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.

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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

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🧩 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

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📐 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

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📁 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

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📏 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)

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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

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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

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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 📏

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Requirements

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