# ComfyUI-CraftKit Custom nodes for ComfyUI - image resizing, dataset prep & prompt automation for LoRA training workflows. All nodes appear under the **Craftopia** category in the node menu. --- ## Nodes ### 🎛️ Smart Prompt Controller Cycle through up to 4 prompt lists using a single incrementing counter. 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 | |---|---|---| | counter | INT | Auto-incrementing counter (1-indexed) | | prompt_list_1 | STRING | First prompt list - one prompt per line (forceInput) | | prompt_list_2 | STRING | Second prompt list (optional, forceInput) | | prompt_list_3 | STRING | Third prompt list (optional, forceInput) | | prompt_list_4 | STRING | Fourth prompt list (optional, forceInput) | **Outputs:** `prompt` (selected line as STRING), `list_index` (active list number as INT → feed to Switch nodes) The node displays a status label showing the current position: `List 1 — 4/5 | total: 8` --- ### 📐 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 SeedVR (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 | INT | 1536 | Target size for longest side | | multiple_of | INT | 8 | Snap dimensions to this multiple (8 = SD/Flux compatible) | | interpolation | ENUM | lanczos | lanczos / bicubic / bilinear / nearest | | upscale_if_smaller | BOOLEAN | false | Also upscale images already smaller than longest_side | **Outputs:** `image`, `width`, `height` --- ### 📁 Smart Batch Resize Load **all images from a folder**, resize each one by longest side, and save with the original filename + a suffix into a subfolder. Original filenames are always preserved. Use this for **bulk preprocessing** — e.g. preparing a LoRA dataset from a folder of high-res images. | Input | Type | Default | Description | |---|---|---|---| | input_folder | STRING | D:/images/input | Source folder path | | longest_side | INT | 1536 | Target size for longest side | | filename_suffix | STRING | _Small | Appended to each output filename before the extension | | output_subfolder | STRING | resized | Subfolder created inside input_folder | | multiple_of | INT | 8 | Snap dimensions to this multiple | | interpolation | ENUM | lanczos | lanczos / bicubic / bilinear / nearest | | skip_if_exists | BOOLEAN | false | Skip files that already exist in output | **Outputs:** `images` (list), `filenames` (list), `output_paths` (list), `count` --- ### 📏 Smart Resolution Multiplier Multiply image dimensions by a factor and output the results as integers. SeedVR 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 SeedVR's `max_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 | | multiplier | FLOAT | 2.0 | Multiply width and height by this factor | | multiple_of | INT | 8 | Snap dimensions to this multiple | **Outputs:** `width`, `height`, `resolution` (longest side as INT → directly into SeedVR) --- ## 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 SeedVR - No existing node cycles through multiple prompt lists with automatic list switching and counter --- ## Installation **ComfyUI Manager:** search for `ComfyUI-Craftopia` and install. **Manual:** ```bash cd ComfyUI/custom_nodes git clone https://github.com/CraftopiaStudio/ComfyUI-Craftopia ``` Restart ComfyUI. All nodes appear under **Craftopia** in the node menu: - `Craftopia` → **Smart Prompt Controller 🎛️** - `Craftopia` → **Smart Resize 📐** - `Craftopia` → **Smart Batch Resize 📁** - `Craftopia` → **Smart Resolution Multiplier 📏** --- ## Requirements Pillow, NumPy, PyTorch — all included with ComfyUI. No extra dependencies.