AI Portraits Redefined: Stable Diffusion Meets LoRA for Breathtaking Effects
1. Workflow Overview

This workflow is designed for portrait photography, combining Stable Diffusion with a LoRA (人像光影粒子调节器_L1.06) to generate high-quality portraits featuring artistic lighting and particle effects. It supports both online (default) and local execution modes.
2. Core Models
Main Model:
高级质感人像-FLUX_v1.0
(Download)Function: Base image generation with enhanced portrait details.
LoRA Model:
人像光影粒子调节器_L1.06
(Download)Function: Adds dynamic light/shadow and particle effects (e.g., hair highlights, bokeh).
3. Key Nodes
CheckpointLoaderSimple
Role: Loads the main model (
高级质感人像-FLUX_v1.0
).Installation: Built-in node.
LoraLoader
Role: Applies the LoRA with default strength
0.8
.
CLIPTextEncode
Role: Encodes prompts (e.g., "Asian woman in forest with glowing particles").
KSampler
Role: Controls sampling (e.g.,
euler
,steps=30
,cfg=1
).
VAEDecode
Role: Decodes latent images into final output.
RandomNoise
Role: Generates initial noise for randomness.
4. Workflow Structure (Groups)
Online Group (Default):
Full pipeline: Model → Prompt → Sampling → Decoding.
Input: Text prompts, resolution (
768x1024
).Output: Portrait with light/particle effects.
Local Group (Manual Activation):
Similar structure but may include local optimizations.
5. Inputs & Outputs
Inputs:
Positive prompt (e.g., "Sunlit Asian woman with ethereal particles").
Resolution:
768x1024
, seed (random/fixed).
Output:
High-resolution portrait (PNG/JPG) with artistic effects.
6. Notes
Model Dependencies:
Download models and place them in
ComfyUI/models
.
Performance:
GPU ≥8GB VRAM recommended. Use
euler
for speed/quality balance.
Troubleshooting:
If prompts fail, check
CLIPTextEncode
connections.Reduce LoRA weight (e.g.,
0.5
) if effects are too strong.