dataset_001

Created: 2026-05-06T20:34:50.691Z

Purpose

Control dataset for upscale/deblur experiments. In each blur set, target/ contains the normalized original crop and control/ contains the ComfyUI-style Gaussian blurred version of that target.

Origin

Project root: C:\Users\Daniel\Documents\coding_projects\upscale_dataset_maker
Crop manifest: C:\Users\Daniel\Documents\coding_projects\upscale_dataset_maker\output\crops.json
Crop image source folder: C:\Users\Daniel\Documents\coding_projects\upscale_dataset_maker\output\crops
Dataset folder: C:\Users\Daniel\Documents\coding_projects\upscale_dataset_maker\dataset_001
Source Comfy workflow: G:\comfy_dev\new\ComfyUI_windows_portable\ComfyUI\user\default\workflows\workflow_test_12312.json

Comfy Blur Node

Node type: ImageBlur
Display name: Image Blur
Python module: comfy_extras.nodes_post_processing
Workflow node id: 133
Workflow settings: blur_radius=5, sigma=1
Dataset settings: radii 5, 10, sigma 1
Caption written beside each target image: upscale this image to 4k

The script ports Comfy's Gaussian kernel construction: kernel size is blur_radius * 2 + 1, coordinates are sampled with linspace(-1, 1, kernel_size), weights use exp(-(d*d)/(2*sigma*sigma)), the kernel is normalized, and images are mirror-padded before convolution to match Comfy's reflect padding behavior.

Counts

Crops: 414
Target size: 1024x1024
Crops resized down to target size: 303
Target images per blur set: 414
Control images per blur set: 414

Structure

blur_5/control/: blurred control images with Comfy ImageBlur blur_radius=5, sigma=1.
blur_5/target/: matching original target images for radius 5.
blur_10/control/: blurred control images with Comfy ImageBlur blur_radius=10, sigma=1.
blur_10/target/: matching original target images for radius 10.
metadata/source_crops.json: copy of the app crop manifest.
metadata/crops.jsonl: one record per crop with source paths, crop coordinates, per-radius target/control paths, and hashes.
metadata/pairs_all.jsonl: all control to target pairs.
metadata/pairs_blur_5.jsonl: control/target pairs for radius 5.
metadata/pairs_blur_10.jsonl: control/target pairs for radius 10.

Each target/ image has a same-basename .txt caption file for ai-toolkit paired training.

Regeneration

node scripts/create-control-dataset.mjs --dataset dataset_001 --radii 5,10 --sigma 1 --size 1024 --force