Unlock Dark-Style Image Generation with AI-Powered Hybrid Workflow
1. Workflow Overview

This is a dark-style image generation + auto-captioning hybrid workflow, featuring:
Automatic image captioning via
Florence-2-large
modelDark-style image generation using custom
@迁士-F.1
ancient-style modelSupports both Text-to-Image and Image-to-Image modes
2. Core Models
Model Name | Function | Source/Installation |
---|---|---|
@迁士-F.1 Human Model | Ancient dark-style generation | Manual |
Florence-2-large | Image-to-caption generation | Auto-loaded via |
LoRA: undefined_0003 | Style fine-tuning (weight=0.8) | Bundled in workflow |
3. Key Nodes
Node Name | Function | Installation |
---|---|---|
Florence2Run | Generates captions from images | Install |
SamplerCustomAdvanced | Custom sampler (Euler, etc.) | Built-in |
DualCLIPLoader | Loads dual CLIP models | Built-in |
4. Workflow Groups
Group 1: Captioning
Input: Uploaded image (via
LoadImage
)Output: Text caption (e.g., "A black-and-white photograph of...")
Group 2: Text-to-Image
Input: Trigger word (e.g., "dark wind") + generated caption
Output: 1024x1536 dark-style image
5. Inputs & Outputs
Input Parameters:
Required: Image (Caption mode) / Trigger word (Text mode)
Optional: Seed (random by default), Resolution (1024x1536)
Output:
Generated image (PNG with metadata)
Caption text (JSON format)
6. Notes
Must download
microsoft/Florence-2-large
(~5GB)VRAM: ≥12GB (FP8 precision required)
Troubleshooting: If
LoRA load failed
, checkundefined_0003.safetensors
path