Unlock Pro-Level Game Character Design with AI-Powered Workflow
1. Workflow Overview

This workflow, "Game Design Focus: Draft Control + Style Transfer + WebUI Restoration", is optimized for game character design, featuring:
Sketch Control: Uses
ControlNet
(xinsir_controlnet_tile_sdxl
anddiffusers_xl_depth_mid
) for precise structure.Style Transfer: Applies
IPAdapter
to transfer reference styles.SDXL Enhancement: Leverages Jianzhen SDXL model with LoRAs (e.g.,
Wheelchair Fashion
).Upscaling: Combines
UltimateSDUpscale
andSwinIR_4x
for HD output.
Core Models:
Jianzhen SDXL Wheelchair: Base model (realistic style).
IPAdapter-MoE: Multi-style fusion adapter.
ControlNet:
xinsir_controlnet_tile_sdxl
(sketch),diffusers_xl_depth_mid
(depth).
2. Key Nodes
IPAdapterUnifiedLoader (Node 564)
Function: Loads
IPAdapter
for multi-style fusion (e.g.,PLUS-high strength
).Install: Via
ComfyUI Manager
(ComfyUI_IPAdapter_plus
).
ControlNetApplyAdvanced (Nodes 427/430)
Function: Applies sketch/depth control (weights: sketch
0.25
, depth0.8
).Dependency:
comfyui_controlnet_aux
package.
UltimateSDUpscale (Node 633)
Function: Tile-based upscaling with
SwinIR_4x
(tile size512x512
).
BNK_CLIPTextEncodeAdvanced (Nodes 645/646)
Function: Advanced text encoder with negative prompts (e.g., "bad anatomy").
Jianzhen SDXL LoRA (Node 657)
Function: Enhances details (e.g., armor textures) via
Wheelchair Fashion
LoRA.
Special Dependencies:
Model Files:
Jianzhen SDXL Wheelchair.safetensors
: Download tomodels/checkpoints
.xinsir_controlnet_tile_sdxl
: Get from CivitAI, place inmodels/controlnet
.
3. Workflow Structure (Groups)
Group 1: Model Loading (Nodes 542/546/657)
Loads base model, VAE, and LoRAs.
Group 2: Draft Input & Preprocess (Nodes 655/560)
Input: Sketch or design draft (e.g.,
02.png
).Resize:
ImageResizeKJ
adjusts resolution to2048x2048
.
Group 3: ControlNet (Nodes 427/430/434/431)
Sketch:
LineartStandardPreprocessor
extracts clean lines.Depth:
MiDaS-DepthMapPreprocessor
adds 3D perception.
Group 4: IPAdapter Style Transfer (Nodes 564/621/565)
Input reference image (e.g.,
433383010-xxx.png
) for style fusion.
Group 5: Generate & Upscale (Nodes 618/633)
Generation:
KSampler //Inspire
withdpmpp_2m
(38 steps).Upscale:
UltimateSDUpscale
repairs details tile-by-tile.
Group 6: Output & Compare (Nodes 656/318)
Saves final image and provides slider comparison (original vs. generated).
4. Inputs & Outputs
Inputs:
Draft Image: Recommended
768x1280
(text-to-image) or2048x2048
(image-to-image).Prompts: Detailed descriptions (e.g., "futuristic soldier, grey armor").
Reference Image: For style transfer (clean background preferred).
Outputs:
HD character design (saved as PNG).
Slider comparison tool.
5. Notes
Optimization:
Reduce
UltimateSDUpscale
tile size (e.g.,384x384
) for low VRAM.Enable
--xformers
for faster inference.
Troubleshooting:
Sketch control fails → Check
ControlNet
model paths.Style deviation → Adjust
IPAdapter
weights (default0.1-0.8
).
Compatibility:
Requires
ComfyUI ≥ 0.3.30
andPyTorch 2.1+
.BNK_CLIPTextEncodeAdvanced
needsComfyUI_ADV_CLIP_emb
.