Unlock Consistent Anime-Style Characters with AI-Driven Workflow
1. Workflow Overview

This workflow is designed to test and validate character consistency in AI-generated images, ideal for social media posts or comic character design. Key features:
Generates anime-style characters using SDXL base model.
Dynamically combines traits (e.g., clothing, hairstyle) via PromptGenerator.
Enhances details with SDXL Detail LoRA (e.g., facial textures).
Supports multi-prompt testing to ensure consistency across variations.
2. Core Models
Model Name | Function |
---|---|
Huimeng YuanYu SDXL | Anime-fantasy base model (for posters/comics). |
SDXL Detail LoRA | Enhances fine details (e.g., fabric folds). |
sdxl_vae.safetensors | Improves color and decoding quality. |
3. Key Nodes & Installation
Node Name | Function | Installation |
---|---|---|
PromptGenerator | Generates dynamic character prompts. | Requires |
SDXLPromptStyler | Standardizes prompt format (positive/negative). | Via ComfyUI Manager. |
CLIPSetLastLayer | Adjusts CLIP layers for text influence. | Built-in. |
KSampler (Efficient) | Optimized sampler (supports DPM++ 2M). | Built-in. |
Dependencies:
Download
Huimeng YuanYu SDXL
andSDXL Detail LoRA
tomodels/
andloras/
.Install
pysssss
extension for dynamic prompt generation.
4. Workflow Structure
Group 1: Model Loading
Nodes:
CheckpointLoader
→VAELoader
→LoraLoader
→CLIPSetLastLayer
Output: Loaded models, VAE, LoRA, and CLIP config.
Group 2: Dynamic Prompt Generation
Nodes:
PromptGenerator
→ShowText
(preview prompts)Output: Combined traits (e.g., "burly male teacher in denim shorts").
Group 3: Sampling
Nodes:
CLIPTextEncode
→KSampler
→EmptyLatentImage
Output: Generated latent image.
Group 4: Output
Nodes:
VAEDecode
→SaveImage
Output: Final PNG (default 1024x1024).
5. Inputs & Outputs
Inputs:
Required: Character traits (e.g., "ponytail hair", "white crop top").
Optional: Seed (e.g.,
392280905866782
), steps (45), CFG scale (6.5).
Output: A character image matching the description, with multi-variant testing support.
6. Notes
Consistency Tips:
Fix the seed value for reproducible results.
Set
CLIPSetLastLayer
to-2
for finer control.
Performance:
Reduce resolution to 768x768 if VRAM is limited.
Troubleshooting:
Prompt conflicts: Avoid opposing traits (e.g., "smiling" + "angry").
LoRA issues: Verify model path and strength (default 1.0).