ComfyUI LoRA Training Prep Workflow (with Flux1.d) This ComfyUI workflow is built to simplify dataset preparation for LoRA training by automating batch image upscaling and annotation with the power of Flux1.d. It processes entire folders of images, leveraging Flux1.d’s advanced image generation and enhancement capabilities to upscale images with exceptional clarity and detail. After upscaling, it runs automated tagging/annotation to produce descriptive captions, saving them alongside each image for seamless LoRA training integration.Key features:<ul><li>Flux1.d Image Enhancement: Utilizes Flux1.d to upscale and refine images, ensuring high-resolution, high-fidelity training data.</li><li>Batch Processing: Handles large image sets with ease, making it ideal for dataset creation at scale.</li><li>Automated Annotation: Generates captions or tags for each image (via Florence), drastically reducing manual labeling effort.</li><li>LoRA-Ready Output: Outputs neatly paired image and text files in a structure optimized for LoRA training workflows.</li><li>Fully ComfyUI-Integrated: Drag-and-drop functionality, modular node setup, and a clear visual workflow make it easy to customize.</li></ul>This workflow is perfect for AI creators and LoRA trainers who want high-quality, consistent datasets while minimizing prep time.

Batch Upscale and Annotator Workflow

Added the ability to disable upscale and just annotate.

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