FlashVideo vs Wan2.2
Text-to-video projects compared
FlashVideo and Wan2.2 both provide Python code and model weights for generating videos from prompts. FlashVideo focuses on a two-stage workflow that creates 270p clips and enhances them to 1080p, while Wan2.2 supports a broader range of text, image, audio, and character-animation workflows.
FlashVideo: Generate and Upscale High-Resolution Videos
FlashVideo is a two-stage text-to-video project that generates 270p clips and enhances them to 1080p. It is aimed at researchers and developers exploring efficient high-resolution video generation, with inference code and model weights available.
Wan2.2: Generate Videos from Text, Images, and Audio
Wan2.2 is a family of open video-generation models for text, image, and audio-driven workflows, plus character animation and replacement. It suits researchers and creators who can run large models on GPU hardware and want local inference options.
| FlashVideo | Wan2.2 | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 484 | 17.7k |
| Forks | 31 | 2.3k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- FlashVideo generates 270p video and then upscales it to 1080p; Wan2.2 offers multiple text-to-video and image-to-video models, including 720P options.
- FlashVideo is centered on prompt-based generation; Wan2.2 also supports speech-conditioned video, character animation, and character replacement.
- FlashVideo provides inference code and weights for both stages, while Wan2.2 offers single- and multi-GPU inference paths, including FSDP and DeepSpeed Ulysses examples.
- FlashVideo lists training code, dataset augmentation, a Diffusers implementation, and a Gradio interface as work in progress or unavailable; Wan2.2 lists integrations through Hugging Face, ModelScope, Diffusers, and ComfyUI.
- FlashVideo's default VAE decoder settings are described as suitable for an 80 GB GPU, with adjustments potentially needed on lower-memory GPUs; Wan2.2 specifies at least 80 GB for example A14B and 14B single-GPU runs, and at least 24 GB for a TI2V-5B example.
- Both projects list Python and Apache-2.0, but FlashVideo advises consulting the original CogVideoX license for usage details, while Wan2.2 advises checking its license and usage terms before deployment or distribution.
Choose FlashVideo if you…
- want a focused two-stage workflow from text prompts to 1080p video.
- need released inference code and weights for both the generation and enhancement stages.
- want to explore efficient high-resolution video generation with a research-oriented project.
Choose Wan2.2 if you…
- need video workflows driven by text, images, audio, or character references.
- want to compare model options including a unified 5B model and larger MoE models.
- can provide GPU resources for local inference and want single- or multi-GPU examples.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.