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Nod WAS Node Suite dalam ComfyUI

WAS Node Suite is a 200-node toolbox for text (concatenate, find/replace, random prompt), images (blend, filters, resize, crop, save as JPEG/WebP), masks, numbers and file handling, filling gaps the core node set leaves open.
Pek nod: was-node-suite-comfyui
Kategori: Pek nod tersuai popular
Halaman ini belum diterjemahkan, jadi ia dipaparkan dalam bahasa Inggeris.

Apa yang dilakukan WAS Node Suite

WAS (WASasquatch) Node Suite is one of the oldest and largest packs. Popular nodes include Text Concatenate and Text Multiline for prompt building, Text Find and Replace, Random Prompt / Prompt Styles, Image Save (JPEG, WebP, quality settings, custom paths), Image Blend / Image Blend by Mask, Image Resize and Image Crop, Image Filter Adjustments (brightness, contrast, sharpness), Image Load Batch for folders, Number and Math nodes, Constant Number, Logic Boolean, and Mask Crop Region / Mask Dilate / Mask Gaussian Region for mask work.
Because the suite is so large, it brings heavy dependencies (OpenCV, scikit-image, some optional NLP packages for the text nodes) and occasionally conflicts with other packs. Many workflows depend on only one or two of its nodes, so it is often installed just for Image Save or Text Concatenate.

Input

Nama
Jenis
Apakah ia
(varies)
-
Each node has its own inputs; the most used are IMAGE, MASK and STRING.

Output

Nama
Jenis
Apakah ia
(varies)
-
IMAGE, MASK, STRING, NUMBER depending on the node.
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Cara menggunakan WAS Node Suite

  1. Install was-node-suite-comfyui from Manager and restart (first import downloads nothing by default).
  2. Use Text Multiline -> Text Concatenate -> CLIP Text Encode (with text input converted to an input) to build prompts from pieces.
  3. Use Image Save with extension webp and quality 90 to export smaller files.
  4. Use Image Load Batch to process a folder of pictures one per queue.
  5. Use Mask Gaussian Region to blur masks before compositing.

Tetapan dan petua

  • Convert the text widget of CLIP Text Encode to an input (right-click > convert widget to input) to feed WAS text nodes.
  • Image Save has embed_workflow for PNG; JPEG and WebP drop the metadata.
  • Disable the BLIP/CLIPSeg nodes in was_suite_config.json if their dependencies cause import errors.
  • Check the node search with the prefix "WAS" to see everything the suite adds.

Penyelesaian masalah WAS Node Suite

IMPORT FAILED: No module named cv2 / skimage / numba

Mengapa ia berlaku
Dependencies did not install into the ComfyUI Python environment.

Cara membaikinya
Manager > Try Fix on WAS Node Suite, or pip install -r requirements.txt with the ComfyUI Python (python_embeded on portable).

Startup takes a long time after installing WAS

Mengapa ia berlaku
The suite checks and downloads optional models for BLIP and CLIPSeg on first run when enabled.

Cara membaikinya
Leave it to finish once, or disable those nodes in was_suite_config.json.

Image Save writes nowhere I can find

Mengapa ia berlaku
output_path is relative to the ComfyUI output folder, or an absolute path was set.

Cara membaikinya
Set output_path to [time(%Y-%m-%d)] or a plain folder name; check the console for the written path.

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Soalan tentang WAS Node Suite

Do I need WAS if I have Impact and rgthree?

Not necessarily. Many of its functions exist in core now (Image Blend, Image Crop, text concatenation via core String nodes). Install it when a workflow asks for it.

Is it maintained?

Updates are infrequent but it generally still imports on current ComfyUI; check Manager for the latest commit.

Nod berkaitan

Save Image
ComfyUI core
Save Image writes the IMAGE tensor to ComfyUI/output as a PNG, with the whole workflow embedded in the file metadata so the picture can be dragged back into ComfyUI to restore the graph.
Load Image
ComfyUI core
Load Image reads a picture from the ComfyUI input folder (or an upload) and outputs an IMAGE tensor plus a MASK taken from the alpha channel, the starting point for img2img, inpainting, ControlNet and IP-Adapter graphs.
CLIP Text Encode (Prompt)
ComfyUI core
CLIP Text Encode turns a text prompt into CONDITIONING using the model text encoder. One node holds the positive prompt, a second one the negative prompt.
Grow Mask, Feather Mask and Invert Mask
ComfyUI core
The core mask tools expand (Grow Mask), soften (Feather Mask) and flip (Invert Mask) a MASK so inpainted regions blend into the surrounding picture without visible seams.
ComfyUI Manager
ComfyUI-Manager
ComfyUI Manager is the extension that installs, updates and fixes custom node packs and models from inside the interface, resolves missing nodes in imported workflows and snapshots your setup.
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Lagi nod ComfyUI

KSampler
ComfyUI core
KSampler runs the denoising loop: it takes the model, prompts and a latent and produces the finished latent image, controlled by seed, steps, cfg, sampler, scheduler and denoise.
Load Checkpoint
ComfyUI core
Load Checkpoint (CheckpointLoaderSimple) opens a .safetensors or .ckpt model file and hands out the three parts every workflow needs: the diffusion MODEL, the CLIP text encoder and the VAE.
VAE Decode
ComfyUI core
VAE Decode converts the sampled LATENT into a pixel IMAGE with the VAE; VAE Decode (Tiled) does the same in tiles for very large images.
Empty Latent Image
ComfyUI core
Empty Latent Image creates the blank latent canvas (width, height, batch_size) that text-to-image sampling starts from; dimensions must be multiples of 8 and match the model family.
Load LoRA
ComfyUI core
Load LoRA (LoraLoader) applies a LoRA file to the MODEL and CLIP with separate strengths, so a style, character or concept can be added to any checkpoint without merging.
Load Diffusion Model
ComfyUI core
Load Diffusion Model (UNETLoader) loads a bare denoising network such as Flux, SD3.5, Wan or HunyuanVideo from models/diffusion_models, with a weight_dtype option for fp8 to save VRAM.