Categories
Video AI.
Local text-to-video and image-to-video generators. Expect a serious GPU. Fit is VRAM first, then workflow.
- Rank 1. FramePackLong local image-to-video with a low VRAM floor.Apache 2.0 · Linux, WindowsGitHub stars: 17.3k
- Rank 2. Wan2.1Alibaba’s open text-to-video and image-to-video stack.Apache 2.0 · LinuxGitHub stars: 17k
- Rank 3. CogVideoXTHUDM open video diffusion with strong prompt following.Apache 2.0 · LinuxGitHub stars: 13k
- Rank 4. LTX-VideoLightricks open video model aimed at faster local clips.Apache 2.0 · Linux, WindowsGitHub stars: 10.9k
- Rank 5. HunyuanVideoTencent’s 13B video generation model — top-tier motion, heavy VRAM needs.Other · Linux, macOS, +1GitHub stars: 12.5k
- Rank 6. Open-SoraApache-2.0 research stack for training and running video diffusion on 24 GB cards.Apache 2.0 · Linux, macOS, +1GitHub stars: 29.8k
- Rank 7. MochiGenmo’s Apache-2.0 10B video model — permissive weights, heavy hardware.Apache 2.0 · Linux, macOS, +1GitHub stars: 3.7k
- Rank 8. SkyReels V1HunyuanVideo-based human-centric video model that fits one 24 GB GPU.Other · Linux, macOS, +1GitHub stars: 2.7k
