video generation / AIGC
Wan2.1 is an open-source large-scale video generative model suite supporting text-to-video, image-to-video, video editing, text-to-image, and video-to-audio, with a low VRAM friendly 1.3B T2V model.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose it when you want a high-quality image-to-video model from Tencent Hunyuan's architecture; note the NOASSERTION license differs from Wan2.1's Apache-2.0.
HunyuanVideo-I2V: A Customizable Image-to-Video Model based on HunyuanVideo
Choose it when you want Tencent's large video generation framework; note its NOASSERTION license versus Wan2.1's Apache-2.0.
HunyuanVideo: A Systematic Framework For Large Video Generation Model
Choose it when you need an alternative open-source text/image-to-video suite with Apache-2.0 and strong model maturity.
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose it when you specifically need subject-consistent video generation; it's a specialized, older diffusion research model, not a general T2V/I2V suite.
Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment
Choose it when pose-guided text-to-video generation is required; it is an older, specialized diffusion codebase with no recent maintenance.
[AAAI 2024] Follow-Your-Pose: This repo is the official implementation of "Follow-Your-Pose : Pose-Guided Text-to-Video Generation using Pose-Free Videos"
Choose it when you need a dedicated text-driven video-editing diffusion model, but it is older and less actively maintained.
[ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing
These projects were analysed and named Wan2.1 among their alternatives. The relationship is not symmetric — how Wan2.1 rates them is a separate judgement, made when Wan2.1 is analysed in its own right.
calls Wan2.1 “An earlier Wan version; select it if you specifically need that generation's checkpoints or codebase.”
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.