comfy-test
Testing infrastructure for ComfyUI custom nodes.
Test your nodes install and work correctly across Linux, macOS, Windows, and Windows Portable. No pytest code needed.
Quick Start
Add these files to your custom node repository:
1. comfy-test.toml
[test]
# Name is auto-detected from directory
[test.workflows]
cpu = "all" # Run all workflows in workflows/ folder
2. .github/workflows/test-install.yml
name: Test Installation
on: [push, pull_request]
jobs:
test:
uses: PozzettiAndrea/comfy-test/.github/workflows/test-matrix.yml@main
3. workflows/test.json
A minimal ComfyUI workflow that uses your nodes. Export from ComfyUI.
Done! Push to GitHub and your tests will run automatically on all platforms.
Test Levels
comfy-test runs 7 test levels in sequence:
| Level | Name | What It Does |
|---|---|---|
| 1 | SYNTAX | Check project structure (pyproject.toml/requirements.txt), CP1252 compatibility |
| 2 | INSTALL | Clone ComfyUI, create environment, install node + dependencies |
| 3 | REGISTRATION | Start server, verify nodes appear in /object_info |
| 4 | INSTANTIATION | Test each node's constructor |
| 5 | STATIC_CAPTURE | Screenshot workflows (no execution) |
| 6 | VALIDATION | 4-level workflow validation (schema, graph, introspection, partial execution) |
| 7 | EXECUTION | Run workflows end-to-end, capture outputs |
Each level depends on previous levels. You can run up to a specific level with --level:
comfy-test run --level registration # Runs: SYNTAX -> INSTALL -> REGISTRATION
Workflow Validation (4 Levels)
The VALIDATION level runs comprehensive checks before execution:
| Level | Name | What It Checks |
|---|---|---|
| 1 | Schema | Widget values match allowed enums, types, and ranges |
| 2 | Graph | Connections are valid, all referenced nodes exist |
| 3 | Introspection | Node definitions are well-formed (INPUT_TYPES, RETURN_TYPES, FUNCTION) |
| 4 | Partial Execution | Runs non-CUDA nodes to verify they work |
Detecting CUDA Nodes
To mark nodes as requiring CUDA (excluded from partial execution), use comfy-env.toml:
[cuda]
packages = ["nvdiffrast", "flash-attn"]
Configuration Reference
Minimal Config
[test]
# Everything has sensible defaults - this is all you need
[test.workflows]
cpu = "all"
Full Config Example
[test]
# Name is auto-detected from directory name (e.g., "ComfyUI-MyNode")
# ComfyUI version to test against
comfyui_version = "latest" # or a tag like "v0.2.0" or commit hash
# Python version (default: random from 3.11, 3.12, 3.13)
python_version = "3.11"
# Test levels to run (default: all)
# Options: syntax, install, registration, instantiation, static_capture, validation, execution
levels = ["syntax", "install", "registration", "instantiation", "static_capture", "validation", "execution"]
# Or use: levels = "all"
# Enable/disable platforms (all enabled by default)
[test.platforms]
linux = true
macos = true
windows = true
windows_portable = true
# Workflow configuration
[test.workflows]
# Workflows to run on CPU runners (GitHub-hosted)
cpu = "all" # or list specific files: ["test_basic.json", "test_advanced.json"]
# Workflows to run on GPU runners (self-hosted)
gpu = ["test_gpu.json"]
# Timeout for workflow execution in seconds (default: 3600)
timeout = 120
# Platform-specific settings
[test.linux]
enabled = true
skip_workflow = false # Skip workflow execution, only verify registration
[test.macos]
enabled = true
skip_workflow = false
[test.windows]
enabled = true
skip_workflow = false
[test.windows_portable]
enabled = true
skip_workflow = false
comfyui_portable_version = "latest" # Portable-specific version
Workflow Discovery
Workflows are auto-discovered from the workflows/ folder:
- All
.jsonfiles inworkflows/are found automatically - Use
cpu = "all"to run all discovered workflows on CPU - Use
gpu = "all"to run all discovered workflows on GPU - Or specify individual files:
cpu = ["basic.json", "advanced.json"]
CLI
# Install
pip install comfy-test
# Initialize config and GitHub workflow
comfy-test init
# Run tests locally
comfy-test run --platform linux
# Run specific level only
comfy-test run --level registration
# Publish results to GitHub Pages
comfy-test publish ./results --repo owner/repo
CUDA Packages on CPU-only CI
comfy-test runs on CPU-only GitHub Actions runners. For nodes that use CUDA packages:
- Installation works - comfy-test sets
COMFY_ENV_CUDA_VERSION=12.8so comfy-env can resolve wheel URLs - Import may fail - CUDA packages typically fail to import without a GPU
For full CUDA testing, use a self-hosted runner with a GPU.
License
MIT
1 maintainer
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