Model reference · open weights

FastWan2.2-TI2V-FullAttn

FastWan2.2-TI2V-FullAttn is an open-weight video model from FastVideo, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Video FastVideo 1 variants 93k downloads/mo
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About

What FastWan2.2-TI2V-FullAttn is

FastVideo FastWan2.2-TI2V-5B-FullAttn-Diffusers Model Online Demo You can try our models here! Introduction We're excited to introduce the FastWan2.2 series—a new line of models finetuned with our novel Sparse-distill strategy. This approach jointly integrates DMD and VSA in a single training process, combining the benefits of both distillation to shorten diffusion steps and sparse attention to reduce attention computations, enabling even faster video generation. FastWan2.2-TI2V-5B-Full-Diffusers is built upon Wan-AI/Wan2.2-TI2V-5B-Diffusers. It supports efficient 3-step inference and produces high-quality videos at 121×704×1280 resolution. For training, we used simulated forward for the generator model, making the process data-free. The current FastWan2.2-TI2V-5B-Full-Diffusers model is trained using only DMD. Model Overview - 3-step inference is supported. - Our model is trained on 121×704×1280 resolution, but it supports generating videos with any resolution.(quality may degrade) - Finetuning and inference scripts are available in the FastVideo repository: - 1 Node/GPU debugging finetuning script - Slurm training example script - Inference script - Try it out on FastVideo — we support a wide range of GPUs from H100 to 4090, and also support Mac users! Training Infrastructure Training was conducted on 8 nodes with 64 H200 GPUs in total, using a global batch size = 64, and training runs for 3000 steps (~12 hours) If you use the FastWan2.2-TI2V-5B-FullAttn-Diffusers model for your research, please cite our paper:

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

MakerFastVideo
TypeVideo models
Parameters (lead)5.0B
Variants1
Runs withdiffusers
Released2025-08-02
Popularity93k downloads / month
Likes69
LicenceOpen weights

How it works

How video models work

Prompt / imagestart pointTemporal diffusionframes over timeVideoMP4 clipA video model generates a sequence of coherent frames from your prompt or a starting image.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
FastWan2.2-TI2V-5B-FullAttn-Diffusers5.0BBF16~11.5 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys fastwan2-2-ti2v-fullattn for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (fastwan2-2-ti2v-fullattn below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/videos/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"fastwan2-2-ti2v-fullattn","prompt":"a drone shot over a forest"}'

Details

Languages, data & research

Tags

diffusers safetensors text-to-video diffusers:WanDMDPipeline

Papers

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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