{"id":28965358,"url":"https://github.com/outofai/gen3c-modal","last_synced_at":"2025-06-24T06:11:14.937Z","repository":{"id":299711547,"uuid":"1003704545","full_name":"OutofAi/GEN3C-MODAL","owner":"OutofAi","description":"GRADIO GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control","archived":false,"fork":false,"pushed_at":"2025-06-17T23:19:00.000Z","size":14,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-17T23:33:07.008Z","etag":null,"topics":["camera-control","gen3c","gradio","modal","video-diffusion-model"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/OutofAi.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-06-17T14:40:50.000Z","updated_at":"2025-06-17T23:19:04.000Z","dependencies_parsed_at":"2025-06-17T23:33:08.691Z","dependency_job_id":"3cc71100-4083-4c36-a16f-165d8592a49b","html_url":"https://github.com/OutofAi/GEN3C-MODAL","commit_stats":null,"previous_names":["outofai/gen3c-modal"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/OutofAi/GEN3C-MODAL","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OutofAi%2FGEN3C-MODAL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OutofAi%2FGEN3C-MODAL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OutofAi%2FGEN3C-MODAL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OutofAi%2FGEN3C-MODAL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/OutofAi","download_url":"https://codeload.github.com/OutofAi/GEN3C-MODAL/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OutofAi%2FGEN3C-MODAL/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261618141,"owners_count":23185098,"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":["camera-control","gen3c","gradio","modal","video-diffusion-model"],"created_at":"2025-06-24T06:11:13.906Z","updated_at":"2025-06-24T06:11:14.928Z","avatar_url":"https://github.com/OutofAi.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# GRADIO GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control\n\nThis the Gradio variation of https://github.com/nv-tlabs/GEN3C to run on https://modal.com/. Currently Running on a Single A100-80GB GPU \nwith inference time for each clip around ~15 mins. Modal offers 30 dollars for free for GPU computing which is more than enough to run this\nmodel for couple of inferences!\n\nMake sure you have Modal module installed\nYou have to always make sure that you have requested access to https://huggingface.co/nvidia/Cosmos-Tokenize1-CV8x8x8-720p repo as it's a gated repo\n```\npython3 -m pip install Modal\n```\n\nand also set up correctly\n\n```\npython3 -m modal setup\n```\n\nyou would also need a huggingface Token set a Secret with the name HF_TOKEN on modal dashboard then simply deploy the model\n\n```\npython3 -m modal deploy modal_cli.py\n```\n\nThe first time runnning the Gradio interface, you would need to dowload the models on Modal's storage by clicking Download Checkpoints\nbefore running inference, it's 70+ GB of data and then after you wouldn't need to download it anymore as it gets stored on the given volume\n\n## Examples\n\n\n![image](https://github.com/user-attachments/assets/598f3e26-418d-48cd-b5d7-1cb25c39224b)\n\n\nhttps://github.com/user-attachments/assets/ce04b86a-40ec-4571-ab94-936979fd5908\n\nhttps://github.com/user-attachments/assets/98590b46-f0cb-49fe-bf93-6bb0f2359935\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foutofai%2Fgen3c-modal","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foutofai%2Fgen3c-modal","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foutofai%2Fgen3c-modal/lists"}