Wan2.2-I2V-SVI (SVI2.0Pro) GGUF Simple Workflow

Wan2.2-I2V-SVI (GGUF) for Low VRAM (12GB)

Stable Video Infinity (SVI2.0Pro) Simple Workflow

Generate smooth extended video from a single image

tested on :ComfyUI version: 0.16.0, Python: 3.12.12, pytorch : 2.10.0+cu130

• Geforce RTX5060Ti16GB, 64GB System memory

• Geforce RTX2060 12GB, 32GB System memory

For older GPUs such as GeForce RTX 20xx, it is more stable and faster to generate the image at a smaller resolution such as 720 pixels, and then upscale or frame interpolate it later.

At 81 frames, extended videos up to 20 seconds long can be generated.

---

The default setting is 10 seconds of footage (5s + 5s). If necessary, use Video Extend to extend the footage.

Do not turn off BaseSampling 0

---

If you need a separate Lora, use the Power Lora Loader (rgthree) in each subgraph.

---

• Option for low vram

VRAM profiles: normal / chunked / per-frame loop / CPU offload for memory-constrained systems.

For more information about WAN SVI Pro Motion Control, please see below.

https://github.com/IAMCCS/IAMCCS-nodes#-version-131--wan-svi-pro-motion-control

---

If you need Video Extend 4 or later, please copy the module and extend it with the following connection:

Copy and paste

Be sure to connect Set_image_out to the Extended_image of the final module.

Or change the length value from 81 to 121 or 161 to extend the time.

---

Video Combine 🎥🅥🅗🅢's save_outputs can be saved individually

---

Image Latency Switch

ImageScaleToMaxDimension (false) : Defaults

Note: If you use an image smaller than the default size, it will take longer to generate due to the upscaling.

---

• Main Models: Select your SVI GGUF model

WAN 2.2 Enhanced NSFW | SVI

The GGUF model for this workflow is

- wan22EnhancedNSFWSVICamera_nolightninSVICfQ4KMH.gguf

- wan22EnhancedNSFWSVICamera_nolightninSVICfQ4KML.gguf

• VAE

- wan_2.1_vae

• Text Encoders

- umt5_xxl_fp8 text_encoder

• Stable Video Infinity Lora

-SVI_v2_PRO_Wan2.2-I2V-A14B_HIGH

-SVI_v2_PRO_Wan2.2-I2V-A14B_LOW

• Lightning LoRA

lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors (Weight:3.0)

lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors (Weight:1.5)

---

• Use Custom Node

https://github.com/kijai/ComfyUI-KJNodes

https://github.com/city96/ComfyUI-GGUF

https://github.com/rgthree/rgthree-comfy

https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite

https://github.com/IAMCCS/IAMCCS-nodes

---

Separate Frame Interpolation + FlashVSR Ultra-Fast workflow included

• Use Custom Node

https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite

https://github.com/GACLove/ComfyUI-VFI

• scale: Processing scale factor (default: 1.0)

  • Lower values (0.25-0.5) for faster processing

  • Higher values (1.0-4.0) for better quality

https://github.com/lihaoyun6/ComfyUI-FlashVSR_Ultra_Fast#comfyui-flashvsr_ultra_fast

📢: For GeForce RTX 20xx (Turing) or older GPU, please install triton<3.3.0:

# Windows

python -m pip install -U triton-windows<3.3.0

# Linux

python -m pip install -U triton<3.3.0

---

Model file order: Your folder hierarchy may be different, but the high-low order will be like this: