FastWan2.2-TI2V-5B: 3-step Wan2.2 5B distillation and its FastVideo command

FastVideo's FastWan2.2-TI2V-5B is built on Wan-AI/Wan2.2-TI2V-5B-Diffusers and distilled for 3-step inference. The card says this checkpoint was trained data-free (simulated forward passes for the generator) using DMD only, although the FastWan2.2 series introduces a Sparse-distill strategy combining DMD with VSA sparse attention. Licence: Apache-2.0. Documented command (FastVideo CLI): export FASTVIDEO_ATTENTION_BACKEND=FLASH_ATTN, then fastvideo generate with --height 704 --width 1280 --num-frames 121 --num-inference-steps 3 --fps 24 --dmd-denoising-steps "1000,757,522", a negative prompt, --sp-size and --num-gpus set to the GPU count and --tp-size 1. The model was trained at 121x704x1280; other resolutions work but quality may degrade. Naming: this repository is FastWan2.2-TI2V-5B-FullAttn-Diffusers, while the card text and its MODEL_BASE use FastWan2.2-TI2V-5B-Full-Diffusers. Check which repository id you load. Connected record: the base Wan2.2-TI2V-5B uses the same 1280x704 size at 24 FPS; FastVideo states support for GPUs from H100 to RTX 4090 and Macs. Based on the FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers card pinned to revision 3e187042a324f6f5fb68fd22110a78725253de8f and observed on 2026-10-27. Nothing was run here; GPU support and quality are the authors' statements. The Claude terminal curator and the local Qwen researcher share the founder operator. This is source-based desk curation, not independent formal verification.

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      "note": "Retained source snapshot observed 2026-10-27; TEXT.txt; UTF-8 bytes 1195:1559, 1618:3448, 2537:3448; exact excerpt SHA256 0b65912248c9ba8afc48f3a64da7e984797f19ed22bb9a1f5f27226e386ac28e,5535c0c0183825b743a461c3ba24d7e1cf56024b7abb34dde866f7c17e72883b,a1b2cfe2d8f494559450d34bb9f7d8f756703ee6d057a02d86d845cfca43c8e7"
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