# 🎛️ AI Settings Manager for ComfyUI A 100% vibecoded, visual dashboard for managing, versioning, and batch-processing JSON configuration files used in AI video generation workflows (I2V, VACE). This tool consists of two parts: 1. **Streamlit Web Interface:** A Dockerized editor to manage prompts, LoRAs, settings, and **branching history**. 2. **ComfyUI Custom Nodes:** A set of nodes to read these JSON files (including custom keys) directly into your workflows. ![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg) ![Python](https://img.shields.io/badge/Python-3.10%2B-green) ![Streamlit](https://img.shields.io/badge/Built%20with-Streamlit-red) --- ## ✨ Features ### 📝 Single File Editor * **Visual Interface:** Edit Prompts, Negative Prompts, Seeds, LoRAs, and advanced settings (Camera, FLF, VACE params) without touching raw JSON. * **🔧 Custom Parameters:** Add arbitrary key-value pairs (e.g., `controlnet_strength`, `my_custom_value`) that persist and can be read by ComfyUI. * **Conflict Protection:** Prevents accidental overwrites if the file is modified by another tab or process. * **Snippet Library:** Save reusable prompt fragments (e.g., "Cinematic Lighting", "Anime Style") and append them with one click. ### 🚀 Batch Processor * **Sequence Management:** Create unlimited sequences within a single JSON file. * **Smart Import:** Copy settings from **any other file** or **history entry** into your current batch sequence. * **Custom Keys per Shot:** Define unique parameters for specific shots in a batch (e.g., Shot 1 has `fog: 0.5`, Shot 2 has `fog: 0.0`). * **Promote to Single:** One-click convert a specific batch sequence back into a standalone Single File. ### 🕒 Visual Timeline (New!) * **Git-Style Branching:** A dedicated tab visualizes your edit history as a **horizontal node graph**. * **Non-Destructive:** If you jump back to an old version and make changes, the system automatically **forks a new branch** so you never lose history. * **Visual Diff:** Inspect any past version and see a "Delta View" highlighting exactly what changed (e.g., `Seed: 100 -> 555`) compared to your current state. * **Interactive Mode (WIP):** A zoomed-out, interactive canvas to explore complex history trees. --- ## 🛠️ Installation ### 1. Unraid / Docker Setup (The Manager) This tool is designed to run as a lightweight container on Unraid. 1. **Prepare a Folder:** Create a folder on your server (e.g., `/mnt/user/appdata/ai-manager/`) and place the following files inside: * `app.py` * `utils.py` * `history_tree.py` (New logic engine) * `tab_single.py` * `tab_batch.py` * `tab_timeline.py` * `tab_timeline_wip.py` 2. **Add Container in Unraid:** * **Repository:** `python:3.12-slim` * **Network:** `Bridge` * **WebUI:** `http://[IP]:[PORT:8501]` 3. **Path Mappings:** * **App Location:** Container `/app` ↔ Host `/mnt/user/appdata/ai-manager/` * **Project Data:** Container `/mnt/user/` ↔ Host `/mnt/user/` (Your media/JSON location) 4. **Post Arguments (Crucial):** Enable "Advanced View" and paste this command to install the required graph engines: ```bash /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 Setup (The Nodes) 1. Navigate to your ComfyUI installation: `ComfyUI/custom_nodes/` 2. Create a folder named `ComfyUI-JSON-Loader`. 3. Place the `json_loader.py` file inside. 4. Restart ComfyUI. --- ## 🖥️ Usage Guide ### The Web Interface Navigate to your container's IP (e.g., `http://192.168.1.100:8501`). * **Custom Parameters:** Scroll to the bottom of the editor (Single or Batch) to find the "🔧 Custom Parameters" section. Type a Key (e.g., `strength`) and Value (e.g., `0.8`) and click "Add". * **Timeline:** Switch to the **Timeline Tab** to see your version history. * **Restore:** Select a node from the list or click on the graph (WIP tab) to view details. Click "Restore" to revert settings to that point. * **Branching:** If you restore an old node and click "Save/Snap", a new branch is created automatically. ### ComfyUI Workflow Search for "JSON" in ComfyUI to find the new nodes. image #### Standard Nodes | Node Name | Description | | :--- | :--- | | **JSON Loader (Standard/I2V)** | Outputs prompts, FLF, Seed, and paths for I2V. | | **JSON Loader (VACE Full)** | Outputs everything above plus VACE integers (frames to skip, schedule, etc.). | | **JSON Loader (LoRAs Only)** | Outputs the 6 LoRA strings. | #### Universal Custom Nodes (New!) These nodes read *any* key you added in the "Custom Parameters" section. They work for both Single files (ignores sequence input) and Batch files (reads specific sequence). | Node Name | Description | | :--- | :--- | | **JSON Loader (Custom 1)** | Reads 1 custom key. Input the key name (e.g., "strength"), outputs the value string. | | **JSON Loader (Custom 3)** | Reads 3 custom keys. | | **JSON Loader (Custom 6)** | Reads 6 custom keys. | #### Batch Nodes These nodes require an integer input (Primitive or Batch Indexer) for `sequence_number`. | Node Name | Description | | :--- | :--- | | **JSON Batch Loader (I2V)** | Loads specific sequence data for I2V. | | **JSON Batch Loader (VACE)** | Loads specific sequence data for VACE. | | **JSON Batch Loader (LoRAs)** | Loads specific LoRAs for that sequence. | --- ## 📂 File Structure ```text /ai-manager ├── app.py # Main entry point & Tab controller ├── utils.py # I/O logic, Config, and Defaults ├── history_tree.py # Graph logic, Branching engine, Graphviz generator ├── tab_single.py # Single Editor UI ├── tab_batch.py # Batch Processor UI ├── tab_timeline.py # Stable Timeline UI (Compact Graphviz + Diff Inspector) ├── tab_timeline_wip.py # Interactive Timeline UI (Streamlit Agraph) └── json_loader.py # ComfyUI Custom Node script