comfyui-node-datatypes
CommunityMaster ComfyUI data types for tensors and models.
Authorjtydhr88
Version1.0.0
Installs0
System Documentation
What problem does it solve?
ComfyUI data type definitions and usage guide help developers correctly declare and handle inputs, outputs, and model interactions across tensors, images, latents, conditioning, and other data formats.
Core Features & Use Cases
- Reference tables for tensor/data types and model types (IMAGE, LATENT, MASK, CONDITIONING, MODEL, CLIP, VAE, AUDIO, VIDEO, 3D, and more).
- Guidance on applying types in node schemas and execution logic, with examples for image pipelines, latent processing, conditioning, and 3D workflows.
- Real-world scenarios: building a node that ingests an image and outputs a latent, or a node that converts latents to images.
Quick Start
Define your ComfyUI node schemas using io.Image, io.Latent, io.Model, and related IO types, then implement the execute method to consume and produce these types.
Dependency Matrix
Required Modules
pythontorch
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: comfyui-node-datatypes Download link: https://github.com/jtydhr88/comfyui-custom-node-skills/archive/main.zip#comfyui-node-datatypes Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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