A visual dashboard for managing, versioning, and batch-processing JSON configuration files used in AI video generation workflows (I2V, VACE). Two parts:

1. Streamlit Web Interface — Dockerized editor for prompts, LoRAs, settings, and branching history
2. ComfyUI Custom Nodes — Read JSON files directly into workflows, including a dynamic node that auto-discovers keys

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Features

Batch Processor Unlimited sequences within a single JSON file Import settings from any file or history entry Per-shot custom keys (e.g. Shot 1: fog: 0.5, Shot 2: fog: 0.0) Clone, reorder, and manage sequences visually Conflict protection against external file modifications Snippet library for reusable prompt fragments
Visual Timeline Git-style branching with horizontal node graph Non-destructive: forking on old-version edits preserves all history Visual diff highlighting changes between any two versions Restore any past state with one click	Dynamic Node (New) Auto-discovers all JSON keys and exposes them as outputs No code changes needed when JSON structure evolves Preserves connections when keys are added on refresh Native type handling: int, float, string

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Installation

1. Unraid / Docker (Streamlit Manager)

# Repository: python:3.12-slim
# Network: Bridge
# WebUI: http://[IP]:[PORT:8501]

Path Mappings:

Container	Host	Purpose
/app	/mnt/user/appdata/ai-manager/	App files
/mnt/user/	/mnt/user/	Project data / JSON location

Post Arguments:

/bin/sh -c "apt-get update && apt-get install -y graphviz && \
  pip install streamlit opencv-python-headless graphviz streamlit-agraph && \
  cd /app && streamlit run app.py --server.headless true --server.port 8501"

2. ComfyUI (Custom Nodes)

cd ComfyUI/custom_nodes/
git clone <this-repo> ComfyUI-JSON-Manager
# Restart ComfyUI

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ComfyUI Nodes

Node Overview

Dynamic Node

The JSON Loader (Dynamic) node reads your JSON file and automatically creates output slots for every key it finds. No code changes needed when your JSON structure evolves.

How it works:

1. Enter a json_path and sequence_number
2. Click Refresh Outputs
3. Outputs appear named after JSON keys, with native types preserved

json_path: /data/prompt.json sequence_number: 1

Refresh Outputs general_prompt negative seed flf camera KSampler positive seed STRING INT FLOAT

Type handling: Values keep their native Python type — int stays int, float stays float, booleans become "true"/"false" strings, everything else becomes string. The * (any) output type allows connecting to any input.

Refreshing is safe: Clicking Refresh after adding new keys to your JSON preserves all existing connections. Only removed keys get disconnected.

Standard & Batch Nodes

Node	Outputs	Use Case
JSON Loader (Standard/I2V)	prompts, flf, seed, paths	Single-file I2V workflows
JSON Loader (VACE Full)	above + VACE integers	Single-file VACE workflows
JSON Loader (LoRAs Only)	6 LoRA strings	Single-file LoRA loading
JSON Batch Loader (I2V)	prompts, flf, seed, paths	Batch I2V with sequence_number
JSON Batch Loader (VACE)	above + VACE integers	Batch VACE with sequence_number
JSON Batch Loader (LoRAs)	6 LoRA strings	Batch LoRA loading
JSON Loader (Custom 1/3/6)	1, 3, or 6 string values	Manual key lookup by name

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Web Interface Usage

Navigate to your container's IP (e.g., http://192.168.1.100:8501).

Path navigation supports case-insensitive matching — typing /media/P5/myFolder will resolve to /media/p5/MyFolder automatically.

• Custom Parameters: Scroll to "Custom Parameters" in any editor tab. Type a key and value, click Add.
• Timeline: Switch to the Timeline tab to see version history as a graph. Restore any version, and new edits fork a branch automatically.
• Snippets: Save reusable prompt fragments and append them with one click.

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JSON Format

{
  "batch_data": [
    {
      "sequence_number": 1,
      "general_prompt": "A cinematic scene...",
      "negative": "blurry, low quality",
      "seed": 42,
      "flf": 0.5,
      "camera": "pan_left",
      "video file path": "/data/input.mp4",
      "reference image path": "/data/ref.png",
      "my_custom_key": "any value"
      // ... any additional keys are auto-discovered by the Dynamic node
    }
  ]
}

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File Structure

ComfyUI-JSON-Manager/
├── __init__.py            # ComfyUI entry point, exports nodes + WEB_DIRECTORY
├── json_loader.py         # All ComfyUI node classes + /json_manager/get_keys API
├── web/
│   └── json_dynamic.js    # Frontend extension for Dynamic node (refresh, show/hide)
├── app.py                 # Streamlit main entry point & navigator
├── utils.py               # I/O, config, defaults, case-insensitive path resolver
├── history_tree.py        # Git-style branching engine
├── tab_batch.py           # Batch processor UI
├── tab_timeline.py        # Visual timeline UI
├── tab_comfy.py           # ComfyUI server monitor
├── tab_raw.py             # Raw JSON editor
└── tests/
    ├── test_json_loader.py
    ├── test_utils.py
    └── test_history_tree.py

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License

Apache 2.0