30d":11,"url":"https://www.graphcanon.com/tools/cloneofsimo-lora","markdown_url":"https://www.graphcanon.com/tools/cloneofsimo-lora.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/cloneofsimo-lora","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=cloneofsimo-lora","description":"Using Low-rank adaptation to quickly fine-tune diffusion models.","homepage_url":"https://arxiv.org/abs/2106.09685","license":"Apache-2.0","open_issues":88,"watchers":53,"ai_summary":"This repository explores the application of Low-Rank Adaptation (LoRA) to fine-tune pre-existing diffusion models like Stable Diffusion, providing a quick method for model customization. The project uses Jupyter Notebooks as its primary development environment to facilitate interactive experimentation and learning in the field of AI.","readme_excerpt":"# Installation\n\n```bash\npip install git+https://github.com/cloneofsimo/lora.git\n```","github_created_at":"2022-12-08T00:09:05+00:00","created_at":"2026-07-11T11:37:11.417127+00:00","updated_at":"2026-09-20T06:27:59.916083+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"diffusion","name":"diffusion"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"lora","name":"lora"},{"slug":"stable-diffusion","name":"stable-diffusion"}],"trust":{"provenance":{"is_fork":false,"github_id":575628616,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-19T18:22:11.517Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":911,"last_release_at":"2023-02-13T09:09:22Z","stars_delta_30d":11,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:37:12.755Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-19T18:22:12.561Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-09-19T18:22:12.561Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-19T18:22:12.561Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["Suitable for developers and researchers looking to experiment with diffusion models in an interactive Jupyter Notebook environment."],"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"requires_docker":false},"when_to_use":["Use Lora when you need to fine-tune existing diffusion models quickly with interactive experimentation capabilities available via Jupyter Notebooks.","Leverage Lora if your project benefits from rapid prototyping and iterative adjustments specifically for diffusion models like Stable Diffusion."],"when_not_to_use":["Do not use Lora when you require a more thorough or comprehensive fine-tuning approach that goes beyond quick customization through low-rank adaptation.","Avoid Lora if your development workflow is not compatible with Jupyter Notebooks, as this is the primary environment provided by the repository."],"source":"enrich:decision_facts","observed_at":"2026-07-14T18:31:57.667Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"Suitable for developers and researchers looking to experiment with diffusion models in an interactive Jupyter Notebook environment."},{"label":"Adopt for","value":"Lora is designed for quick model customization through low-rank adaptation of pre-existing diffusion models like Stable Diffusion using Jupyter Notebooks in an interactive learning environment."},{"label":"License detail","value":"The project is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution."}]}}