Batch Upscale and Annotator Workflow

Batch Upscale and Annotator Workflow is for preparing LoRA training datasets from folders of images: in ComfyUI, it batch-upscales images with Flux1.d, generates captions or tags through Florence, and saves paired image and text files.

It processes image folders, upscales the images, then runs automated tagging or annotation and saves captions alongside the images.

Input: a folder of images for batch processing.

Outputs: upscaled images with descriptive captions or tags, saved as paired image and text files for LoRA training.

Use it in ComfyUI with drag-and-drop and modular nodes; the visual layout can be customized.

The listed model files and model are: flux1-dev-fp8.safetensors, t5xxl_fp16.safetensors, ae.safetensors, clip_l.safetensors, 4x_NMKD-Superscale-SP_178000_G.pth, and microsoft/Florence-2-base.

The listed ComfyUI node packs are: comfyui_ultimatesdupscale, comfyui-custom-scripts, comfyui-florence2, comfyui-kjnodes, rgthree-comfy, was-node-suite-comfyui, and was-ns.

The base model is Flux.1 D.

The annotation stage uses Florence, and the modular node layout can be customized.

Before use, verify that ae.safetensors and was-ns are available under the exact names shown.

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Before use, verify which ComfyUI node packs to use for comfyui-florence2 and was-node-suite-comfyui.

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