Wan 2.2 Image to Video (I2V & FLF2V)
Description
We will create a short 20s video using I2V and FLF2V techniques.
- umt5-xxl-encoder-Q8_0.gguf (6.04 GB)
- high_noise_model.safetensors (1.23GB) ⇾ rename to
Wan2.2-I2V-A14B-lora-high_noise.safetensors - low_noise_model.safetensors (1.23GB) ⇾ rename to
Wan2.2-I2V-A14B-lora-low_noise.safetensors - Wan2.2-I2V-A14B-HighNoise-Q8_0.gguf (15.4 GB)
- Wan2.2-I2V-A14B-LowNoise-Q8_0.gguf (15.4 GB)
- wan2.1_vae.safetensors (254 MB)
📂 ComfyUI/
├── 📂 models/
│ ├── 📂 clip/
│ │ └── umt5-xxl-encoder-Q8_0.gguf
│ ├── 📂 loras/
│ │ ├── Wan2.2-I2V-A14B-lora-high_noise.safetensors
│ │ └── Wan2.2-I2V-A14B-lora-low_noise.safetensors
│ ├── 📂 unet/
│ │ ├── Wan2.2-I2V-A14B-HighNoise-Q8_0.gguf
│ │ └── Wan2.2-I2V-A14B-LowNoise-Q8_0.gguf
│ └── 📂 vae/
│ └── wan2.1_vae.safetensors
For I2V workflow use the WanImageToVideo node.
For FLF2V workflow use the WanFirstFrameLastFrame node.
Workflows
| Prompt | Initial Image | Workflow |
|---|---|---|
| The luxury convertible car drives through a tropical mountainous valley during sunset. The car first speeds off down the road and the camera follows close behind. | ![]() |
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WGET Commands
If you are using Runpod, or a similar hosted GPU service, then you can access your running pod/instance using a terminal.
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Wait for files to download fully before running your workflows.


















