Consistent character poses workflow — v1.0
Finally, a Solution for Consistent Character Posing!
Runtime profile
- Access
- External workflow
- Status
- Listed
- Source
- Civitai
- Updated
- Sep 26, 2026
Source description
Finally, a Solution for Consistent Character Posing!
Simply input any character you want and the poses you want them to perform, and that's it.
The examples I gave aren't cherry picked. I've tested it like 30 times and they all give me exactly what I asked for.
While waiting for WAN 2.1 to release an image-to-image model with ControlNet support, my workflow is currently the best alternative for achieving consistent character poses .
Better and much faster than Flux Kontext.
On a A4000 gpu with 16GB VRAM, it takes around 40 to 50 seconds to generate 3 images .
Link for the fastest wan2.1 model that I'm using in my workflow: https://huggingface.co/QuantStack/Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-GGUF/tree/main
Disclaimer1 : I'm using a very optimized Wan2.1 vace model, if you look at the generation setting, I'm using only 4 steps and 1 cfg. If you want to use your own Wan2.1 vace model , increase those setting with whatever works best for your model. But I highly recommend downloading the one I linked because it's super fast!
Wan 2.1 vae : https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/vae
Disclaimer2: if you're getting triton/torch/cuda erros, bypass the torchcompileModelwanVideoV2 Node, then "update all" in comfy manager, then restart.
The clip model I'm using : https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors
Poses I used: https://civitai.com/models/22214/openposes-collection (and ofc use your own poses)
Now you can use just one reference image to create a LoRA for your character, or why even bother with a LoRA when you have this workflow?
Requirements
Models
3umt5_xxl_fp8_e4m3fn_scaled.safetensors
PossibleText encoder · Unknown
wan_2.1_vae.safetensors
PossibleVAE · Unknown
Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-Q5_K_M.gguf
PossibleCheckpoint · Unknown
Node packs
8- Found
Node pack · Registry
Node pack · Registry
- Found
Node pack · Registry
ComfyUI-GGUF
PossibleNode pack · Registry
Node pack · Registry
- Found
Node pack · Registry
Node pack · Registry
was-node-suite-comfyui
PossibleNode pack · Registry
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
Purpose
Use this workflow to create images of a character in poses you choose: provide a character and the poses to depict. Its listed base model is Wan Video 14B t2v.
Flow
The author says you can use poses from the Openposes Collection or your own.
Inputs and outputs
The page describes an example that produces three images.
Setup
Find Dingoo’s workflow on Civitai: https://civitai.com/models/1796490.
Dependencies
The workflow names these model files: umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, and Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-Q5_K_M.gguf.
The workflow names these ComfyUI node packs: comfyui-inspyrenet-rembg, comfyui-custom-scripts, comfyui_essentials, comfyui-videohelpersuite, comfyui-easy-use, and comfyui-kjnodes.
The workflow also names ComfyUI-GGUF and was-node-suite-comfyui; check which packages these names refer to before installing them.
Suggestion · not verified
Configuration
The author describes using Wan2.1 VACE with 4 steps and 1 cfg.
For another Wan2.1 VACE model, adjust the steps and cfg to what works for that model; the author says the settings may need to be increased.
Suggestion · not verified
Cautions
For Triton, torch, or CUDA errors, the author suggests bypassing the torchcompileModelwanVideoV2 node, choosing “update all” in Comfy Manager, then restarting.
Suggestion · not verified
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Sources
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Sources
1 sourceSource excerpts
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Source excerpts
1 excerptSource context: 4846 downloads · Type Workflows · Base model Wan Video 14B t2v
