<aside> 👉🏻
This is an LLM-generated, hand-fixed summary of the #wan-chatter
channel on the Banodoco Discord.
Generated on April 7, 2025.
Created by Adrien Toupet: https://www.ainvfx.com/ Ported to Notion by Nathan Shipley: https://www.nathanshipley.com/
Thanks and all credit for content to Adrien and members of the Banodoco community who shared their work and workflow!
</aside>
<aside> ⚠️
Some images are missing.
Also, Adrien notes: “Please note I didn't verify all the information, so take it as a general overview that might contain error and not as a strict guide.”
</aside>
Back to:
Nathan’s Notes on Open Source AI
Last updated: April 7, 2025 - This content was generated using AI. Accuracy is not guaranteed, information may contain errors or omissions.
Wan 2.1 (originally called WanX) is an open-source AI video generation model suite released by Alibaba Cloud starting February 2025. It represents a significant advancement in open-source video generation capabilities, offering high-quality video generation that rivals some closed-source alternatives. The suite includes Text-to-Video (T2V) and Image-to-Video (I2V) models, along with specialized "Fun" versions for control and inpainting, and the powerful VACE module.
Model | Size | Description | VRAM Requirements (Approx.) |
---|---|---|---|
Wan2.1-T2V-1.3B | 1.3B | Smaller text-to-video model (5.6GB FP32). Good base for VACE. | 8GB+ |
Wan2.1-T2V-14B | 14B | Larger text-to-video model (FP32/BF16). Higher quality. | 24GB+ |
Wan2.1-I2V-14B-480P | 14B | Image-to-video model optimized for 480p output. | 24GB+ |
Wan2.1-I2V-14B-720P | 14B | Image-to-video model optimized for 720p output. | 32GB+ |