Extensions/StudioDeep
ComfyUI Extension

StudioDeep

Custom Nodes for Creative Engineering in ComfyUI at Studio Deep (Freelance Generative AI Engineer)

By studiodeep-ai·Created 6 months ago·Updated 5 months ago· 0
studiodeep-ai/comfyui-studiodeep
Nodes15
On cloudLocal install
CategoryStudioDeep/Compositing, StudioDeep
Stars0
Updated5 months ago

Nodes (15)

3-Panel Moodboard

9 moodboard — no AI involved

StudioDeep/Compositing
Describer

Canned prompts for describing a shot

StudioDeep
fal.ai Backend

A one-key wallet for fal.ai

StudioDeep/Backends
fal.ai Vision

Ask a cloud vision model what's actually in your frame

StudioDeep/Vision
Image Analyzer

Send an image to your n8n workflow and get clean JSON back

StudioDeep/N8N
Image Prompt by Seed Idea

From a half-thought to a full image prompt, via your N8N workflow

StudioDeep
JSON Shot Splitter

Slice a shot manifest into per-shot prompts without touching code

StudioDeep/JSON
LLM Backend

Wiring Claude or OpenAI into StudioDeep

StudioDeep/Backends
N8N Backend

Point StudioDeep at your own N8N workflow, no HTTP glue required

StudioDeep/Backends
Prompt Ingredient

A spice rack of prompt chunks, each one a deliberate phrase

StudioDeep
Story Panel

Turn one reference image into three follow-up shots that match

StudioDeep
String Passthrough

The node you attach when you just want to see the string

StudioDeep/Utils
String Template

A template that's mostly a placeholder — literally

StudioDeep
T2V Prompt Builder

Structured text-to-video prompts that don't read like word salad

StudioDeep
Template Image

Drop the pack's character-consistency template straight into your graph

StudioDeep
Readme

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