unsloth/Wan2.2-TI2V-5B-FP8

text-to-video model by unsloth

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This is an FP8 / INT8 quantized version of Wan2.2-TI2V-5B. Prompt: "cute sloth typing on a computer" (first frame of the generated clip) Wan: Open and Advanced Large-Scale Video Generative Models We are excited to introduce Wan2.2, a major upgrade to our foundational video models. With Wan2.2, we have focused on incorporating the following innovations: This repository contains our TI2V-5B model, built with the advanced Wan2.2-VAE that achieves a compression ratio of 16×16×4. This model supports both text-to-video and image-to-video generation at 720P resolution with 24fps and can runs on single consumer-grade GPU such as the 4090. It is one of the fastest 720P@24fps models available, meeting the needs of both industrial applications and academic research. If your research or project builds upon Wan2.1 or Wan2.2, we welcome you to share it with us so we can highlight it for the broader community. Clone the repo: Install dependencies: Download models…

unsloth/Wan2.2-TI2V-5B-FP8 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-03T06:53:21.835Z

Inside the original model card — Document outline
  1. Samples
  2. Wan2.2
  3. Video Demos
  4. 🔥 Latest News!!
  5. Community Works
  6. 📑 Todo List
  7. Run Wan2.2
  8. Installation
  9. Model Download
  10. Run Text-Image-to-Video Generation
  11. Computational Efficiency on Different GPUs
  12. Introduction of Wan2.2

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Model overview

unsloth/Wan2.2-TI2V-5B-FP8 is a text-to-video model repository published by unsloth on Hugging Face. The source reports the diffusers library.

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Model facts

Task
text-to-video
Library
diffusers
Recent downloads (30 days)
13,644
Cumulative likes
8
Hugging Face trending score
0
Reported safetensors parameters
4,999,787,712
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-07-18T00:39:46.000Z
Last modified
2026-10-22T12:02:51.000Z

Compatibility and lineage

Reported languages: en, zh

Reported base models: Wan-AI/Wan2.2-TI2V-5B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-03T06:52:23.685Z. Daily imports are snapshots, not real-time monitoring.

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