<h3 id="wan2.2-i2v-svi-(gguf)-for-low-vram-(12gb)">Wan2.2-I2V-SVI (GGUF) for Low VRAM (12GB)</h3>Stable Video Infinity (SVI2.0Pro) Simple WorkflowGenerate smooth extended video from a single imagetested on :ComfyUI version: 0.16.0, Python: 3.12.12, pytorch : 2.10.0+cu130<ul><li>Geforce RTX5060Ti16GB, 64GB System memory</li><li>Geforce RTX2060 12GB, 32GB System memory</li></ul>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.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bada7dc4-60b2-4fc1-a389-ed32f5f3d7bf/original=true/bada7dc4-60b2-4fc1-a389-ed32f5f3d7bf.jpeg" /><hr />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<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4bed815f-79fb-473c-9edd-f20dc0af25d1/original=true/4bed815f-79fb-473c-9edd-f20dc0af25d1.jpeg" /><hr />If you need a separate Lora, use the Power Lora Loader (rgthree) in each subgraph.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ed8ca1cd-6f5f-4450-a352-009591c8beed/original=true/ed8ca1cd-6f5f-4450-a352-009591c8beed.jpeg" /><hr /><ul><li>Option for low vram</li></ul>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.<a target="_blank" rel="ugc" href="https://github.com/IAMCCS/IAMCCS-nodes#-version-131--wan-svi-pro-motion-control">https://github.com/IAMCCS/IAMCCS-nodes#-version-131--wan-svi-pro-motion-control</a><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5b595004-0f42-43ae-a996-ed70743c1c3d/original=true/5b595004-0f42-43ae-a996-ed70743c1c3d.jpeg" /><hr />If you need Video Extend 4 or later, please copy the module and extend it with the following connection:Copy and paste<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/469cc3c4-8d68-48b2-8182-9700dee74181/original=true/469cc3c4-8d68-48b2-8182-9700dee74181.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bf6f9506-7b82-414c-b5af-a2939de890f4/original=true/bf6f9506-7b82-414c-b5af-a2939de890f4.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/14b8b4c9-42cc-4112-87dd-b85e885752e4/original=true/14b8b4c9-42cc-4112-87dd-b85e885752e4.jpeg" />Be sure to connect Set_image_out to the Extended_image of the final module.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bef019cf-7c27-4fc4-a072-2ae7c972aa42/original=true/bef019cf-7c27-4fc4-a072-2ae7c972aa42.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2764078c-2c80-4b8a-a0f5-b03058d7473a/original=true/2764078c-2c80-4b8a-a0f5-b03058d7473a.jpeg" />Or change the length value from 81 to 121 or 161 to extend the time.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/324feaf6-73a1-4648-9aae-c7f0e2eefaef/original=true/324feaf6-73a1-4648-9aae-c7f0e2eefaef.jpeg" /><hr />Video Combine 🎥🅥🅗🅢's save_outputs can be saved individually<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0150ff2b-7b50-477f-9c6d-d23e2cbe15ea/original=true/0150ff2b-7b50-477f-9c6d-d23e2cbe15ea.jpeg" /><hr />Image Latency Switch<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ef9c2d96-6e1d-437f-b955-c3e69028cca3/original=true/ef9c2d96-6e1d-437f-b955-c3e69028cca3.jpeg" />ImageScaleToMaxDimension (false) : DefaultsNote: If you use an image smaller than the default size, it will take longer to generate due to the upscaling.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/34b37b55-0449-4db3-a4cf-01df8f8af3d8/original=true/34b37b55-0449-4db3-a4cf-01df8f8af3d8.jpeg" /><hr /><ul><li>Main Models: Select your SVI GGUF model</li></ul><a target="_blank" rel="ugc" href="https://civarchive.com/models/2053259">WAN 2.2 Enhanced NSFW | SVI</a>The GGUF model for this workflow is- <a target="_blank" rel="ugc" href="https://civarchive.com/models/2053259?modelVersionId=2625965">wan22EnhancedNSFWSVICamera_nolightninSVICfQ4KMH.gguf</a>- <a target="_blank" rel="ugc" href="https://civarchive.com/models/2053259?modelVersionId=2625966">wan22EnhancedNSFWSVICamera_nolightninSVICfQ4KML.gguf</a><ul><li>VAE</li></ul>- <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors?download=true">wan_2.1_vae</a><ul><li>Text Encoders</li></ul>- <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors">umt5_xxl_fp8 text_encoder</a><ul><li>Stable Video Infinity Lora</li></ul>-<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_HIGH_lora_rank_128_fp16.safetensors">SVI_v2_PRO_Wan2.2-I2V-A14B_HIGH</a>-<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_LOW_lora_rank_128_fp16.safetensors">SVI_v2_PRO_Wan2.2-I2V-A14B_LOW</a><ul><li>Lightning LoRA</li></ul><a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors?download=true">lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors</a> (Weight:3.0)<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors?download=true">lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors</a> (Weight:1.5)<hr /><ul><li>Use Custom Node</li></ul><a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-KJNodes">https://github.com/kijai/ComfyUI-KJNodes</a><a target="_blank" rel="ugc" href="https://github.com/city96/ComfyUI-GGUF">https://github.com/city96/ComfyUI-GGUF</a><a target="_blank" rel="ugc" href="https://github.com/rgthree/rgthree-comfy">https://github.com/rgthree/rgthree-comfy</a><a target="_blank" rel="ugc" href="https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite">https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite</a><a target="_blank" rel="ugc" href="https://github.com/IAMCCS/IAMCCS-nodes">https://github.com/IAMCCS/IAMCCS-nodes</a><hr />Separate Frame Interpolation + FlashVSR Ultra-Fast workflow included<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f19f483a-e565-48b1-a4bc-a44344fd8a98/original=true/f19f483a-e565-48b1-a4bc-a44344fd8a98.jpeg" /><ul><li>Use Custom Node</li></ul><a target="_blank" rel="ugc" href="https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite">https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite</a><a target="_blank" rel="ugc" href="https://github.com/GACLove/ComfyUI-VFI">https://github.com/GACLove/ComfyUI-VFI</a><ul><li>scale: Processing scale factor (default: 1.0)<ul><li>Lower values (0.25-0.5) for faster processing</li><li>Higher values (1.0-4.0) for better quality</li><li></li></ul></li></ul><a target="_blank" rel="ugc" href="https://github.com/lihaoyun6/ComfyUI-FlashVSR_Ultra_Fast#comfyui-flashvsr_ultra_fast">https://github.com/lihaoyun6/ComfyUI-FlashVSR_Ultra_Fast#comfyui-flashvsr_ultra_fast</a>📢: For GeForce RTX 20xx (Turing) or older GPU, please install triton&lt;3.3.0:# Windows<pre><code>python -m pip install -U triton-windows&lt;3.3.0</code></pre># Linux<pre><code>python -m pip install -U triton&lt;3.3.0</code></pre><hr />Model file order: Your folder hierarchy may be different, but the high-low order will be like this:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d42ebfa8-ddad-4601-b936-553835668f77/original=true/d42ebfa8-ddad-4601-b936-553835668f77.jpeg" />

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