Hey comfyui world! I’ve crafted a ComfyUI workflow that batch-processes images to generate captions using BLIP Analyze Image and Florence2Run, then saves each image with its own .txt caption file using ImageBatchSaver—perfect for AI training datasets. Check it out on my site: makuta.io/comfyui-batch-captioning.
Workflow Breakdown:
LoadImagesFromFolderKJ (from comfyui-kjnodes): Loads up to 6 images from a folder (e.g., C:\Users\clement\ComfyUI\output\Character02).
BLIP Analyze Image (from was-ns): Generates basic captions (48-96 chars, CPU-friendly).
Florence2Run (from comfyui-florence2): Adds detailed captions (task: "more_detailed_caption", fp16/sdpa).
PreviewImage (comfy-core): Visualizes images for quick checks.
ImageBatchSaver (from the ComfyUI-Batch-Process pack [by Zar4X]—it saves images with companion .txt files per image (e.g., Alix_0001.png + Alix_0001.txt).
Critical Path-Saving Tip:
Connecting LoadImagesFromFolderKJ’s image_path output to ImageBatc…
