CogVideo supports text to video and image to video generation in its CogVideo and CogVideoX model projects.
Open source
24 alternativesWan2.1
The Wan2.1 project provides open video generation models for creating videos from prompts.
About Wan2.1
Wan2.1 is an open suite of video foundation models distributed with inference code and weights for local use. It supports text-to-video, image-to-video, video editing, text-to-image, and video-to-audio, including generation of Chinese and English text visible in videos.
The T2V-1.3B model requires 8.19 GB of VRAM and generates a 5-second 480P video on an RTX 4090 in about 4 minutes without quantization. Its T2V and I2V models can be used through Diffusers and ComfyUI.
Key features
- Text-to-video generation from written prompts
- Image-to-video generation from a starting image
- Video editing through VACE creation and editing model
- Text-to-image generation
- Video-to-audio generation
- Generates Chinese and English text visible in videos
Best for: Developers and researchers with GPU access who want to run open video generation models locally.
Good for
- Inference code and model weights are publicly available
- T2V-1.3B runs with 8.19 GB VRAM
- T2V and I2V models work with Diffusers and ComfyUI
Watch out for
- Requires a GPU with at least 8.19 GB VRAM for T2V-1.3B
- Takes about 4 minutes to generate 5-second 480P video on RTX 4090
Wan2.1 at a glance
- Website
- github.com/Wan-Video/Wan2.1
- Category
- AI & Machine Learning › AI Video Generators
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Wan2.1 FAQ
What hardware is needed to run the T2V-1.3B model?
It requires 8.19 GB VRAM and generates a 5-second 480P video on an RTX 4090 in about 4 minutes without quantization.
What tasks does Wan2.1 support?
Text-to-video, image-to-video, video editing, text-to-image, and video-to-audio.
Does Wan2.1 work with other tools?
Its T2V and I2V models have been integrated into Diffusers and ComfyUI.
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