Wan 2.2 TI2V 5B is the most accessible open-source text-to-video model in 2026, and the first one that genuinely runs on a single 24 GB consumer card without exotic offloading. Generation speed lands around 30-60 seconds for a 5-second 480p clip on an RTX 4090.
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| FP16 | 16 | 10 GB | 16 GB | 24 GB | 100% |
| Q8 | 8 | 5 GB | 10 GB | 16 GB | 95% |
How to run Wan 2.2 TI2V 5B
Pick a runtime — copy & paste. Commands are pre-filled with this model’s repo.
GUI. Browse → download → chat. MLX on Apple Silicon.
LM Studio home →- 1
Open LM Studio
Go to the 🔍 Search tab.
- 2
Search for
Wan-AI/Wan2.2-TI2V-5B - 3
Download
Pick the FP16 quant — best balance of size vs. quality.
- 4
Chat
Hit ▶ Load Model and start chatting. Toggle 'Local Server' to expose an OpenAI-compatible API on :1234.
Community benchmarks
Real seconds-per-image reports from people running Wan 2.2 TI2V 5B on actual hardware.
No community runs yet for this model. Be the first to submit your numbers.
how much VRAM do I need to run Wan 2.2 TI2V 5B?
Wan 2.2 TI2V 5B requires 10 GB VRAM minimum with FP16 quantization. For full precision you need 16 GB.
which quant should I pick?
Q4_K_M is the best quality/VRAM balance — ~92% of FP16 quality at ~25% the footprint. Q8_0 is near-lossless if you have the headroom.
What GPU do I need to run Wan 2.2 TI2V 5B?
To run Wan 2.2 TI2V 5B, you need a GPU with at least 10 GB of VRAM. For optimal performance, a GPU with 16 GB or more is recommended.
Is Wan 2.2 TI2V 5B good for coding?
Wan 2.2 TI2V 5B is primarily designed for generating video content, not for coding tasks. It may not be suitable for code generation or programming assistance.
Wan 2.2 TI2V 5B vs Llama 3.1 8B?
Wan 2.2 TI2V 5B is a 5B parameter model focused on video generation, while Llama 3.1 8B is a larger language model with 8B parameters, better suited for text-based tasks.
Can I run Wan 2.2 TI2V 5B on a Mac?
Yes, you can run Wan 2.2 TI2V 5B on a Mac as long as your Mac has a compatible GPU with at least 10 GB of VRAM.
How much VRAM does Wan 2.2 TI2V 5B need?
Wan 2.2 TI2V 5B requires between 10.0 GB and 16.0 GB of VRAM, depending on the quantization level used.
Is Wan 2.2 TI2V 5B censored?
Wan 2.2 TI2V 5B is not inherently censored, but it may include content filters to prevent the generation of inappropriate content.
Is Wan 2.2 TI2V 5B commercial-use allowed?
Yes, Wan 2.2 TI2V 5B is licensed under Apache-2.0, which allows for commercial use without additional fees.
Wan 2.2 TI2V 5B context length?
The context length for Wan 2.2 TI2V 5B is currently unknown, as it is not specified in the model documentation.
Does Wan 2.2 TI2V 5B support function calling?
Wan 2.2 TI2V 5B is primarily designed for video generation and does not natively support function calling like some language models.
Wan 2.2 TI2V 5B quantization options?
Wan 2.2 TI2V 5B supports various quantization options, including 8-bit and 4-bit, to reduce VRAM usage and improve performance.
Can Wan 2.2 TI2V 5B run on CPU?
While Wan 2.2 TI2V 5B can technically run on a CPU, it will be significantly slower and less efficient compared to running on a GPU.
Wan 2.2 TI2V 5B fine-tuning?
Wan 2.2 TI2V 5B can be fine-tuned for specific tasks or datasets, but this process requires significant computational resources and expertise.
Wan 2.2 TI2V 5B system requirements?
To run Wan 2.2 TI2V 5B, you need a system with a GPU that has at least 10 GB of VRAM, 16 GB of RAM, and a modern CPU. A 24 GB GPU is recommended for optimal performance.
Wan 2.2 TI2V 5B performance benchmark?
Wan 2.2 TI2V 5B can generate 5-second 480p video clips on a single 24 GB GPU. Performance may vary based on the specific hardware and quantization level used.
Wan 2.2 TI2V 5B for RAG?
Wan 2.2 TI2V 5B is not specifically designed for Retrieval-Augmented Generation (RAG) tasks, which typically involve text retrieval and generation.
Wan 2.2 TI2V 5B for agents?
Wan 2.2 TI2V 5B is primarily designed for video generation and may not be suitable for creating conversational agents or chatbots.
Wan 2.2 TI2V 5B for coding vs general?
Wan 2.2 TI2V 5B is specialized for video generation and is not optimized for coding or general-purpose tasks.
Wan 2.2 TI2V 5B vs ChatGPT?
Wan 2.2 TI2V 5B is a video generation model, while ChatGPT is a large language model designed for text-based conversations and tasks.
Wan 2.2 TI2V 5B download size?
The download size of Wan 2.2 TI2V 5B depends on the quantization level. The full model is approximately 10 GB, but quantized versions can be smaller.
Best quant for Wan 2.2 TI2V 5B?
The best quantization level for Wan 2.2 TI2V 5B depends on your hardware. 8-bit quantization offers a good balance between performance and VRAM usage, while 4-bit can further reduce VRAM requirements.