Generate Breathtaking Asian-Style Female Portraits with AI
1. Workflow Overview

Purpose:
Generates high-quality oriental-style female portraits from a reference image, combining image analysis, auto-prompting, multi-stage sampling, and post-processing.Core Models:
Stable Diffusion (F.1_fp16): Base model for image generation.
AWPortrait CN_2.0 LoRA: Fine-tunes for Asian portrait aesthetics.
Florence-2-base: Analyzes reference images to generate detailed captions.
ControlNet (Implicit): Enhances details via tiled sampling (TTP toolkit).
2. Key Nodes
Critical Components:
Florence2Run
: Analyzes reference images and outputs captions.TTP_Image_Tile_Batch
: Splits images for high-frequency detail refinement.ImageColorMatch+
: Matches color tones to the reference.VAEDecodeTiled
: Decodes latent images in tiles to save VRAM.
Dependencies:
Plugins:
comfyui-florence2
(for Florence-2 integration).comfyui_ttp_toolset
(tiled processing).
Models:
Download
Florence-2-base
from HuggingFace.LoRAs:
AWPortrait CN_2.0
andXLabs F.1 Realism LoRA_V1
.
3. Workflow Structure
Groups:
Reference Analysis:
Input: Reference image.
Output: Auto-generated prompts via Florence-2.
Primary Sampling:
Input: Prompts, base model, LoRAs.
Output: Initial latent image.
TTP Upscaling:
Input: Tiled image, high/low-frequency sigma splits.
Output: High-res image with enhanced details.
Color Adjustment:
Input: Generated image + reference.
Output: Final color-matched portrait.
4. Inputs & Outputs
Inputs:
Reference image (e.g.,
output(1).png
).Optional manual prompts.
Resolution (default 1024x1024, supports 9:16 portrait).
Seed (e.g.,
459202764244119
).
Output:
Final portrait (via
PreviewImage
node).
5. Tips & Warnings
VRAM: ≥12GB GPU recommended; tiling reduces memory usage.
Installation: Use ComfyUI Manager for
Florence-2
andTTP Toolset
.Debugging:
Missing nodes? Check
comfyui-layerstyle
installation.Color mismatch? Adjust
LAB
inImageColorMatch+
.