ilkerzgi

This is a LoRA (Low-Rank Adaptation) model that has been trained for image overlay tasks, allowing you to seamlessly blend and place elements into existing images. Table of Contents - Model Details - Uses - Training - Usage Tips Model Description: This model is a LoRA fine-tune of `black-forest-labs/FLUX.1-Kontext-dev` specifically designed for image overlay workflows, enabling natural integration of new elements into existing scenes. Trained by: ilkerzgi and gokaygokay Model Type: LoRA for Image Overlay Language(s): English License: flux1-dev-non-commercial-license Parent Model: black-forest-labs/FLUX.1-Kontext-dev Resources for more information: Download the weights Try the model directly on fal.ai Direct Use This model is designed for image overlay tasks, allowing you to naturally integrate new objects, elements, or modifications into existing images. The model excels at understanding context and placement, creating seamless compositions. The model works best when using the trigger phrase: "place it". Recommended Settings - LoRA Scale: 1.0 or 0.9 for optimal results - Image Format: Square format images work best - Overlay Area: Clear definition of where elements should be placed - Context Understanding: Works well with natural scene composition Training Procedure Training was performed using the FLUX Kontext Trainer on fal.ai. The base model for training was `black-forest-labs/FLUX.1-Kontext-dev`, with specialized focus on image overlay scenarios and contextual element placement. - Use square format images for best results - Set LoRA scale to 1.0 or 0.9 for optimal output quality - Use the simple prompt "place it" as the trigger phrase - Provide clear context about what you want to overlay and where - The model understands spatial relationships and lighting conditions for natural integration - Works well with both object placement and scene modifications

This LoRA model enables precise tattoo placement on human bodies with realistic integration and natural-looking results. Perfect for visualizing tattoo designs before actual application. Table of Contents - Model Details - Uses - Advanced Tips Model Description: A LoRA fine-tune of `black-forest-labs/FLUX.1-Kontext-dev` specifically designed to place tattoo designs realistically on human bodies with natural integration and accurate positioning. Trained by: ilkerzgi Model Type: LoRA for Tattoo Placement Generation Language(s): English License: flux1-dev-non-commercial-license Parent Model: black-forest-labs/FLUX.1-Kontext-dev Download Model File Training Procedure Training was trained using the FLUX Kontext Trainer on fal.ai. Direct Use This model places tattoo designs realistically on human bodies with natural skin integration, proper shading, and anatomically correct positioning. The model works best when using the trigger phrase: "place this tattoo". Specifying body locations (like "on arm" or "on shoulder") is optional - the model works effectively with just "place this tattoo" as well. Prompt Examples - "place this tattoo on forearm" - Places geometric design on forearm with natural integration - "place this tattoo on upper arm" - Positions angel design on upper arm with proper curvature - "place this tattoo on ribs" - Places text-based tattoo on ribs with realistic positioning - "place this tattoo on leg" - Applies tattoo design to leg area with anatomical accuracy Recommended Settings - LoRA Scale: 1.0 for optimal results (recommended default setting)