docs: Update README with new node types and features
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@@ -6,9 +6,21 @@ A comprehensive ComfyUI custom node that extends the standard text encoder with
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ComfyUI Prompt Manager functions as a drop-in replacement for ComfyUI's standard `CLIPTextEncode` node while adding comprehensive prompt management and automatic image tracking features:
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ComfyUI Prompt Manager provides two powerful node types for comprehensive prompt management:
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### **PromptManager** (CLIP Encoding Node)
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A drop-in replacement for ComfyUI's standard `CLIPTextEncode` node with database features:
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- **🔄 Drop-in Replacement**: Works exactly like the standard text encoder
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- **🤖 CLIP Encoding**: Outputs CONDITIONING for use with samplers and other CLIP-dependent nodes
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### **PromptManagerText** (Text-Only Node)
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A text-focused variant that outputs raw STRING for maximum flexibility:
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- **📝 Pure Text Output**: Outputs STRING type for use with any text-accepting node
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- **🔗 Text Concatenation**: Built-in prepend/append functionality for dynamic text assembly
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- **⚡ Lightweight Processing**: No CLIP encoding overhead for text-only workflows
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### **Shared Features**
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Both nodes include the complete PromptManager feature set:
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- **💾 Persistent Storage**: Automatically saves all prompts to a local SQLite database
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- **🔍 Advanced Search**: Query past prompts with text search, category filtering, and metadata
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- **🖼️ Automatic Image Gallery**: Automatically links generated images to their prompts
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@@ -26,7 +38,18 @@ ComfyUI Prompt Manager functions as a drop-in replacement for ComfyUI's standard
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### Core Functionality
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#### PromptManager (CLIP Encoding)
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- **Text Encoding**: Standard CLIP text encoding for ComfyUI workflows
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- **Conditioning Output**: Produces CONDITIONING for samplers and generation nodes
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- **Full Compatibility**: Drop-in replacement for CLIPTextEncode nodes
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#### PromptManagerText (Text-Only)
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- **String Output**: Produces STRING for use with any text-accepting node
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- **Text Concatenation**: Prepend and append fields for dynamic text assembly
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- **Lightweight**: No CLIP encoding overhead for pure text workflows
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- **Flexible Integration**: Works with custom nodes, text processors, and other STRING inputs
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#### Shared Features
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- **Auto-Save**: Every prompt is automatically saved to the database
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- **Metadata Support**: Optional categories, tags, ratings (1-5), notes, and workflow names
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- **Hash-based Deduplication**: Prevents storing identical prompts multiple times
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@@ -133,10 +156,10 @@ The image gallery has been completely redesigned with professional image viewing
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3. **Restart ComfyUI** to load the new node
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4. **Add the node** to your workflow:
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4. **Add the nodes** to your workflow:
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- Look for "Prompt Manager" in the conditioning category
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- Use it exactly like the standard "CLIP Text Encode" node
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- **PromptManager**: Look for "Prompt Manager" in the conditioning category - use exactly like "CLIP Text Encode"
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- **PromptManagerText**: Look for "Prompt Manager Text" in the PromptManager/Text category - outputs STRING for any text node
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5. **Access the web interface**:
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- **Admin Dashboard**: `http://localhost:8188/prompt_manager/admin` - Full management interface
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@@ -154,19 +177,33 @@ The image gallery has been completely redesigned with professional image viewing
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### Basic Usage
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#### Using PromptManager (CLIP Encoding)
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Replace any `CLIPTextEncode` node with `PromptManager`:
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1. **Add the node** to your workflow
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1. **Add the PromptManager node** to your workflow
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2. **Connect CLIP model** (same as standard text encoder)
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3. **Enter your prompt** in the text field
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4. **Optionally add metadata**:
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- Category: "portraits", "landscapes", "abstract", etc.
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- Tags: "detailed, anime, masterpiece" (comma-separated)
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- Rating: 1-5 stars for prompt quality
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- Notes: Any additional information
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- Workflow Name: Name of your workflow for organization
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4. **Connect the CONDITIONING output** to your sampler node
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The node will encode your text, automatically save it to the database, and link any generated images to the prompt.
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#### Using PromptManagerText (Text-Only)
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For text-only workflows or when you need STRING output:
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1. **Add the PromptManagerText node** to your workflow
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2. **Enter your prompt** in the text field
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3. **Optionally use prepend/append** for dynamic text assembly:
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- **Prepend Text**: Text added before your main prompt
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- **Append Text**: Text added after your main prompt
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4. **Connect the STRING output** to any node that accepts text input
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#### Shared Metadata Options
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Both nodes support the same metadata fields:
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- **Category**: "portraits", "landscapes", "abstract", etc.
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- **Tags**: "detailed, anime, masterpiece" (comma-separated)
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- **Rating**: 1-5 stars for prompt quality (web interface only)
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- **Notes**: Any additional information (web interface only)
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- **Workflow Name**: Name of your workflow for organization (web interface only)
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Both nodes will automatically save prompts to the database and link any generated images to the prompt.
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### 🖼️ Using the Image Gallery
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@@ -274,34 +311,57 @@ images = db.get_prompt_images(prompt_id="123")
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## Examples
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### Example 1: Basic Prompt Storage
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### PromptManager (CLIP Encoding) Examples
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#### Example 1: Basic Prompt Storage
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```
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Input: "A beautiful sunset over a mountain lake"
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Category: "landscapes"
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Tags: "nature, sunset, mountains, water"
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Rating: 5
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Notes: "Perfect for peaceful scenes"
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→ Outputs: CONDITIONING for sampler nodes
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```
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### Example 2: Character Prompt
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#### Example 2: Character Prompt
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```
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Input: "Portrait of a cyberpunk hacker with neon implants"
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Category: "characters"
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Tags: "cyberpunk, portrait, sci-fi, neon"
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Rating: 4
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Workflow: "character_generator_v2"
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→ Outputs: CONDITIONING for sampler nodes
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```
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### Example 3: Abstract Art
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### PromptManagerText (Text-Only) Examples
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#### Example 3: Dynamic Text Assembly
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```
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Main Text: "beautiful landscape"
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Prepend Text: "masterpiece, ultra detailed,"
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Append Text: ", 8k resolution, trending on artstation"
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→ Final Output: "masterpiece, ultra detailed, beautiful landscape, 8k resolution, trending on artstation"
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```
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#### Example 4: Text Processing Pipeline
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```
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Input: "A serene mountain lake at sunset"
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Category: "landscapes"
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Tags: "nature, peaceful, golden hour"
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→ Outputs: STRING for use with text processors, style nodes, or other custom nodes
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```
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#### Example 5: Multi-Node Text Workflow
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```
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PromptManagerText → Text Processor → Style Applicator → Final Text Node
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"cyberpunk city" → style processing → "neon-lit cyberpunk metropolis at night"
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```
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### Traditional Examples
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#### Example 6: Abstract Art
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```
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Input: "Swirling colors in an abstract geometric pattern"
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Category: "abstract"
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Tags: "geometric, colorful, pattern, modern"
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Rating: 3
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Notes: "Good for experimental art"
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Rating: 3 (set via web interface)
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Notes: "Good for experimental art" (set via web interface)
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```
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## Database Schema
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@@ -343,7 +403,8 @@ CREATE TABLE generated_images (
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### Core Components
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- **`prompt_manager.py`** - Main ComfyUI node implementation
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- **`prompt_manager.py`** - Main ComfyUI node implementation (CLIP encoding)
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- **`prompt_manager_text.py`** - Text-only node implementation (STRING output)
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- **`database/models.py`** - Database schema and connection management
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- **`database/operations.py`** - CRUD operations and search functionality
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- **`py/api.py`** - Web API endpoints for the interface
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@@ -365,7 +426,8 @@ CREATE TABLE generated_images (
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```
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ComfyUI_PromptManager/
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├── __init__.py # Node registration
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├── prompt_manager.py # Main node implementation
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├── prompt_manager.py # Main node implementation (CLIP encoding)
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├── prompt_manager_text.py # Text-only node implementation (STRING output)
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├── database/
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│ ├── __init__.py
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│ ├── models.py # Database schema
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@@ -575,6 +637,16 @@ MIT License - see LICENSE file for details.
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## Changelog
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### v3.0.5 (Text-Only Node Release)
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- **📝 PromptManagerText Node**: New text-only variant that outputs STRING instead of CONDITIONING
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- **🔗 Text Concatenation**: Built-in prepend/append functionality for dynamic text assembly
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- **⚡ Lightweight Processing**: No CLIP encoding overhead for pure text workflows
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- **🔄 Dual Node Architecture**: Choose between CLIP encoding (PromptManager) or text-only (PromptManagerText)
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- **🏷️ Shared Metadata System**: Both nodes use the same database and metadata features
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- **🖼️ Unified Gallery**: Images from both node types appear in the same gallery system
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- **📊 Enhanced Tracking**: Improved prompt tracking with prepend/append context preservation
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### v3.0.3 (ViewerJS Integration & Enhanced Gallery)
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- **🖼️ Professional Image Viewer**: Complete gallery redesign with [ViewerJS](https://github.com/fengyuanchen/viewerjs) integration
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