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Wan 2.2 Detailer — v1.0

This is a pretty simple workflow. Wan 2.2 T2V low noise model makes an awesome post detailer , since it's designed to detail the composition of the high noise model. Just drop your image into the load image node,...

TaskMultiCapabilitiesImage to image · UpscalingFamilyWanVersionRelease 2754214 — Wan 2.2 Detailer - DirkDigitaller.jsonEstimated VRAMNot yet characterizedUnratedgrade

Runtime profile

Access
External workflow
Status
Listed
Version
Wan 2.2 Detailer - DirkDigitaller.json
Source
Civitai
Updated
Nov 3, 2026

Source description

No release description captured.

What you need

Model files
13.3 GiB known subtotal

Remaining hardware or download-size estimates are not available yet.

Requirements

Models

10
  • codeformer-v0.1.0.pth

    Not resolvedOptional

    Checkpoint · Unknown

  • facetest-000007.safetensors

    Not resolvedOptional

    LoRA · Unknown

  • GFPGANv1.4.pth

    Not resolvedOptional

    Checkpoint · Unknown

  • inswapper_128.onnx

    FoundOptional

    Checkpoint · 529 MB · ONNX · FP32 (unverified) · Unknown

  • low_noise_model.safetensors

    Not resolved

    LoRA · Unknown

  • SmoothMixStyle_Low.safetensors

    Not resolvedOptional

    LoRA · Unknown

  • umt5_xxl_fp8_e4m3fn_scaled.safetensors

    Repository matched

    Text encoder · Unknown

  • wan_2.1_vae.safetensors

    Repository matched

    VAE · Unknown

  • LoRA · 293 MB · SAFETENSORS · Unknown

  • Diffusion model · 13.3 GB · SAFETENSORS · FP16 + FP32 + FP8 (tensor header) · Unknown

Node packs

10
  • comfyui_layerstyle

    Found

    Node pack · Registry

  • comfyui-kjnodes

    FoundOptional

    Node pack · Registry

  • comfyui-rmbg

    FoundOptional

    Node pack · Registry

  • Fast Groups Bypasser (rgthree)

    Not resolved

    Node pack · Unknown

  • ReActorFaceBoost

    FoundOptional

    Node pack · Unknown

  • ReActorFaceSwap

    FoundOptional

    Node pack · Unknown

  • RES4LYF

    Found

    Node pack · Registry

  • rgthree-comfy

    Found

    Node pack · Registry

  • Node pack · GitHub · TFL-TFL/ComfyUI_Text_Translation

  • was-ns

    Not resolvedOptional

    Node pack · Registry

AI-generated commentary

AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.

Purpose

  • Wan 2.2 Detailer is for detailing an image’s composition: provide an image and a composition prompt, and it uses the Wan 2.2 T2V low-noise model to produce a more detailed image.

Flow

  • Load the image in the Load Image node and describe its composition in the Prompt box; you can also prepare the prompt with an LLM.

Inputs and outputs

  • The workflow includes directions for steering the generated image toward greater consistency with, or more divergence from, the original.

  • When ReActor FaceSwap is active, you can optionally provide a clear reference image focused on your subject in the FaceSwap Image node.

Setup

  • This workflow is based on Wan Video 2.2 T2V-A14B.

Dependencies

  • Model files associated with the workflow include wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors, umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, inswapper_128.onnx, and wan_masterpieces_v2.safetensors.

  • Node-pack names associated with the workflow include comfyui_layerstyle, comfyui-kjnodes, comfyui-rmbg, RES4LYF, rgthree-comfy, TFL-TFL/ComfyUI_Text_Translation, ReActorFaceSwap, and ReActorFaceBoost.

Configuration

  • Wan NAG can highlight the prompt elements you want Wan to focus on.

  • To favor consistency, set ClownsharkKSampler eta to 0.1; eta 2 favors divergence. More steps can increase divergence and risk overcooking, while fewer steps favor consistency but risk undercooking.

    Suggestion · not verified

Cautions

  • If the original image contains multiple people, ReActor FaceSwap may select the wrong face; the workflow instructions suggest activating FaceSwap Image in that case.

  • A license is not specified for this workflow, so check the creator’s terms before using it.

    Suggestion

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Sources

1 source
CivitaiPrimaryVersion 2754214
civitai.com/models/2449454

Verified Nov 3

Workflow instructions

Author notes from Wan 2.2 Detailer - DirkDigitaller.json · selected release

### Wan NAG - will highlight the most important prompt elements for the Wan model to focus on. Not necessary, but very useful. ### Reactor FaceSwap - will attempt to give character consistency to the finished image. This works in one of 2 ways; you can either use the original reference image and the workflow will attempt to crop the face from the original image, or you can upload a clear image with the character desired for faceswap into the 'FaceSwap Image' node. If the original image has multiple people, there is a chance the workflow will grab the wrong face - in this case, you should activate the 'FaceSwap Image' node. ### FaceSwap Image - see above. Only activate if Reactor FaceSwap is activated and you want to upload an image for faceswap. If this node is not active but Reactor FaceSwap is active, Reactor will attempt to use the Qwen generated image for faceswap. If you upload to this node, make sure the image uploaded has a clear focus on your subject, preferrably with no other faces in frame.

Author notes from Wan 2.2 Detailer - DirkDigitaller.json · selected release

### [Wan 2.2 T2V Low Noise FP8 Scaled](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors?download=true) ### [Wan 2.1 VAE](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors) ### [Wan 2.2 CLIP Text Encoder](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors) ### [Wan 2.2 lightx2v 4-Step LoRA](https://huggingface.co/lightx2v/Wan2.2-Lightning/resolve/main/Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V2.0/low_noise_model.safetensors?download=true) ### Recommended Custom Node - Quick Connections

Author notes from Wan 2.2 Detailer - DirkDigitaller.json · selected release

## Multi Model T2I Workflow (Qwen ImageEdit 2511 + Wan 2.2 T2V) ### [ DirkDigitaller @ CivitAI](https://civitai.com/user/DirkDigitaller)

Author notes from Wan 2.2 Detailer - DirkDigitaller.json · selected release

## Ways To Modify Consistency/Divergence: ### Reactor FaceSwap - will attempt to create facial consistency between images. This can be turned on/off from 'Options'. The settings of the Reactor FaceSwap nodes can increase facial consistency but may also reduce emotional expression consistency. Try adjusting 'face_restore_visibility' (0.1 to 1) and 'codeformer_weight' (0.1 to 1) to get the balance between facial consistency and emotional expression consistency. ### ClownsharkKSampler -> eta - this parameter changes the noise added during the sampling process. Range from 0.1 up to 2, with 0.1 having high consistency (use for detailing) and 2 having high divergence (use for creative styling). ### ClownsharkKSampler -> steps - adjusting the total steps in this node will also impact the amount of work Wan does - higher step count will create higher divergence but increase potential for over-cooking, lower step count will create higher consistency but increase potential for undercooking.

Download files

Model artifacts

2 artifacts

wan22Detailer_v10.zip

zip · 5.92 KB · SHA-256 3db9425fd248…8fc3 · Civitai

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Wan 2.2 Detailer - DirkDigitaller.json

json · 37.1 KB · SHA-256 d5ff16d56f04…bff3

Download file

Source excerpts

3 excerpts

Source context: 427 downloads · Type Workflows · Base model Wan Video 2.2 T2V-A14B

Source context: 399 downloads · Type Workflows · Base model Wan Video 2.2 T2V-A14B

Source context: 327 downloads · Type Workflows · Base model Wan Video 2.2 T2V-A14B