From Photos to Masterpieces: Automating Line Art Conversion with AI
π οΈ Workflow Overview

Purpose and Function: This workflow automatically converts images to line art style using ControlNet, LoRA models, and image refinement techniques. It processes images into a clean line art output and enhances facial details.
Core Features:
Line Art Extraction: Uses ControlNet + line art models to convert the image.
Facial Refinement: Enhances facial details using FaceDetailer.
Image Preview & Save: Displays and saves the final line art image.
π₯ Core Models
Lineart_v1.1
Function: Main model responsible for line art transformation.
Installation:
Download the
.safetensors
model and place it inmodels/Stable-diffusion
.
ControlNet
Model:
control_v11p_sd15_lineart
Function: Guides the line art generation.
Installation:
Place models in
models/ControlNet
.
LoRA model: lineart_1.0
Function: Enhances line art quality.
Installation:
Place the model in
models/Lora
.
βοΈ Nodes Explanation
LoadImage: Upload image.
ImageResize+: Resize the image.
LineArtPreprocessor: Extract line art.
FaceDetailer: Enhance facial details.
PreviewImage & SaveImage: Display and save the output.
π₯ Inputs & Outputs
β Inputs:
Uploaded image.
ControlNet and LoRA models.
Face refinement settings.
β Outputs:
Final line art image.
Enhanced facial details.
β οΈ Considerations
Hardware Requirements: Use GPU with β₯8GB VRAM.
Compatibility: Ensure model and ComfyUI versions match.
Resolution: Keep image size at 1024x1024 or lower for efficiency.