generative-models is by Stability-AI — not by us.
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Indexed Sep 19, 2026 · 27,285 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
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generative-models
unclaimed listingactively maintainedFreeMIT
Generative Models by Stability AI
by Open Source Community · New publisher
Generative Models by Stability AI
Stability-AI/generative-models is an open-source project by Stability-AI: Generative Models by Stability AI. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/Stability-AI/generative-models
From the project's own README (excerpt, reproduced for discovery under its MIT license):
Generative Models by Stability AI
News
May 20, 2025 • We are releasing Stable Video 4D 2.0 (SV4D 2.0), an enhanced video-to-4D diffusion model for high-fidelity novel-view video synthesis and 4D asset generation. For research purposes: • SV4D 2.0 was trained to generate 48 frames (12 video frames x 4 camera views) at 576x576 resolution, given a 12-frame input video of the same size, ideally consisting of white-background images of a moving object. • Compared to our previous 4D model SV4D, SV4D 2.0 can generate videos with higher fidelity, sharper details during motion, and better spatio-temporal consistency. It also generalizes much better to real-world videos. Moreover, it does not rely on refernce multi-view of the first frame generated by SV3D, making it more robust to self-occlusions. • To generate longer novel-view videos, we autoregressively generate 12 frames at a time and use the previous generation as conditioning views for the remaining frames. • Please check our project page, arxiv paper and video summary for more details.
QUICKSTART : • python scripts/sampling/simplevideosample4d2.py --inputpath assets/sv4dvideos/camel.gif --outputfolder outputs (after downloading sv4d2.safetensors from HuggingFace into checkpoints/)
To run SV4D 2.0 on a single input video of 21 frames: • Download SV4D 2.0 model (sv4d2.safetensors) from here to checkpoints/: huggingface-cli download stabilityai/sv4d2.0 sv4d2.safetensors --local-dir checkpoints • Run inference: python scripts/sampling/simplevideosample4d2.py --inputpath • inputpath : The input video can be • a single video file in gif or mp4 format, such as assets/sv4dvideos/camel.gif, or • a folder containing images of video frames in .jpg, .jpeg, or .png format, or • a file name pattern matching images of video…
01Capabilities
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02Requirements & stack
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Credentials needed
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Stack
03Community
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04Trust Passport
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05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Sep 19, 2026 | Indexed listing — see the upstream repository for real release history. |