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,...
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
10codeformer-v0.1.0.pth
Not resolvedOptionalCheckpoint · Unknown
facetest-000007.safetensors
Not resolvedOptionalLoRA · Unknown
GFPGANv1.4.pth
Not resolvedOptionalCheckpoint · Unknown
Checkpoint · 529 MB · ONNX · FP32 (unverified) · Unknown
low_noise_model.safetensors
Not resolvedLoRA · Unknown
SmoothMixStyle_Low.safetensors
Not resolvedOptionalLoRA · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
Repository matchedText encoder · Unknown
wan_2.1_vae.safetensors
Repository matchedVAE · Unknown
LoRA · 293 MB · SAFETENSORS · Unknown
Diffusion model · 13.3 GB · SAFETENSORS · FP16 + FP32 + FP8 (tensor header) · Unknown
Node packs
10comfyui_layerstyle
FoundNode pack · Registry
Node pack · Registry
Node pack · Registry
Fast Groups Bypasser (rgthree)
Not resolvedNode pack · Unknown
ReActorFaceBoost
FoundOptionalNode pack · Unknown
ReActorFaceSwap
FoundOptionalNode pack · Unknown
RES4LYF
FoundNode pack · Registry
rgthree-comfy
FoundNode pack · Registry
Node pack · GitHub · TFL-TFL/ComfyUI_Text_Translation
was-ns
Not resolvedOptionalNode 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
Sources
1 sourceWorkflow 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
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Model artifacts
2 artifactsSource excerpts
3 excerpts
Source excerpts
3 excerptsSource 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
