Files
T
rubz 155144a018 polish README: images up top, full-width, custom value + standalone notes
- move all node screenshots above the description text, full-width (100%)
- note that Longest side accepts a typed custom value, not just the presets
- clarify Smart Batch Resize works standalone (no wiring needed, just folder + Run Batch)
2026-07-01 12:53:00 +02:00

9.4 KiB
Raw Permalink Blame History

ComfyUI-CraftKit

ComfyUI-CraftKit

Custom nodes for ComfyUI - image resizing, dataset prep & prompt automation for LoRA training workflows.

All nodes appear under the CraftKit category in the node menu.


Nodes

📋 Smart Prompt Controller

Cycle through up to 4 prompt lists using a single incrementing index. Counts lines automatically, selects the right prompt, and outputs which list is active - ideal for driving Switch nodes that control aspect ratio, latent size, or other per-category settings.

Typical usecases:

  • LoRA dataset generation with multiple pose categories (headshots, halfbody, fullbody, tall portrait), each with their own prompt list and aspect ratio
  • Any batch workflow where you need to rotate through different prompt sets and switch settings per set
Input Type Description
Index INT Current position across all lists (1-indexed). Set "control after generate" to increment to auto-advance every run
Prompt list 1 STRING First prompt list, one prompt per line
Prompt list 2 STRING Second prompt list (optional)
Prompt list 3 STRING Third prompt list (optional)
Prompt list 4 STRING Fourth prompt list (optional)

Outputs: Prompt (selected line as STRING), Active list (active list number as INT → feed to Smart Profile Switch or Switch nodes)

The node displays a status label showing the current position: List 1 — 4/5 | total: 8


🧩 Smart Profile Switch

Maps an active index (1–4) to a label, width, and height. Pairs directly with Smart Prompt Controller's active_list output to switch resolution and filename label per category in one node — no separate Aspect Ratio + Primitive + Switch combo needed.

Typical usecases:

  • Driving EmptyLatentImage / EmptySD3LatentImage width/height per prompt category
  • Feeding a filename suffix into SaveImageExtended or similar so each category's output is labeled automatically
  • Replacing a CR Aspect Ratio + 4× Primitive + LatentSwitch chain with a single node
Input Type Default Description
Index INT 1 Active profile (1–4). Connect to Active list from Smart Prompt Controller
Label 1 … Label 4 STRING Headshots / Halfbody / Fullbody / Tall Label for each profile, used as filename suffix
Width 1 … Width 4 INT 1024 / 832 / 768 / 640 Width for each profile
Height 1 … Height 4 INT 1024 / 1216 / 1344 / 1536 Height for each profile

Outputs: Label (STRING), Width (INT), Height (INT)

The node displays a status label showing the active slot: Slot 2: Halfbody | 832 × 1216


📐 Smart Resize

Resize any image (or batch) so the longest side equals longest_side, with aspect ratio preserved.

Use this as a pipeline node — IMAGE in, IMAGE out. No files are saved to disk.

Typical usecases:

  • Downscale a SeedVR2 (or other upscaler) result back to your target training size — the upscaler adds fine detail, Smart Resize brings it to the right dimensions for LoRA training
  • Any workflow step that needs a clean resize before the next node
  • Normalize mixed-resolution batches to a consistent size
Input Type Default Description
Image IMAGE — Single image or batch
Longest side (px) INT 1536 Target size for longest side. Quick presets: 512 / 768 / 1024 / 1536 — or type any custom value directly into the field
Round to multiple of INT 8 Snap dimensions to this multiple (8 = SD/Flux compatible)
Interpolation method ENUM lanczos lanczos / bicubic / bilinear / nearest
Upscale if smaller BOOLEAN true Upscale images smaller than longest_side. Turn off to only ever downscale, never upscale

Outputs: Image, Width, Height


📁 Smart Batch Resize

Load all images from a folder, resize each one by longest side, and save into a subfolder. Build clean dataset filenames from a prefix, the original name, and/or a sequential counter — combined with an optional resolution suffix.

Use this for bulk preprocessing — e.g. preparing a LoRA dataset from a folder of high-res images. It works as a standalone node: it needs no upstream input and no downstream connection to do its job — drop it on the canvas, point it at a folder, hit Run Batch, and it reads, resizes, and saves everything itself. Connecting the images/count outputs is entirely optional, e.g. for previewing results.

Includes a Browse folder button to pick the input folder directly from the node, and quick presets (512 / 768 / 1024 / 1536) for the longest side — or type any custom value directly into the field.

Input Type Default Description
Input folder STRING — Source folder path (use Browse button or paste manually)
Longest side (px) INT 1024 Target size for longest side. Quick presets: 512 / 768 / 1024 / 1536 — or type any custom value directly into the field
Round to multiple of INT 8 Snap dimensions to this multiple
Interpolation method ENUM lanczos lanczos / bicubic / bilinear / nearest
Filename prefix STRING — Label prepended to filename — e.g. headshot → headshot_photo_001_1024.jpg
Keep original filename BOOLEAN true Include the original filename in the output name
Add counter BOOLEAN false Add a sequential 3-digit counter to each filename (001, 002, ...)
Counter start INT 1 Starting number for the counter
Add resolution to filename BOOLEAN true Append resolution to filename — e.g. photo_1024.png
Create resolution subfolder BOOLEAN false Append resolution to subfolder name — e.g. resized_1024
Custom output subfolder STRING resized Subfolder name inside the input folder
Skip existing files BOOLEAN true Skip files that already exist in the output folder
Filename delimiter STRING _ Separator between filename parts

Outputs: Images (list), Count


📏 Smart Resolution Multiplier

Multiply image dimensions by a factor and output the results as integers.

SeedVR2 takes a single resolution INT (the longest side) — not a width and height separately. Standard math nodes give you a FLOAT or require multiple steps to get there. This node does it cleanly in one step: give it your image and a multiplier, and it outputs width, height, and resolution (longest side) ready to connect directly to SeedVR2's resolution input.

Also useful for LoRA dataset prep — using mixed resolutions in your training set generally produces better results than training on a single fixed size. Smart Resolution Multiplier makes it easy to dynamically calculate the right target size per image rather than hardcoding a value.

Input Type Default Description
Image IMAGE — Source image — its current width/height are read directly, no separate Get Image Size node needed
Multiplier FLOAT 2.0 Multiply width and height by this factor
Round to multiple of INT 8 Snap dimensions to this multiple

Outputs: Width, Height, Resolution (longest side as INT → directly into SeedVR2)


Example workflows

Ready-to-load workflows are included in example_workflows/:

  • smart_prompt_controller_demo.json — Smart Prompt Controller + Smart Profile Switch driving 4 prompt categories with auto-switching resolution and filename label
  • seedvr2_smartresize_demo.json — Smart Resolution Multiplier → SeedVR2 upscale → Smart Resize, a clean pattern for upscaling without hardcoding target resolution
  • smart_batch_resize_demo.json — minimal Smart Batch Resize setup with a Note explaining outputs and settings

Why these nodes?

  • ComfyUI's built-in Resize Images by Longer Edge [BETA] has no Lanczos and no multiple_of snapping
  • JWImageResizeByLongerSide (comfyui-various) has no Lanczos in the official release
  • No existing node combines batch folder loading + longest-side resize + original filename preservation
  • No existing node outputs a ready-to-use resolution INT for SeedVR2
  • No existing node cycles through multiple prompt lists with automatic list switching and an index
  • No existing node switches label + width + height together per category in one place
  • Smart Prompt Controller + Smart Profile Switch handle uneven category sizes automatically — 5 headshot prompts and 10 fullbody prompts cycle correctly without padding lists to match or manually tracking where one category ends and the next begins

Installation

ComfyUI Manager: search for ComfyUI-CraftKit and install.

Manual:

cd ComfyUI/custom_nodes
git clone https://github.com/CraftopiaStudio/ComfyUI-CraftKit

Restart ComfyUI. All nodes appear under CraftKit in the node menu:

  • CraftKit → Smart Prompt Controller 📋
  • CraftKit → Smart Profile Switch 🧩
  • CraftKit → Smart Resize 📐
  • CraftKit → Smart Batch Resize 📁
  • CraftKit → Smart Resolution Multiplier 📏

Requirements

Pillow, NumPy, PyTorch — all included with ComfyUI. No extra dependencies.