Spaces:
Paused
Paused
File size: 1,927 Bytes
8fab102 d47df1b 8fab102 d47df1b 8fab102 d47df1b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | ---
title: Wan2.2 TI2V 5B Video Generator
emoji: 🐳
colorFrom: purple
colorTo: blue
sdk: docker
pinned: false
hardware: t4-medium
---
# 🐳 Wan2.2 TI2V 5B — Text & Image to Video
This Space runs [Wan-AI/Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B), a state-of-the-art open-source video generation model that produces 720p @ 24fps clips.
## Features
- **Text-to-Video** — describe a scene, get a video
- **Image-to-Video** — upload a starting image, let AI animate it
- **720p @ 24fps** output
- Runs on **T4 (16 GB VRAM)** or larger GPUs
## Getting Started
1. Go to **Settings → Hardware** and select `T4 medium` (16 GB VRAM) or `L4` (24 GB)
2. Wait for the Space to build (first build takes ~10 min)
3. Enter a prompt, optionally upload an image, and click **Generate**
> ⚠️ First generation downloads the model (~54 GB). Subsequent runs use the cached model.
## Hardware Requirements
| GPU | VRAM | Works? | Notes |
|-----|------|--------|-------|
| T4 (free) | 16 GB | ⚠️ Tight | May OOM on 720p. Use `L4` or tune `num_frames` lower |
| T4 medium ($) | 16 GB | ⚠️ Borderline | Enable CPU offload if needed |
| L4 | 24 GB | ✅ Good | Recommended |
| A10G | 24 GB | ✅ Great | |
| A100 | 40/80 GB | ✅ Overkill | Fast! |
## API Usage
You can also call the `/generate` endpoint directly:
```bash
# Text-to-Video
curl -X POST https://sayeed105236-dotprogrammers.hf.space/generate \
-F "prompt=A cat astronaut floating in space" \
-F "steps=30" \
-o video.mp4
# Image-to-Video
curl -X POST https://sayeed105236-dotprogrammers.hf.space/generate \
-F "prompt=Summer beach vacation, the cat looks at the camera" \
-F "image=@cat.jpg" \
-F "steps=30" \
-o video.mp4
```
## Built With
- [Wan2.2 TI2V 5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers) by Wan Team
- [Diffusers](https://github.com/huggingface/diffusers) (main branch)
- FastAPI + UVicorn
|