Create powerful inpaint transformations using Flux Dev Q8 in combination with LoRA models. This workflow excels at reconstructing masked areas while applying detailed stylistic changes—perfect for enhancing portraits, editing outfits, or transforming facial features with ease and precision.

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🎯 Features

• Flux Dev Q8 Model – Optimized UNet for enhanced inpainting results.
• LoRA Integration – Uses Power Lora Loader to inject multiple LoRA styles (like moonal1saa).
• Mask-Based Editing – Inpaint specific regions using precise mask control.
• Custom Prompts Support – Combine trigger words and stylistic prompts dynamically.
• Stitching & Decoding – Maintains image resolution and coherence through InpaintCrop, InpaintStitch, and VAEDecode.
• FluxGuidance Node – Fine control over the guidance strength for improved prompt responsiveness.

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💡 Use Cases

• Portrait Reworks – Change facial features, hairstyles, or accessories while keeping base structure.
• Fantasy/Character Edits – Inject stylistic LoRA characters into selected image regions.
• Fixing Images – Repair damaged or unwanted parts using guided inpainting.
• Fashion Retouches – Swap clothing or accessories on models selectively.
• Creative Concept Art – Use LoRA-enhanced prompts to generate imaginative alterations on existing images.

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⚙️ How It Works

1. Load an Image & Mask – Use the LoadImage node to input both the source image and its mask.
2. Set Up LoRA – In Power Lora Loader, load your desired LoRAs (e.g. Mona Lisa Flux, Turbo Alpha) and set their strengths.
3. Define Prompts – Use trigger words and stylistic descriptions (easy positive, CLIPTextEncode, Text Concatenate) to influence generation.
4. Enable FluxGuidance – Connect encoded text through FluxGuidance to refine prompt control.
5. Condition the Inpainting – Use InpaintModelConditioning with your image, mask, and VAE.
6. Sample & Decode – Process through KSampler and VAEDecode to reconstruct the image.
7. Stitch & Preview – Combine inpainted parts with InpaintStitch, preview the results, and save via SaveImage.

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Credits: pixaroma