StudioDeep — ComfyUI Nodes

Custom ComfyUI nodes for StudioDeep — AI-assisted text-to-video prompt building with LLM and N8N backend integrations.

Nodes

LLM Backend

Send prompts to a language model (Anthropic/OpenAI) and receive text responses directly in your ComfyUI workflow.

N8N Backend

Trigger N8N webhooks from within ComfyUI and pass data between your automation workflows and image/video pipelines.

T2V Prompt Builder

Structured prompt assembly for text-to-video models. Combines scene, style, motion, and camera direction fields into a single optimised prompt string.

Installation

Via ComfyUI Manager (recommended) Search for "StudioDeep" in the Custom Node Manager and install.

Manual

cd ComfyUI/custom_nodes
git clone https://github.com/studiodeep-ai/comfyui-studiodeep StudioDeep
pip install -r StudioDeep/requirements.txt

Setup

Copy .env.example to .env and fill in your API keys:

cp .env.example .env

Then edit .env with your credentials. ComfyUI must be restarted after changes to .env.

Adding New Nodes

Each node lives in its own file under nodes/. To add a new one:

1. Create nodes/<node_name>.py with the class and its own NODE_CLASS_MAPPINGS / NODE_DISPLAY_NAME_MAPPINGS
2. Add one import line and spread it into both dicts in nodes/__init__.py
3. Bump version in pyproject.toml (PATCH for small additions, MINOR for new categories)
4. Push to main — the GitHub Action publishes to the Registry automatically

License

MIT — see LICENSE