A specialized LoRA adapter for FLUX.2 Klein 9B designed for high-end, highly accurate character and face swapping. It excels at handling complex occlusions (like hands, veils, and foreground objects) and seamlessly matching the color grading and lighting of the target image.
Built specifically for practical, high-end portrait editing and commercial imaging workflows, ensuring photorealistic results without unwanted cartoon or stylized aesthetics.
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Powerful local hardware, ready for any complex project: 🚀 RTX 5090 | RTX Pro 6000 🛠️
🖼️ Examples
Case 1 — B&W Color Matching & Hand Occlusion
Character Source (Identity)
Target Body (Base Image)
→ Final Output
Source 1
Target 1
Result 1
Case 2 — Complex Occlusion Handling (Veil)
Character Source (Identity)
Target Body (Base Image)
→ Final Output
Source 2
Target 2
Result 2
Left: Character reference (identity). Middle: Target body/scene. Right: Final output — the character seamlessly integrated with perfect occlusion and lighting matching.
✨ What this LoRA does
Masterful Occlusion Handling: Unlike standard swap tools that break when hands, hair, or objects cover the face, this LoRA understands depth and seamlessly integrates the new identity behind occluding elements.
Perfect Lighting & Color Sync: Automatically adapts the source identity to the target's environment. If the target is a dramatic B&W portrait, the swapped face will perfectly match the B&W tones, contrast, and directional shadows.
Strictly High-End Realism: Finely tuned for practical photography and portrait retouching. It aggressively preserves realistic skin textures and structural anatomy while completely avoiding cartoonish or overly-smoothed AI artifacts.
Identity Preservation: Maintains the bone structure, distinct facial features, and unique characteristics of the source subject across diverse angles and expressions.
🎯 Why use it
Standard face-swap methods often fail in professional environments because they:
Paste faces over foreground objects (like hands or microphones).
Fail to adjust skin tone and lighting to match the background.
Introduce an uncanny, plastic, or illustrative look.
SmartCharcterswap LoRA solves this by acting as a highly intelligent compositor, making it an essential tool for commercial photography, automated AI photobooths, and advanced ComfyUI pipelines.
🔗 Complete Workflow
This LoRA is optimized for node-based workflows in ComfyUI, providing maximum stability and near-perfect accuracy after rigorous testing.
📋 Example Workflow
Example Workflow
Screenshot of the highly efficient ComfyUI workflow utilized for testing and executing the Smart Character Swap.
[!IMPORTANT]
💡 Get the Most Out of This LoRA
This LoRA performs at its absolute best when paired with a custom workflow tailored to your specific use case, combined with additional control LoRAs for precise, production-ready results.
A generic workflow will only scratch the surface of what this model can do. For commercial shoots, AI photobooths, or advanced portrait pipelines — a purpose-built workflow makes all the difference.
📩 For a custom workflow, please contact me directly:
Place this trigger at the beginning of your positive prompt to activate the character swapping behavior effectively.
Example Prompt Structure
jhuangswap, masterpiece, high-end photography, realistic portrait of a young man, matching target lighting, highly detailed skin texture, 8k resolution
💡 Tips & Prompting Guide
1. Focus on Photographic Quality
To maintain the high-end practical feel, always use prompts that steer the base model toward realism. Good:jhuangswap, editorial photography, studio lighting, raw photo, realistic skin... Avoid: Prompts containing words like illustration, 3d render, anime, stylized...
2. Let the Target Image Dictate the Scene
You do not need to heavily describe the pose or the background if you are using an image-to-image/ControlNet workflow. Let the Target Body image drive the composition, and use the prompt to reinforce the identity and photographic quality.
3. Recommended Settings
LoRA Strength: 0.75 – 1.0 (Adjust based on how aggressively the target image deviates from the source identity).
Inference Steps: 20–30 steps for Base Model.
Guidance Scale: 2.0 – 4.0
🚀 Usage
ComfyUI
1. Download the .safetensors file.
2. Place it in: ComfyUI/models/loras/
3. Build your image-to-image or character swap workflow (refer to the Screenshot.jpg).
4. Use the trigger word "jhuangswap" in your positive prompt.
Diffusers (Python)
python
1from diffusers import Flux2Pipeline
2import torch
34pipe = Flux2Pipeline.from_pretrained(5"black-forest-labs/FLUX.2-klein-base-9B",6 torch_dtype=torch.bfloat16
7).to("cuda")89pipe.load_lora_weights(10"nhathoangfoto/Flux.2-Klein-9B-SmartCharcterswap",11 adapter_name="smartcharswap"12)13pipe.set_adapters(["smartcharswap"], adapter_weights=[0.85])1415# Example usage (integration with image-to-image pipelines required for full swap functionality)
⚠️ Limitations
Extreme Angles: While highly robust, extreme profile shots (full 90-degree side profiles) may still experience slight identity degradation depending on the source image quality.
Resolution: Designed for high-end outputs; providing extremely low-resolution source images will limit the detail recovery in the final output.
📄 License
Released under Apache 2.0. You are free to use this LoRA for personal, research, and commercial purposes.
The base model (FLUX.2 Klein Base 9B) has its own license — please review the FLUX.2 Klein Base 9B license terms for base-model usage conditions.
