| # WAN 2.2 Upscaling v1 |
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| **Model:** WAN 2.2 A14B LowNoise (GGUF Q4_K_M) |
| **Type:** Upscaling (Video-to-Video) |
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| Per-subject crop upscaling pipeline for WAN 2.2 video output. |
| Subjects and faces are detected automatically via SAM2 segmentation and Florence2 face detection, |
| then cropped, upscaled with pixel-based models, refined with WAN video-to-video, and composited back. |
| RIFE VFI is used for frame interpolation on the final output. |
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| ## Preview |
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| ## Requirements |
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| - **ComfyUI:** recent stable build |
| - **Model:** `wan2.2/Wan2.2-T2V-A14B-LowNoise-Q4_K_M.gguf` — [download](https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main) (place in `ComfyUI/models/unet/`) |
| - **VAE:** `wan/Wan2_1_VAE_bf16.safetensors` — [download](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors) (place in `ComfyUI/models/VAE/`) |
| - **Text encoder:** `umt5-xxl-enc-bf16.safetensors` — [download](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders) (place in `ComfyUI/models/text_encoders/`) |
| - **LoRA (speed):** `Wan/lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank64_bf16.safetensors` — [download](https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v) |
| - **LoRA (quality, example):** `Wan/wan2.2_fun-reward/Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors` — reward LoRA for quality improvement; replace with any WAN 14B compatible LoRA or remove |
| - **SAM2 model:** `sam2.1_hiera_base_plus.safetensors` — auto-downloaded by `DownloadAndLoadSAM2Model` |
| - **RIFE model:** `rife49.pth` — auto-downloaded by `RIFE VFI` |
| - **Upscale models** (place in `ComfyUI/models/upscale_models/`): |
| - `4x-ClearRealityV1.pth` — [download](https://openmodeldb.info/models/4x-ClearRealityV1) — fast photo-realistic upscaler |
| - `phhofm/1xDeJPG_realplksr_otf.pth` — [download](https://openmodeldb.info/models/1x-DeJPG-realplksr-otf) — JPEG artifact remover / enhancer |
| - `1xSkinContrast-HighAlternative-SuperUltraCompact.pth` — [download](https://openmodeldb.info/models/1x-SkinContrast-HighAlternative-SuperUltraCompact) — skin detail enhancer |
| - `DF2K_JPEG.pth` — [download](https://openmodeldb.info/models/4x-realsr-df2k-jpeg) — slower but higher quality upscaler |
| - **Custom nodes:** |
| - [ComfyUI-WanVideoWrapper](https://github.com/kijai/ComfyUI-WanVideoWrapper) |
| - [ComfyUI-VideoHelperSuite](https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite) |
| - [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes) |
| - [ComfyUI-Florence2](https://github.com/kijai/ComfyUI-Florence2) |
| - [ComfyUI-segment-anything-2](https://github.com/kijai/ComfyUI-segment-anything-2) |
| - [ComfyUI-Frame-Interpolation](https://github.com/Fannovel16/ComfyUI-Frame-Interpolation) |
| - [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) |
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| ## Notes |
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| - **Face index:** After running Florence2, each detected face gets a numbered ID visible above the bounding box in the preview. Set the `Index` field in the face crop node to the ID of the face you want to upscale. |
| - **crop_size_mult:** Controls the crop area around the face. Use a higher value for faces that are large on screen, lower for small faces. Follow the preview output to calibrate. |
| - **VRAM:** For 1080p output on under 16 GB VRAM, reduce `context_frames` to 33 or 41 in `WanVideoContextOptions`. |
| - **WAN denoise strength:** Upscale passes use 0.3 denoise — low enough to preserve structure, high enough for texture refinement. |
| - Input resolution: 832x480, 81 frames. The pipeline outputs at a higher resolution after upscaling. |
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| ## Changelog |
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| - `2025-10-13` — Initial upload |
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| ## Support |
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| Producing and sharing this kind of open-source work requires renting cloud GPUs, which gets expensive quickly. If you find it useful and would like me to keep contributing, your support is very much appreciated: |
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| [](https://ko-fi.com/chetyart) [](https://liberapay.com/chetyart/donate) |
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