{"id":27957638,"url":"https://github.com/laion-ai/dataset-usage","last_synced_at":"2026-02-12T05:14:11.940Z","repository":{"id":52919603,"uuid":"486230986","full_name":"LAION-AI/dataset-usage","owner":"LAION-AI","description":"This repository is a summary of all systems and scientific papers that use LAION datasets.","archived":false,"fork":false,"pushed_at":"2022-04-27T15:13:27.000Z","size":11,"stargazers_count":6,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-05-07T18:13:51.105Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LAION-AI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-04-27T14:40:08.000Z","updated_at":"2022-08-15T18:44:53.000Z","dependencies_parsed_at":"2022-08-23T18:41:41.426Z","dependency_job_id":null,"html_url":"https://github.com/LAION-AI/dataset-usage","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LAION-AI%2Fdataset-usage","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LAION-AI%2Fdataset-usage/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LAION-AI%2Fdataset-usage/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LAION-AI%2Fdataset-usage/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LAION-AI","download_url":"https://codeload.github.com/LAION-AI/dataset-usage/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252931550,"owners_count":21827112,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-05-07T18:13:55.213Z","updated_at":"2026-02-12T05:14:10.514Z","avatar_url":"https://github.com/LAION-AI.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# dataset-usage\nThis repository is a summary of all systems and scientific papers that use LAION datasets.\n\n## Papers citing LAION datasets\n\n### LAION-5B\n\nT.B.C.\n\n### LAION-400M\nAfter the release of LAION-400M, several papers used LAION-400M for image generation, text to image generation, image to text generation and text image matching:\n\n- [Vector Quantized Diffusion Model for Text-to-Image Synthesis](https://arxiv.org/abs/2111.14822.pdf) used LAION-400M to train VQ diffusion text to image generation models\n- [High-Resolution Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2112.10752.pdf) used a subset of LAION-400M to train latent diffusion models\n- [General Facial Representation Learning in a Visual-Linguistic Manner](https://arxiv.org/abs/2112.03109.pdf) LAION-400M face subset to train a face clip\n- [BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation](https://arxiv.org/abs/2201.12086) image captioning using LAION-400M subset\n- [MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning](https://arxiv.org/pdf/2112.05253.pdf) was trained on image question answering using a LAION-400M subset\n\n## Models trained on LAION datasets\n\n### GLIDE finetuning\n\nClay Mullis (alias afiaka87) used subsets of LAON-2B to fine-tune the Open-AI Glide model and managed to reintroduce human generations.\n\n- https://replicate.com/afiaka87/laionide-v3 \n- https://wandb.ai/afiaka87/glide_compare/reports/Finetuning-GLIDE-on-Laion5B–VmlldzoxNTg3MTkz\n- https://wandb.ai/afiaka87/laionide-v3-glide/reports/Laionide-Version-3-Benchmark–VmlldzoxNjE0MTE3\n\n### CLOOB\n\nhttps://github.com/crowsonkb/cloob-training\n\n# future projects\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flaion-ai%2Fdataset-usage","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flaion-ai%2Fdataset-usage","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flaion-ai%2Fdataset-usage/lists"}