Transform Your Photos into Breathtaking Oil Paintings with FLUX Model System
1. Workflow Overview
This is a Rembrandt-style portrait repainting workflow based on FLUX model system, featuring:
Transforms photos into hyper-realistic oil paintings
Facial detail preservation (PULID) + pose control (Openpose ControlNet)
Auto 4x upscaling (Anime6B model) and resizing
2. Core Models
Model | Function | Source |
|---|---|---|
Base Algorithm_F.1 | Core UNet model | Built-in |
FLUX-ControlNet-Union-Pro | Pose control | Manual download required |
PULID_Flux_v0.9.1 | Facial identity preservation | Separate download |
Oil Painting LoRA | Rembrandt style transfer | Built-in weights |
3. Key Nodes
Node | Purpose | Installation |
|---|---|---|
| Facial feature fusion | Requires |
| Pose guidance | Needs |
| Smart resizing | Built-in |
| Super-resolution | Via |
4. Workflow Stages
Phase 1: Preprocessing
Input: Portrait photo (via
LoadImage)Processing:
Standardize size (1280xauto)
Openpose extraction
PULID facial encoding
Phase 2: Painting Generation
Key Parameters:
Sampler: Euler
Steps: 25
Prompt: "Masterpiece, oil painting, Rembrandt lighting"
ControlNet strength: 0.75
Phase 3: Post-Processing
4x upscale → 50% resize (quality preservation) → Final output
5. Inputs & Outputs
Input Parameters:
Image: Portrait ratio recommended (e.g. 968x1280)
Prompt: Edit art style in
CR TextnodeSeed: Default
702652529958285
Output:
PNG with metadata
6. Notes
VRAM: 16GB+ GPU recommended (for 1280px processing)
Critical Adjustments:
Style intensity: Modify
油画，著作_001LoRA weight (default 1.2)Facial fidelity: Adjust
identity_strengthinApplyPulidFlux(default 0.85)
Troubleshooting:
Face distortion: Reduce ControlNet strength or increase PULID weight
Weak style: Boost LoRA weight to 1.5