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Drift Johnson
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# ComfyUI-Zero2JSON
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**ZeroPrompt Integration for FLUX2-JSON** - Position-as-seed procedural text generation for structured prompt building.
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## Overview
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Zero2JSON provides shadow nodes that augment the FLUX2-JSON system with deterministic, profile-based procedural text generation. Each FLUX2-JSON input field receives a parallel ZeroPrompt node designed to generate contextually appropriate text.
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**Core Philosophy:** Not replace, but augment and extend - providing unparalleled precision in multi-dimensional orchestration of procedural prompt inputs with guardrails in the form of user curation.
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## Installation
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1. Clone or copy this folder to your ComfyUI `custom_nodes` directory
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2. Install requirements:
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```bash
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pip install -r requirements.txt
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```
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3. Restart ComfyUI
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## Node Categories
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### Subject Nodes (Zero2JSON/Subject)
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- 🎯 **Z2J Subject Description** - Generate detailed subject descriptions
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- 📍 **Z2J Subject Position** - Generate spatial positioning
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- 🏃 **Z2J Subject Action** - Generate dynamic actions
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- 🧘 **Z2J Subject Pose** - Generate static poses
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### Scene Nodes (Zero2JSON/Scene)
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- 🌍 **Z2J Scene** - Generate scene/environment descriptions
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- 🖼️ **Z2J Background** - Generate background descriptions
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### Style Nodes (Zero2JSON/Style)
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- 🎨 **Z2J Style** - Generate artistic style descriptions
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- 😊 **Z2J Mood** - Generate mood/atmosphere descriptions
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### Lighting Nodes (Zero2JSON/Lighting)
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- 💡 **Z2J Lighting** - Generate lighting setup descriptions
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### Camera Nodes (Zero2JSON/Camera)
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- 📐 **Z2J Camera Angle** - Generate camera angle descriptions
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- 📏 **Z2J Camera Distance** - Generate shot framing descriptions
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- 🔍 **Z2J Camera DoF** - Generate depth of field descriptions
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- 🎯 **Z2J Camera Focus** - Generate focus target descriptions
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### Composition Nodes (Zero2JSON/Composition)
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- 📐 **Z2J Composition** - Generate composition rule descriptions
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### Utility Nodes (Zero2JSON/Utility)
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- ℹ️ **Z2J Profile Info** - Display profile statistics
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- 📦 **Z2J Batch Generator** - Generate multiple prompts
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- 🔀 **Z2J Seed Mixer** - Combine multiple seeds
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## Common Inputs
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All generation nodes share these inputs:
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| Input | Type | Description |
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|-------|------|-------------|
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| `seed` | INT | World seed for deterministic generation (0 - 4294967295) |
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| `prompt_index` | INT | Position in infinite prompt space (0 - 4294967295) |
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| `profile` | DROPDOWN | Select vocabulary profile |
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| `prefix` | STRING | Text to prepend to generated prompt |
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| `suffix` | STRING | Text to append to generated prompt |
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## Profile System
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Profiles are JSON files in the `profiles/` directory that define vocabulary and templates:
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```json
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{
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"name": "Profile Name",
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"description": "What this profile generates",
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"version": "1.0.0",
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"templates": [
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"Template with {pool_a} and {pool_b}",
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"Another template: {pool_a}, {pool_b}"
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],
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"pools": {
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"pool_a": ["option1", "option2", "option3"],
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"pool_b": ["choice1", "choice2", "choice3"]
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}
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}
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```
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### Default Profiles
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| Profile | Node | Combinations |
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|---------|------|--------------|
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| `subject_description_default.json` | Z2J_SubjectDescription | ~31M |
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| `subject_position_default.json` | Z2J_SubjectPosition | ~7K |
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| `subject_action_default.json` | Z2J_SubjectAction | ~11K |
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| `subject_pose_default.json` | Z2J_SubjectPose | ~27K |
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| `scene_default.json` | Z2J_Scene | ~32K |
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| `background_default.json` | Z2J_Background | ~5K |
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| `style_default.json` | Z2J_Style | ~19K |
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| `mood_default.json` | Z2J_Mood | ~41K |
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| `lighting_default.json` | Z2J_Lighting | ~91K |
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| `composition_default.json` | Z2J_Composition | ~5K |
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| `camera_angle_default.json` | Z2J_CameraAngle | ~8K |
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| `camera_distance_default.json` | Z2J_CameraDistance | ~972 |
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| `camera_dof_default.json` | Z2J_CameraDoF | ~7K |
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| `camera_focus_default.json` | Z2J_CameraFocus | ~3K |
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## Workflow Integration
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Connect Zero2JSON nodes to FLUX2-JSON inputs:
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```
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[Z2J_SubjectDescription] → [FLUX2_SubjectCreator].description
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[Z2J_SubjectPosition] → [FLUX2_SubjectCreator].position
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[Z2J_SubjectAction] → [FLUX2_SubjectCreator].action
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[Z2J_Scene] → [FLUX2_PromptAssembler].scene
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[Z2J_Style] → [FLUX2_StyleSelector].custom_style
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[Z2J_Lighting] → [FLUX2_PromptAssembler].lighting
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[Z2J_CameraAngle] → [FLUX2_CameraRig].angle
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...
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```
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## Determinism Guarantee
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For any fixed `(seed, prompt_index, profile)`:
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- Same hash values are always computed
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- Same template is always selected
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- Same components are always chosen
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- Same output is always generated
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This holds across different machines, Python versions (3.7+), operating systems, and execution times.
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## Creating Custom Profiles
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1. Copy an existing profile from `profiles/`
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2. Rename with appropriate prefix (e.g., `subject_description_fantasy.json`)
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3. Modify templates and pools for your use case
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4. The node will automatically discover the new profile
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### Profile Naming Convention
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Profiles should follow the naming pattern: `{category}_{name}.json`
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- `subject_description_*.json` - Subject description nodes
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- `subject_position_*.json` - Subject position nodes
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- `scene_*.json` - Scene nodes
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- `style_*.json` - Style nodes
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- `lighting_*.json` - Lighting nodes
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- `camera_angle_*.json` - Camera angle nodes
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- etc.
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## Technical Details
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### Hash Function
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Uses xxhash32 for O(1) deterministic hashing:
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```
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prompt_hash(seed, prompt_idx, component_idx) → uint32
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```
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### Combination Calculation
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```
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total = len(templates) × Π(len(pool_i))
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```
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For example, a profile with 5 templates and 4 pools of sizes [10, 20, 15, 8] would have:
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```
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5 × 10 × 20 × 15 × 8 = 120,000 unique combinations
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```
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## License
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MIT License
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## Credits
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- Based on DJZ_ZeroPrompt methodology
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- Designed for integration with ComfyUI-FLUX2-JSON
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+2117
File diff suppressed because it is too large
Load Diff
+69
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"""
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Zero2JSON - ZeroPrompt Integration for FLUX2-JSON
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Position-as-seed procedural text generation for structured prompt building
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This package provides shadow nodes that augment FLUX2-JSON inputs
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with deterministic, profile-based procedural text generation.
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"""
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# Import all node modules
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from .nodes.subject_nodes import (
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NODE_CLASS_MAPPINGS as SUBJECT_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS as SUBJECT_DISPLAY_MAPPINGS,
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)
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from .nodes.scene_nodes import (
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NODE_CLASS_MAPPINGS as SCENE_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS as SCENE_DISPLAY_MAPPINGS,
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)
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from .nodes.style_nodes import (
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NODE_CLASS_MAPPINGS as STYLE_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS as STYLE_DISPLAY_MAPPINGS,
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)
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from .nodes.lighting_nodes import (
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NODE_CLASS_MAPPINGS as LIGHTING_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS as LIGHTING_DISPLAY_MAPPINGS,
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)
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from .nodes.camera_nodes import (
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NODE_CLASS_MAPPINGS as CAMERA_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS as CAMERA_DISPLAY_MAPPINGS,
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)
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from .nodes.composition_nodes import (
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NODE_CLASS_MAPPINGS as COMPOSITION_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS as COMPOSITION_DISPLAY_MAPPINGS,
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)
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from .nodes.utility_nodes import (
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NODE_CLASS_MAPPINGS as UTILITY_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS as UTILITY_DISPLAY_MAPPINGS,
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)
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# Merge all mappings
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NODE_CLASS_MAPPINGS = {
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**SUBJECT_MAPPINGS,
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**SCENE_MAPPINGS,
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**STYLE_MAPPINGS,
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**LIGHTING_MAPPINGS,
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**CAMERA_MAPPINGS,
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**COMPOSITION_MAPPINGS,
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**UTILITY_MAPPINGS,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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**SUBJECT_DISPLAY_MAPPINGS,
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**SCENE_DISPLAY_MAPPINGS,
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**STYLE_DISPLAY_MAPPINGS,
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**LIGHTING_DISPLAY_MAPPINGS,
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**CAMERA_DISPLAY_MAPPINGS,
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**COMPOSITION_DISPLAY_MAPPINGS,
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**UTILITY_DISPLAY_MAPPINGS,
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}
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# Package metadata
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__version__ = "1.0.0"
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__author__ = "Zero2JSON Team"
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__description__ = "ZeroPrompt Integration for FLUX2-JSON - Procedural Prompt Generation"
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# Exported symbols
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__all__ = [
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"NODE_CLASS_MAPPINGS",
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"NODE_DISPLAY_NAME_MAPPINGS",
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]
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@@ -0,0 +1,16 @@
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@echo off
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set "requirements_txt=%~dp0\requirements.txt"
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set "python_exec=..\..\..\python_embeded\python.exe"
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echo Installing node...
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if exist "%python_exec%" (
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echo Installing with ComfyUI Portable
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"%python_exec%" -s -m pip install -r "%requirements_txt%"
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) else (
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echo Installing with system Python
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pip install -r "%requirements_txt%"
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)
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pause
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@@ -0,0 +1 @@
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# Zero2JSON Nodes Package
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+280
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"""
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Zero2JSON Base Classes
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Position-as-seed procedural text generation for FLUX2-JSON integration
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"""
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import json
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import struct
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from pathlib import Path
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from typing import Dict, List, Optional, Any, Tuple
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import xxhash
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# ============================================================================
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# CONSTANTS
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# ============================================================================
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PROFILES_DIR = Path(__file__).parent.parent / "profiles"
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# ============================================================================
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# CORE HASH FUNCTIONS (Position-as-Seed Methodology)
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# ============================================================================
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def prompt_hash(seed: int, *coords: int) -> int:
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"""
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Pure O(1) hash from seed + arbitrary coordinate tuple.
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Uses xxhash32 for speed and cross-platform determinism.
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The coordinate system allows infinite unique hashes:
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- seed: World seed (global randomization)
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- coords: Position coordinates (prompt_idx, component_idx, etc.)
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Returns: Deterministic 32-bit integer
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"""
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h = xxhash.xxh32(seed=seed & 0xFFFFFFFF)
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h.update(struct.pack('<' + 'i' * len(coords), *coords))
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return h.intdigest()
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def hash_to_index(h: int, pool_size: int) -> int:
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"""Map hash to valid index in any pool."""
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return h % pool_size
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# ============================================================================
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# PROFILE MANAGEMENT
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# ============================================================================
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def get_profiles_dir() -> Path:
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"""Get the profiles directory path, creating if needed."""
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if not PROFILES_DIR.exists():
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PROFILES_DIR.mkdir(parents=True, exist_ok=True)
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return PROFILES_DIR
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def discover_profiles(prefix: str = "") -> List[str]:
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"""
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Discover all available JSON profiles, optionally filtered by prefix.
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Args:
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prefix: Optional prefix to filter profiles (e.g., "subject_")
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Returns:
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List of profile filenames (without path)
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"""
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profiles_dir = get_profiles_dir()
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if not profiles_dir.exists():
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return ["default.json"]
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pattern = f"{prefix}*.json" if prefix else "*.json"
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profiles = sorted([
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f.name for f in profiles_dir.glob(pattern)
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if f.is_file()
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])
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# Ensure default is first if it exists and matches prefix
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default_name = f"{prefix}default.json" if prefix else "default.json"
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if default_name in profiles:
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profiles.remove(default_name)
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profiles.insert(0, default_name)
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return profiles if profiles else ["default.json"]
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def load_profile(profile_name: str) -> Dict:
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"""
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Load and validate a JSON profile.
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Args:
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profile_name: Filename of the profile (e.g., "subject_description.json")
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Returns:
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Validated profile dictionary
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Raises:
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FileNotFoundError: If profile doesn't exist
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ValueError: If profile is missing required fields
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"""
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profiles_dir = get_profiles_dir()
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profile_path = profiles_dir / profile_name
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if not profile_path.exists():
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raise FileNotFoundError(f"Profile not found: {profile_name}")
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with open(profile_path, 'r', encoding='utf-8') as f:
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profile = json.load(f)
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# Validate required fields
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if 'templates' not in profile:
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raise ValueError(f"Profile {profile_name} missing 'templates' field")
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if 'pools' not in profile:
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raise ValueError(f"Profile {profile_name} missing 'pools' field")
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return profile
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def calculate_combinations(profile: Dict) -> int:
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"""Calculate total unique combinations for a profile."""
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total = len(profile.get('templates', []))
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for pool in profile.get('pools', {}).values():
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total *= len(pool)
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return total
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# ============================================================================
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# PROMPT GENERATION
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# ============================================================================
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def generate_prompt(seed: int, prompt_idx: int, profile: Dict) -> str:
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"""
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Generate a deterministic prompt from seed + index using profile vocabulary.
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Algorithm:
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1. Select template using coordinate 0
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2. For each pool (i), select component using coordinate i+1
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3. Format template with selected components
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Args:
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seed: World seed for global randomization
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prompt_idx: Position in infinite prompt space
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profile: Loaded profile dictionary with templates and pools
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Returns:
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Generated prompt string
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"""
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templates = profile['templates']
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pools = profile['pools']
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# Step 1: Select template
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template_hash = prompt_hash(seed, prompt_idx, 0)
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template = templates[hash_to_index(template_hash, len(templates))]
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# Step 2: Generate each component
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components = {}
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for i, (key, pool) in enumerate(pools.items()):
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component_hash = prompt_hash(seed, prompt_idx, i + 1)
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components[key] = pool[hash_to_index(component_hash, len(pool))]
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# Step 3: Format template with components
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try:
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return template.format(**components)
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except KeyError:
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# Graceful fallback if template references non-existent pool
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for key in pools.keys():
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template = template.replace(f"{{{key}}}", components.get(key, f"[{key}]"))
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return template
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# ============================================================================
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# BASE NODE CLASS
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# ============================================================================
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||||
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class Zero2JSONBaseNode:
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"""
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Base class for all Zero2JSON nodes.
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Provides common functionality for profile-based zeroprompt generation.
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"""
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# Class-level profile cache
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_profile_cache: Dict[str, Dict] = {}
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# Node metadata (override in subclasses)
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PROFILE_PREFIX = "" # e.g., "subject_", "camera_"
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DEFAULT_PROFILE = "default.json"
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NODE_DISPLAY_NAME = "Zero2JSON Base"
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@classmethod
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def INPUT_TYPES(cls):
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"""Define input types for ComfyUI."""
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profiles = discover_profiles(cls.PROFILE_PREFIX)
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return {
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"required": {
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"seed": ("INT", {
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"default": 0,
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"min": 0,
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||||
"max": 0xFFFFFFFF,
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||||
"tooltip": "World seed for deterministic generation"
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}),
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"prompt_index": ("INT", {
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"default": 0,
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"min": 0,
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"max": 0xFFFFFFFF,
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||||
"tooltip": "Position in infinite prompt space"
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}),
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},
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"optional": {
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"profile": (profiles, {
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||||
"default": profiles[0] if profiles else cls.DEFAULT_PROFILE,
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"tooltip": "Select vocabulary profile"
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}),
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||||
"prefix": ("STRING", {
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||||
"default": "",
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||||
"multiline": False,
|
||||
"tooltip": "Text to prepend to generated prompt"
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||||
}),
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||||
"suffix": ("STRING", {
|
||||
"default": "",
|
||||
"multiline": False,
|
||||
"tooltip": "Text to append to generated prompt"
|
||||
}),
|
||||
}
|
||||
}
|
||||
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||||
RETURN_TYPES = ("STRING",)
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||||
RETURN_NAMES = ("text",)
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||||
FUNCTION = "generate"
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||||
CATEGORY = "Zero2JSON"
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||||
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||||
def generate(
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||||
self,
|
||||
seed: int,
|
||||
prompt_index: int,
|
||||
profile: str = None,
|
||||
prefix: str = "",
|
||||
suffix: str = "",
|
||||
**kwargs # Accept additional subclass-specific inputs
|
||||
) -> Tuple[str]:
|
||||
"""
|
||||
Generate procedural text using position-as-seed methodology.
|
||||
|
||||
Args:
|
||||
seed: World seed
|
||||
prompt_index: Position in prompt space
|
||||
profile: Profile filename to use
|
||||
prefix: Optional prefix text
|
||||
suffix: Optional suffix text
|
||||
**kwargs: Additional subclass-specific inputs (ignored by base)
|
||||
|
||||
Returns:
|
||||
Tuple containing generated text string
|
||||
"""
|
||||
# Use default profile if none specified
|
||||
if profile is None:
|
||||
profile = self.DEFAULT_PROFILE
|
||||
|
||||
# Load profile (with caching)
|
||||
if profile not in self._profile_cache:
|
||||
try:
|
||||
self._profile_cache[profile] = load_profile(profile)
|
||||
except (FileNotFoundError, ValueError, json.JSONDecodeError) as e:
|
||||
return (f"[Error loading profile '{profile}': {str(e)}]",)
|
||||
|
||||
profile_data = self._profile_cache[profile]
|
||||
|
||||
# Generate prompt
|
||||
prompt = generate_prompt(seed, prompt_index, profile_data)
|
||||
|
||||
# Apply prefix/suffix
|
||||
if prefix or suffix:
|
||||
prompt = f"{prefix}{prompt}{suffix}"
|
||||
|
||||
return (prompt,)
|
||||
|
||||
@classmethod
|
||||
def IS_CHANGED(cls, seed: int, prompt_index: int, profile: str = None,
|
||||
prefix: str = "", suffix: str = "", **kwargs):
|
||||
"""Ensure node updates when inputs change."""
|
||||
profile_str = profile or cls.DEFAULT_PROFILE
|
||||
profile_hash = xxhash.xxh32(profile_str.encode()).intdigest()
|
||||
return prompt_hash(seed ^ profile_hash, prompt_index, 0)
|
||||
@@ -0,0 +1,122 @@
|
||||
"""
|
||||
Zero2JSON Camera Nodes
|
||||
Specialized nodes for generating FLUX2-JSON camera component descriptions
|
||||
"""
|
||||
|
||||
from .base import Zero2JSONBaseNode, discover_profiles
|
||||
|
||||
# ============================================================================
|
||||
# CAMERA ANGLE NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_CameraAngle(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate camera angle descriptions for FLUX2_CameraRig.
|
||||
|
||||
Outputs text suitable for the 'angle' field, describing
|
||||
camera positioning, tilt, and perspective.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "camera_angle_"
|
||||
DEFAULT_PROFILE = "camera_angle_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Camera Angle"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
base = super().INPUT_TYPES()
|
||||
base["optional"]["angle_type"] = (
|
||||
["any", "eye_level", "high", "low", "birds_eye", "worms_eye", "dutch"],
|
||||
{"default": "any", "tooltip": "Filter by angle type"}
|
||||
)
|
||||
return base
|
||||
|
||||
CATEGORY = "Zero2JSON/Camera"
|
||||
DESCRIPTION = "Generate camera angle descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# CAMERA DISTANCE NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_CameraDistance(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate camera distance/shot descriptions.
|
||||
|
||||
Outputs text suitable for custom_distance field, describing
|
||||
shot framing and subject-to-camera relationship.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "camera_distance_"
|
||||
DEFAULT_PROFILE = "camera_distance_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Camera Distance"
|
||||
|
||||
CATEGORY = "Zero2JSON/Camera"
|
||||
DESCRIPTION = "Generate camera distance descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# CAMERA DEPTH OF FIELD NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_CameraDoF(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate depth of field descriptions for FLUX2_CameraRig.
|
||||
|
||||
Outputs text suitable for the 'depth_of_field' field,
|
||||
describing focus planes, bokeh, and sharpness distribution.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "camera_dof_"
|
||||
DEFAULT_PROFILE = "camera_dof_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Camera DoF"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
base = super().INPUT_TYPES()
|
||||
base["optional"]["dof_style"] = (
|
||||
["any", "shallow", "moderate", "deep", "bokeh_heavy", "everything_sharp"],
|
||||
{"default": "any", "tooltip": "Depth of field style hint"}
|
||||
)
|
||||
return base
|
||||
|
||||
CATEGORY = "Zero2JSON/Camera"
|
||||
DESCRIPTION = "Generate depth of field descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# CAMERA FOCUS NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_CameraFocus(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate focus target descriptions for FLUX2_CameraRig.
|
||||
|
||||
Outputs text suitable for the 'focus' field, describing
|
||||
what elements are sharp and where attention is drawn.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "camera_focus_"
|
||||
DEFAULT_PROFILE = "camera_focus_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Camera Focus"
|
||||
|
||||
CATEGORY = "Zero2JSON/Camera"
|
||||
DESCRIPTION = "Generate focus descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# NODE REGISTRATION
|
||||
# ============================================================================
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"Z2J_CameraAngle": Z2J_CameraAngle,
|
||||
"Z2J_CameraDistance": Z2J_CameraDistance,
|
||||
"Z2J_CameraDoF": Z2J_CameraDoF,
|
||||
"Z2J_CameraFocus": Z2J_CameraFocus,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"Z2J_CameraAngle": "📐 Z2J Camera Angle",
|
||||
"Z2J_CameraDistance": "📏 Z2J Camera Distance",
|
||||
"Z2J_CameraDoF": "🔍 Z2J Camera DoF",
|
||||
"Z2J_CameraFocus": "🎯 Z2J Camera Focus",
|
||||
}
|
||||
@@ -0,0 +1,47 @@
|
||||
"""
|
||||
Zero2JSON Composition Nodes
|
||||
Specialized nodes for generating FLUX2-JSON composition descriptions
|
||||
"""
|
||||
|
||||
from .base import Zero2JSONBaseNode, discover_profiles
|
||||
|
||||
# ============================================================================
|
||||
# COMPOSITION NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_Composition(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate composition rule descriptions for the composition field.
|
||||
|
||||
Outputs text describing visual arrangement, rule of thirds,
|
||||
leading lines, framing, and compositional techniques.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "composition_"
|
||||
DEFAULT_PROFILE = "composition_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Composition"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
base = super().INPUT_TYPES()
|
||||
base["optional"]["composition_style"] = (
|
||||
["any", "rule_of_thirds", "centered", "diagonal", "symmetrical", "dynamic", "minimal"],
|
||||
{"default": "any", "tooltip": "Filter by composition style"}
|
||||
)
|
||||
return base
|
||||
|
||||
CATEGORY = "Zero2JSON/Composition"
|
||||
DESCRIPTION = "Generate composition descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# NODE REGISTRATION
|
||||
# ============================================================================
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"Z2J_Composition": Z2J_Composition,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"Z2J_Composition": "📐 Z2J Composition",
|
||||
}
|
||||
@@ -0,0 +1,51 @@
|
||||
"""
|
||||
Zero2JSON Lighting Nodes
|
||||
Specialized nodes for generating FLUX2-JSON lighting descriptions
|
||||
"""
|
||||
|
||||
from .base import Zero2JSONBaseNode, discover_profiles
|
||||
|
||||
# ============================================================================
|
||||
# LIGHTING NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_Lighting(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate lighting setup descriptions for the lighting field.
|
||||
|
||||
Outputs text describing light sources, quality, direction,
|
||||
color temperature, and overall illumination setup.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "lighting_"
|
||||
DEFAULT_PROFILE = "lighting_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Lighting"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
base = super().INPUT_TYPES()
|
||||
base["optional"]["lighting_type"] = (
|
||||
["any", "natural", "studio", "dramatic", "ambient", "neon", "candlelight"],
|
||||
{"default": "any", "tooltip": "Filter by lighting type"}
|
||||
)
|
||||
base["optional"]["lighting_mood"] = (
|
||||
["any", "bright", "dark", "moody", "soft", "harsh", "romantic"],
|
||||
{"default": "any", "tooltip": "Lighting mood hint"}
|
||||
)
|
||||
return base
|
||||
|
||||
CATEGORY = "Zero2JSON/Lighting"
|
||||
DESCRIPTION = "Generate lighting descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# NODE REGISTRATION
|
||||
# ============================================================================
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"Z2J_Lighting": Z2J_Lighting,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"Z2J_Lighting": "💡 Z2J Lighting",
|
||||
}
|
||||
@@ -0,0 +1,73 @@
|
||||
"""
|
||||
Zero2JSON Scene Nodes
|
||||
Specialized nodes for generating FLUX2-JSON scene and environment components
|
||||
"""
|
||||
|
||||
from .base import Zero2JSONBaseNode, discover_profiles
|
||||
|
||||
# ============================================================================
|
||||
# SCENE NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_Scene(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate scene/environment descriptions for FLUX2_SceneBuilder.
|
||||
|
||||
Outputs text suitable for the 'scene' field, including
|
||||
location, atmosphere, and environmental context.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "scene_"
|
||||
DEFAULT_PROFILE = "scene_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Scene"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
base = super().INPUT_TYPES()
|
||||
base["optional"]["scene_category"] = (
|
||||
["any", "interior", "exterior", "studio", "natural", "urban", "fantasy", "scifi"],
|
||||
{"default": "any", "tooltip": "Filter by scene category"}
|
||||
)
|
||||
base["optional"]["time_hint"] = (
|
||||
["any", "day", "night", "dawn", "dusk", "golden_hour", "blue_hour"],
|
||||
{"default": "any", "tooltip": "Time of day context hint"}
|
||||
)
|
||||
return base
|
||||
|
||||
CATEGORY = "Zero2JSON/Scene"
|
||||
DESCRIPTION = "Generate scene descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# BACKGROUND NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_Background(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate background descriptions for the background field.
|
||||
|
||||
Outputs text describing the backdrop, distant elements,
|
||||
and environmental details behind the main subjects.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "background_"
|
||||
DEFAULT_PROFILE = "background_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Background"
|
||||
|
||||
CATEGORY = "Zero2JSON/Scene"
|
||||
DESCRIPTION = "Generate background descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# NODE REGISTRATION
|
||||
# ============================================================================
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"Z2J_Scene": Z2J_Scene,
|
||||
"Z2J_Background": Z2J_Background,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"Z2J_Scene": "🌍 Z2J Scene",
|
||||
"Z2J_Background": "🖼️ Z2J Background",
|
||||
}
|
||||
@@ -0,0 +1,78 @@
|
||||
"""
|
||||
Zero2JSON Style Nodes
|
||||
Specialized nodes for generating FLUX2-JSON style and mood components
|
||||
"""
|
||||
|
||||
from .base import Zero2JSONBaseNode, discover_profiles
|
||||
|
||||
# ============================================================================
|
||||
# STYLE NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_Style(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate artistic style descriptions for FLUX2_StyleSelector.
|
||||
|
||||
Outputs text suitable for the 'style' field, including
|
||||
artistic medium, aesthetic approach, and rendering style.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "style_"
|
||||
DEFAULT_PROFILE = "style_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Style"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
base = super().INPUT_TYPES()
|
||||
base["optional"]["style_category"] = (
|
||||
["any", "photorealistic", "artistic", "cinematic", "anime", "illustration", "vintage"],
|
||||
{"default": "any", "tooltip": "Filter by style category"}
|
||||
)
|
||||
return base
|
||||
|
||||
CATEGORY = "Zero2JSON/Style"
|
||||
DESCRIPTION = "Generate style descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# MOOD NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_Mood(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate mood/atmosphere descriptions for the mood field.
|
||||
|
||||
Outputs text describing emotional tone, atmosphere,
|
||||
and psychological feeling of the image.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "mood_"
|
||||
DEFAULT_PROFILE = "mood_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Mood"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
base = super().INPUT_TYPES()
|
||||
base["optional"]["mood_valence"] = (
|
||||
["any", "positive", "negative", "neutral", "tense", "peaceful"],
|
||||
{"default": "any", "tooltip": "Emotional valence hint"}
|
||||
)
|
||||
return base
|
||||
|
||||
CATEGORY = "Zero2JSON/Style"
|
||||
DESCRIPTION = "Generate mood descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# NODE REGISTRATION
|
||||
# ============================================================================
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"Z2J_Style": Z2J_Style,
|
||||
"Z2J_Mood": Z2J_Mood,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"Z2J_Style": "🎨 Z2J Style",
|
||||
"Z2J_Mood": "😊 Z2J Mood",
|
||||
}
|
||||
@@ -0,0 +1,123 @@
|
||||
"""
|
||||
Zero2JSON Subject Nodes
|
||||
Specialized nodes for generating FLUX2-JSON subject components
|
||||
"""
|
||||
|
||||
from .base import Zero2JSONBaseNode, discover_profiles
|
||||
|
||||
# ============================================================================
|
||||
# SUBJECT DESCRIPTION NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_SubjectDescription(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate detailed subject descriptions for FLUX2_SubjectCreator.
|
||||
|
||||
Outputs text suitable for the 'description' field of subjects,
|
||||
including physical characteristics, materials, textures, and details.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "subject_description_"
|
||||
DEFAULT_PROFILE = "subject_description_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Subject Description"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
base = super().INPUT_TYPES()
|
||||
# Add subject-specific inputs
|
||||
base["optional"]["subject_type"] = (
|
||||
["any", "person", "character", "object", "creature", "vehicle", "architecture"],
|
||||
{"default": "any", "tooltip": "Filter generation by subject type"}
|
||||
)
|
||||
return base
|
||||
|
||||
CATEGORY = "Zero2JSON/Subject"
|
||||
DESCRIPTION = "Generate detailed subject descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# SUBJECT POSITION NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_SubjectPosition(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate spatial positioning descriptions for subjects.
|
||||
|
||||
Outputs text suitable for the 'position' field, combining
|
||||
horizontal, vertical, and depth positioning.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "subject_position_"
|
||||
DEFAULT_PROFILE = "subject_position_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Subject Position"
|
||||
|
||||
CATEGORY = "Zero2JSON/Subject"
|
||||
DESCRIPTION = "Generate subject position descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# SUBJECT ACTION NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_SubjectAction(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate dynamic action descriptions for subjects.
|
||||
|
||||
Outputs text suitable for the 'action' field, describing
|
||||
movement, activity, and dynamic states.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "subject_action_"
|
||||
DEFAULT_PROFILE = "subject_action_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Subject Action"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
base = super().INPUT_TYPES()
|
||||
base["optional"]["action_intensity"] = (
|
||||
["any", "subtle", "moderate", "dynamic", "extreme"],
|
||||
{"default": "any", "tooltip": "Control action intensity level"}
|
||||
)
|
||||
return base
|
||||
|
||||
CATEGORY = "Zero2JSON/Subject"
|
||||
DESCRIPTION = "Generate subject action descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# SUBJECT POSE NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_SubjectPose(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate static pose descriptions for subjects.
|
||||
|
||||
Outputs text suitable for the 'pose' field, describing
|
||||
body position, stance, and static configurations.
|
||||
"""
|
||||
|
||||
PROFILE_PREFIX = "subject_pose_"
|
||||
DEFAULT_PROFILE = "subject_pose_default.json"
|
||||
NODE_DISPLAY_NAME = "Z2J Subject Pose"
|
||||
|
||||
CATEGORY = "Zero2JSON/Subject"
|
||||
DESCRIPTION = "Generate subject pose descriptions using ZeroPrompt methodology"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# NODE REGISTRATION
|
||||
# ============================================================================
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"Z2J_SubjectDescription": Z2J_SubjectDescription,
|
||||
"Z2J_SubjectPosition": Z2J_SubjectPosition,
|
||||
"Z2J_SubjectAction": Z2J_SubjectAction,
|
||||
"Z2J_SubjectPose": Z2J_SubjectPose,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"Z2J_SubjectDescription": "🎯 Z2J Subject Description",
|
||||
"Z2J_SubjectPosition": "📍 Z2J Subject Position",
|
||||
"Z2J_SubjectAction": "🏃 Z2J Subject Action",
|
||||
"Z2J_SubjectPose": "🧘 Z2J Subject Pose",
|
||||
}
|
||||
@@ -0,0 +1,254 @@
|
||||
"""
|
||||
Zero2JSON Utility Nodes
|
||||
Profile information and management utilities
|
||||
"""
|
||||
|
||||
from typing import Tuple
|
||||
from .base import (
|
||||
Zero2JSONBaseNode,
|
||||
discover_profiles,
|
||||
load_profile,
|
||||
calculate_combinations,
|
||||
get_profiles_dir,
|
||||
prompt_hash
|
||||
)
|
||||
import xxhash
|
||||
|
||||
# ============================================================================
|
||||
# PROFILE INFO NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_ProfileInfo(Zero2JSONBaseNode):
|
||||
"""
|
||||
Display statistics and information about a Zero2JSON profile.
|
||||
|
||||
Useful for debugging and understanding profile capabilities.
|
||||
"""
|
||||
|
||||
NODE_DISPLAY_NAME = "Z2J Profile Info"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
profiles = discover_profiles()
|
||||
return {
|
||||
"required": {
|
||||
"profile": (profiles, {
|
||||
"default": profiles[0] if profiles else "default.json",
|
||||
}),
|
||||
}
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("STRING", "INT")
|
||||
RETURN_NAMES = ("info", "total_combinations")
|
||||
FUNCTION = "get_info"
|
||||
CATEGORY = "Zero2JSON/Utility"
|
||||
DESCRIPTION = "Display profile statistics and information"
|
||||
|
||||
def get_info(self, profile: str) -> Tuple[str, int]:
|
||||
"""Get profile information as formatted string."""
|
||||
try:
|
||||
profile_data = load_profile(profile)
|
||||
except Exception as e:
|
||||
return (f"Error loading profile: {e}", 0)
|
||||
|
||||
lines = [
|
||||
f"Profile: {profile_data.get('name', profile)}",
|
||||
f"Description: {profile_data.get('description', 'N/A')}",
|
||||
f"Version: {profile_data.get('version', 'N/A')}",
|
||||
"",
|
||||
"Pool Sizes:",
|
||||
]
|
||||
|
||||
for pool_name, pool_items in profile_data.get('pools', {}).items():
|
||||
lines.append(f" {pool_name}: {len(pool_items)} entries")
|
||||
|
||||
lines.append(f" templates: {len(profile_data.get('templates', []))} variations")
|
||||
lines.append("")
|
||||
|
||||
total = calculate_combinations(profile_data)
|
||||
lines.append(f"Total unique prompts: {total:,}")
|
||||
lines.append(f"Scientific notation: {total:.2e}")
|
||||
|
||||
return ("\n".join(lines), total)
|
||||
|
||||
@classmethod
|
||||
def IS_CHANGED(cls, profile: str):
|
||||
"""Check if profile file has changed."""
|
||||
profile_path = get_profiles_dir() / profile
|
||||
if profile_path.exists():
|
||||
return profile_path.stat().st_mtime
|
||||
return 0
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# BATCH GENERATOR NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_BatchGenerator(Zero2JSONBaseNode):
|
||||
"""
|
||||
Generate multiple prompts in sequence for batch processing.
|
||||
|
||||
Useful for creating variations or exploring prompt space.
|
||||
"""
|
||||
|
||||
NODE_DISPLAY_NAME = "Z2J Batch Generator"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
profiles = discover_profiles()
|
||||
return {
|
||||
"required": {
|
||||
"seed": ("INT", {
|
||||
"default": 0,
|
||||
"min": 0,
|
||||
"max": 0xFFFFFFFF,
|
||||
}),
|
||||
"start_index": ("INT", {
|
||||
"default": 0,
|
||||
"min": 0,
|
||||
"max": 0xFFFFFFFF,
|
||||
}),
|
||||
"count": ("INT", {
|
||||
"default": 4,
|
||||
"min": 1,
|
||||
"max": 100,
|
||||
"tooltip": "Number of prompts to generate"
|
||||
}),
|
||||
},
|
||||
"optional": {
|
||||
"profile": (profiles, {
|
||||
"default": profiles[0] if profiles else "default.json",
|
||||
}),
|
||||
"separator": ("STRING", {
|
||||
"default": "\n---\n",
|
||||
"multiline": False,
|
||||
"tooltip": "Separator between prompts"
|
||||
}),
|
||||
}
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("STRING", "STRING")
|
||||
RETURN_NAMES = ("batch_text", "prompts_list")
|
||||
FUNCTION = "generate_batch"
|
||||
CATEGORY = "Zero2JSON/Utility"
|
||||
DESCRIPTION = "Generate multiple prompts in sequence"
|
||||
|
||||
def generate_batch(
|
||||
self,
|
||||
seed: int,
|
||||
start_index: int,
|
||||
count: int,
|
||||
profile: str = "default.json",
|
||||
separator: str = "\n---\n"
|
||||
) -> Tuple[str, str]:
|
||||
"""Generate multiple prompts."""
|
||||
from .base import generate_prompt, load_profile
|
||||
|
||||
try:
|
||||
profile_data = load_profile(profile)
|
||||
except Exception as e:
|
||||
return (f"Error: {e}", "[]")
|
||||
|
||||
prompts = []
|
||||
for i in range(count):
|
||||
prompt = generate_prompt(seed, start_index + i, profile_data)
|
||||
prompts.append(prompt)
|
||||
|
||||
batch_text = separator.join(prompts)
|
||||
prompts_list = "\n".join([f"[{i}] {p}" for i, p in enumerate(prompts)])
|
||||
|
||||
return (batch_text, prompts_list)
|
||||
|
||||
@classmethod
|
||||
def IS_CHANGED(cls, seed: int, start_index: int, count: int,
|
||||
profile: str = "default.json", separator: str = "\n---\n"):
|
||||
profile_hash = xxhash.xxh32(profile.encode()).intdigest()
|
||||
return prompt_hash(seed ^ profile_hash, start_index, count)
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# SEED MIXER NODE
|
||||
# ============================================================================
|
||||
|
||||
class Z2J_SeedMixer(Zero2JSONBaseNode):
|
||||
"""
|
||||
Combine multiple seeds into a single deterministic seed.
|
||||
|
||||
Useful for creating compound seeds from multiple sources.
|
||||
"""
|
||||
|
||||
NODE_DISPLAY_NAME = "Z2J Seed Mixer"
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
return {
|
||||
"required": {
|
||||
"seed_1": ("INT", {
|
||||
"default": 0,
|
||||
"min": 0,
|
||||
"max": 0xFFFFFFFF,
|
||||
}),
|
||||
},
|
||||
"optional": {
|
||||
"seed_2": ("INT", {
|
||||
"default": 0,
|
||||
"min": 0,
|
||||
"max": 0xFFFFFFFF,
|
||||
}),
|
||||
"seed_3": ("INT", {
|
||||
"default": 0,
|
||||
"min": 0,
|
||||
"max": 0xFFFFFFFF,
|
||||
}),
|
||||
"seed_4": ("INT", {
|
||||
"default": 0,
|
||||
"min": 0,
|
||||
"max": 0xFFFFFFFF,
|
||||
}),
|
||||
}
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("INT",)
|
||||
RETURN_NAMES = ("mixed_seed",)
|
||||
FUNCTION = "mix_seeds"
|
||||
CATEGORY = "Zero2JSON/Utility"
|
||||
DESCRIPTION = "Combine multiple seeds into one"
|
||||
|
||||
def mix_seeds(
|
||||
self,
|
||||
seed_1: int,
|
||||
seed_2: int = 0,
|
||||
seed_3: int = 0,
|
||||
seed_4: int = 0
|
||||
) -> Tuple[int]:
|
||||
"""Mix seeds using xxhash."""
|
||||
h = xxhash.xxh32()
|
||||
h.update(seed_1.to_bytes(4, 'little'))
|
||||
h.update(seed_2.to_bytes(4, 'little'))
|
||||
h.update(seed_3.to_bytes(4, 'little'))
|
||||
h.update(seed_4.to_bytes(4, 'little'))
|
||||
return (h.intdigest(),)
|
||||
|
||||
@classmethod
|
||||
def IS_CHANGED(cls, seed_1: int, seed_2: int = 0, seed_3: int = 0, seed_4: int = 0):
|
||||
h = xxhash.xxh32()
|
||||
h.update(seed_1.to_bytes(4, 'little'))
|
||||
h.update(seed_2.to_bytes(4, 'little'))
|
||||
return h.intdigest()
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# NODE REGISTRATION
|
||||
# ============================================================================
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"Z2J_ProfileInfo": Z2J_ProfileInfo,
|
||||
"Z2J_BatchGenerator": Z2J_BatchGenerator,
|
||||
"Z2J_SeedMixer": Z2J_SeedMixer,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"Z2J_ProfileInfo": "ℹ️ Z2J Profile Info",
|
||||
"Z2J_BatchGenerator": "📦 Z2J Batch Generator",
|
||||
"Z2J_SeedMixer": "🔀 Z2J Seed Mixer",
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"name": "Background Default",
|
||||
"description": "Background and backdrop descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{surface} with {detail}, {blur_quality}",
|
||||
"{blur_quality} {surface}, {detail}",
|
||||
"{surface} featuring {detail}, rendered {blur_quality}",
|
||||
"{detail} on {surface}, {blur_quality}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"surface": [
|
||||
"seamless white backdrop", "gray gradient background", "black void",
|
||||
"textured wall", "brick surface", "concrete backdrop",
|
||||
"wooden panels", "fabric drape", "paper backdrop",
|
||||
"natural foliage", "urban architecture", "sky gradient",
|
||||
"bokeh light pattern", "abstract shapes", "geometric pattern"
|
||||
],
|
||||
"detail": [
|
||||
"subtle texture variation", "visible grain pattern", "smooth gradient",
|
||||
"shadow play", "light leaks", "color spots",
|
||||
"dust particles", "lens artifacts", "reflection points",
|
||||
"organic shapes", "architectural lines", "natural elements"
|
||||
],
|
||||
"blur_quality": [
|
||||
"crisp and sharp throughout", "slightly soft focus",
|
||||
"moderately blurred", "heavily defocused",
|
||||
"creamy bokeh effect", "busy bokeh pattern",
|
||||
"gradual focus falloff", "abrupt focus transition",
|
||||
"painterly soft blur", "cinematic shallow depth"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,34 @@
|
||||
{
|
||||
"name": "Camera Angle Default",
|
||||
"description": "Camera angle and perspective descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{vertical_angle} with {horizontal_angle}, {movement}",
|
||||
"{horizontal_angle} {vertical_angle}, {perspective}",
|
||||
"{movement} {vertical_angle}, {perspective}",
|
||||
"{perspective} from {vertical_angle}, {horizontal_angle}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"vertical_angle": [
|
||||
"eye level shot", "slightly elevated angle", "high angle looking down",
|
||||
"low angle looking up", "bird's eye view", "worm's eye view",
|
||||
"overhead shot", "ground level perspective", "aerial view"
|
||||
],
|
||||
"horizontal_angle": [
|
||||
"straight on front view", "three-quarter angle", "profile side view",
|
||||
"rear three-quarter", "over the shoulder", "point of view shot"
|
||||
],
|
||||
"movement": [
|
||||
"static locked position", "subtle drift", "smooth tracking",
|
||||
"handheld documentary feel", "crane movement", "dolly push",
|
||||
"orbit around subject", "tilt reveal", "pan across scene"
|
||||
],
|
||||
"perspective": [
|
||||
"natural perspective", "forced perspective", "extreme foreshortening",
|
||||
"telephoto compression", "wide angle distortion", "fisheye curvature",
|
||||
"tilt-shift miniature effect", "anamorphic stretch", "standard rectilinear"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"name": "Camera Distance Default",
|
||||
"description": "Camera distance and shot framing descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{shot_type}, {framing}",
|
||||
"{framing} {shot_type}",
|
||||
"{shot_type} with {detail}",
|
||||
"{detail}, {shot_type}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"shot_type": [
|
||||
"extreme close-up", "close-up shot", "medium close-up",
|
||||
"medium shot", "medium full shot", "full shot",
|
||||
"wide shot", "extreme wide shot", "establishing shot"
|
||||
],
|
||||
"framing": [
|
||||
"tight framing", "loose framing", "balanced framing",
|
||||
"off-center framing", "headroom heavy", "lead room emphasized",
|
||||
"cropped composition", "full frame utilization", "negative space heavy"
|
||||
],
|
||||
"detail": [
|
||||
"capturing fine details", "showing full context", "emphasizing scale",
|
||||
"isolating the subject", "relating to environment", "creating intimacy",
|
||||
"establishing geography", "revealing relationships", "focusing on expression"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"name": "Camera Depth of Field Default",
|
||||
"description": "Depth of field and focus plane descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{dof_type} with {bokeh}, {transition}",
|
||||
"{bokeh} {dof_type}, {plane_description}",
|
||||
"{plane_description}, {dof_type}, {bokeh}",
|
||||
"{transition} {dof_type} creating {bokeh}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"dof_type": [
|
||||
"extremely shallow depth of field", "shallow depth of field",
|
||||
"moderate depth of field", "deep depth of field",
|
||||
"infinite depth of field", "selective focus",
|
||||
"split focus", "rack focus transition", "zone focus"
|
||||
],
|
||||
"bokeh": [
|
||||
"creamy smooth bokeh", "busy nervous bokeh", "circular bokeh shapes",
|
||||
"hexagonal bokeh pattern", "swirly bokeh effect", "soap bubble bokeh",
|
||||
"cat's eye bokeh", "harsh bokeh edges", "soft feathered bokeh"
|
||||
],
|
||||
"transition": [
|
||||
"gradual falloff", "abrupt focus edge", "smooth gradient",
|
||||
"stepped focus planes", "continuous sharpness change", "dramatic separation"
|
||||
],
|
||||
"plane_description": [
|
||||
"single plane in focus", "multiple planes sharp", "foreground soft background sharp",
|
||||
"subject isolated from background", "everything acceptably sharp",
|
||||
"thin slice of focus", "deep zone of sharpness", "selective critical focus"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,32 @@
|
||||
{
|
||||
"name": "Camera Focus Default",
|
||||
"description": "Focus target and attention descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{focus_target}, {sharpness}, {attention}",
|
||||
"{sharpness} on {focus_target}, {attention}",
|
||||
"{attention} with {focus_target} {sharpness}",
|
||||
"{focus_target} rendered {sharpness}, {attention}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"focus_target": [
|
||||
"sharp focus on eyes", "focus on face", "focus on hands",
|
||||
"focus on main subject", "focus on foreground element", "focus on background detail",
|
||||
"focus on product", "focus on texture", "focus on reflection",
|
||||
"focus on edge detail", "focus on center of interest", "focus on action point"
|
||||
],
|
||||
"sharpness": [
|
||||
"tack sharp", "critically sharp", "acceptably sharp",
|
||||
"slightly soft", "intentionally soft", "razor sharp",
|
||||
"pin sharp", "dreamy soft", "clinical sharpness"
|
||||
],
|
||||
"attention": [
|
||||
"drawing the eye immediately", "guiding viewer attention",
|
||||
"creating focal hierarchy", "establishing visual priority",
|
||||
"emphasizing the subject", "directing the gaze",
|
||||
"anchoring the composition", "highlighting key elements"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"name": "Composition Default",
|
||||
"description": "Visual composition and arrangement descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{rule} with {element}, creating {effect}",
|
||||
"{element} following {rule}, {effect}",
|
||||
"{effect} achieved through {rule} and {element}",
|
||||
"{rule}, {element}, resulting in {effect}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"rule": [
|
||||
"rule of thirds placement", "golden ratio composition", "centered symmetry",
|
||||
"diagonal composition", "triangular arrangement", "S-curve flow",
|
||||
"L-shaped framing", "frame within frame", "leading lines",
|
||||
"radial composition", "grid alignment", "asymmetrical balance"
|
||||
],
|
||||
"element": [
|
||||
"strong foreground interest", "layered depth planes", "negative space emphasis",
|
||||
"pattern repetition", "contrast of scale", "color blocking",
|
||||
"texture juxtaposition", "shape relationships", "tonal gradients",
|
||||
"visual weight distribution", "directional flow", "focal point hierarchy"
|
||||
],
|
||||
"effect": [
|
||||
"visual harmony", "dynamic tension", "stable balance",
|
||||
"dramatic impact", "subtle elegance", "bold statement",
|
||||
"quiet contemplation", "energetic movement", "peaceful stillness",
|
||||
"narrative depth", "emotional resonance", "aesthetic pleasure"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,44 @@
|
||||
{
|
||||
"name": "Lighting Default",
|
||||
"description": "Comprehensive lighting setup descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{source} providing {quality}, {direction}, {color_temp}",
|
||||
"{quality} {source}, {direction}, creating {mood}",
|
||||
"{direction} {source} with {quality}, {color_temp}",
|
||||
"{mood} atmosphere from {source}, {quality}, {direction}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"source": [
|
||||
"natural sunlight", "overcast skylight", "window light",
|
||||
"studio strobe", "continuous LED", "softbox lighting",
|
||||
"ring light", "beauty dish", "umbrella diffusion",
|
||||
"practical lamps", "neon signs", "candlelight",
|
||||
"firelight", "moonlight", "mixed ambient sources"
|
||||
],
|
||||
"quality": [
|
||||
"soft diffused light", "hard directional light", "dappled light",
|
||||
"even flat lighting", "dramatic contrast", "gentle gradients",
|
||||
"specular highlights", "broad soft shadows", "deep dark shadows",
|
||||
"rim lighting effect", "fill light balance", "key light dominance"
|
||||
],
|
||||
"direction": [
|
||||
"from above", "from below", "from the side",
|
||||
"three-quarter front", "backlit silhouette", "front lit flat",
|
||||
"split lighting", "Rembrandt lighting", "butterfly lighting",
|
||||
"loop lighting", "broad lighting", "short lighting"
|
||||
],
|
||||
"color_temp": [
|
||||
"warm golden tones", "cool blue cast", "neutral daylight",
|
||||
"tungsten orange warmth", "fluorescent green tint", "mixed color temperatures",
|
||||
"sunset warm palette", "shade blue coolness", "candlelight amber"
|
||||
],
|
||||
"mood": [
|
||||
"mysterious", "cheerful", "dramatic",
|
||||
"romantic", "clinical", "cozy",
|
||||
"ethereal", "intense", "peaceful"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,41 @@
|
||||
{
|
||||
"name": "Mood Default",
|
||||
"description": "Emotional atmosphere and mood descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{emotion} atmosphere, {intensity}, {descriptor}",
|
||||
"{intensity} {emotion} mood with {descriptor}",
|
||||
"{descriptor}, creating {emotion} {intensity} feeling",
|
||||
"{emotion} and {secondary_emotion}, {descriptor}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"emotion": [
|
||||
"serene", "peaceful", "calm", "tranquil",
|
||||
"joyful", "cheerful", "playful", "whimsical",
|
||||
"dramatic", "intense", "powerful", "bold",
|
||||
"melancholic", "somber", "wistful", "nostalgic",
|
||||
"mysterious", "enigmatic", "ethereal", "dreamlike",
|
||||
"tense", "suspenseful", "ominous", "foreboding"
|
||||
],
|
||||
"secondary_emotion": [
|
||||
"hopeful", "longing", "contemplative", "reflective",
|
||||
"energetic", "dynamic", "restless", "anticipatory",
|
||||
"intimate", "vulnerable", "raw", "authentic"
|
||||
],
|
||||
"intensity": [
|
||||
"subtly", "gently", "softly",
|
||||
"moderately", "noticeably", "clearly",
|
||||
"strongly", "intensely", "overwhelmingly",
|
||||
"quietly", "loudly", "profoundly"
|
||||
],
|
||||
"descriptor": [
|
||||
"permeating every element", "underlying the composition",
|
||||
"evident in the lighting", "reflected in the colors",
|
||||
"expressed through texture", "conveyed by the subjects",
|
||||
"enhanced by the setting", "amplified by contrast",
|
||||
"suggested by negative space", "reinforced by symmetry"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,41 @@
|
||||
{
|
||||
"name": "Scene Default",
|
||||
"description": "Comprehensive scene and environment descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{location}, {time_context}, {weather_atmosphere}",
|
||||
"{location} during {time_context}, {ambient_detail}",
|
||||
"{weather_atmosphere} {location}, {ambient_detail}",
|
||||
"{location} with {ambient_detail}, {time_context}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"location": [
|
||||
"professional photography studio", "white seamless backdrop studio",
|
||||
"modern minimalist interior", "cozy living room", "industrial loft",
|
||||
"busy city street", "quiet suburban neighborhood", "urban rooftop",
|
||||
"dense forest clearing", "sandy beach shoreline", "mountain peak",
|
||||
"ancient temple ruins", "medieval castle courtyard", "futuristic cityscape",
|
||||
"underwater coral reef", "alien planet surface", "space station interior"
|
||||
],
|
||||
"time_context": [
|
||||
"morning golden hour", "bright midday sun", "afternoon warmth",
|
||||
"golden hour sunset", "blue hour twilight", "deep night darkness",
|
||||
"overcast daylight", "stormy afternoon", "misty dawn",
|
||||
"starlit night", "moonlit evening", "artificial lighting"
|
||||
],
|
||||
"weather_atmosphere": [
|
||||
"clear skies", "partly cloudy", "overcast gray",
|
||||
"light rain falling", "heavy downpour", "gentle snow",
|
||||
"thick fog", "morning mist", "dust in the air",
|
||||
"humid tropical", "dry desert heat", "crisp autumn air"
|
||||
],
|
||||
"ambient_detail": [
|
||||
"dappled light through leaves", "reflections on wet surfaces",
|
||||
"dust particles in light beams", "steam rising from ground",
|
||||
"wind-blown debris", "falling leaves", "fireflies glowing",
|
||||
"neon signs reflecting", "car headlights streaking", "candlelight flickering"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,39 @@
|
||||
{
|
||||
"name": "Style Default",
|
||||
"description": "Artistic and photographic style descriptions",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{medium} style, {technique}, {quality}",
|
||||
"{aesthetic} {medium}, {technique}",
|
||||
"{technique} with {aesthetic} approach, {quality}",
|
||||
"{quality} {medium}, {aesthetic}, {technique}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"medium": [
|
||||
"photography", "digital photography", "film photography",
|
||||
"oil painting", "watercolor", "acrylic painting",
|
||||
"digital illustration", "concept art", "3D rendering",
|
||||
"pencil sketch", "charcoal drawing", "ink illustration",
|
||||
"mixed media", "collage art", "vector graphics"
|
||||
],
|
||||
"technique": [
|
||||
"high contrast processing", "soft diffused look", "sharp detail emphasis",
|
||||
"selective focus technique", "long exposure blur", "HDR processing",
|
||||
"cross-processing effect", "desaturated palette", "vibrant saturation",
|
||||
"film grain texture", "lens flare effects", "motion blur"
|
||||
],
|
||||
"aesthetic": [
|
||||
"minimalist", "maximalist", "vintage", "modern",
|
||||
"retro", "futuristic", "classical", "contemporary",
|
||||
"romantic", "gritty", "ethereal", "raw",
|
||||
"polished", "organic", "geometric", "surreal"
|
||||
],
|
||||
"quality": [
|
||||
"professional grade", "commercial quality", "editorial standard",
|
||||
"fine art caliber", "gallery worthy", "museum quality",
|
||||
"publication ready", "award-winning caliber", "masterpiece level"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,41 @@
|
||||
{
|
||||
"name": "Subject Action Default",
|
||||
"description": "Dynamic action descriptions for subjects in motion",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{verb} {direction}, {modifier}",
|
||||
"{modifier} {verb} {direction}",
|
||||
"{verb} with {quality}, {direction}",
|
||||
"{direction}, {verb} {modifier}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"verb": [
|
||||
"walking", "running", "sprinting", "jogging",
|
||||
"standing", "sitting", "crouching", "kneeling",
|
||||
"jumping", "leaping", "falling", "diving",
|
||||
"reaching", "grasping", "pointing", "gesturing",
|
||||
"turning", "spinning", "twisting", "pivoting",
|
||||
"climbing", "descending", "ascending", "floating"
|
||||
],
|
||||
"direction": [
|
||||
"toward the camera", "away from the camera",
|
||||
"to the left", "to the right",
|
||||
"upward", "downward", "diagonally",
|
||||
"across the frame", "through the scene",
|
||||
"into the light", "into shadow"
|
||||
],
|
||||
"modifier": [
|
||||
"with purpose", "hesitantly", "confidently",
|
||||
"gracefully", "awkwardly", "smoothly",
|
||||
"rapidly", "slowly", "deliberately",
|
||||
"casually", "intensely", "playfully"
|
||||
],
|
||||
"quality": [
|
||||
"fluid motion", "sharp movement", "gentle pace",
|
||||
"explosive energy", "controlled power", "relaxed ease",
|
||||
"urgent speed", "measured steps", "natural rhythm"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,55 @@
|
||||
{
|
||||
"name": "Subject Description Default",
|
||||
"description": "Comprehensive subject descriptions for photography and illustration",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{subject_type} with {detail_1}, {detail_2}, {texture}",
|
||||
"{adjective} {subject_type}, {detail_1} and {detail_2}, {texture}",
|
||||
"{subject_type} featuring {detail_1}, {texture}, {quality}",
|
||||
"{adjective} {subject_type} with {texture} and {detail_2}",
|
||||
"{subject_type}, {detail_1}, {detail_2}, with {texture} {quality}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"subject_type": [
|
||||
"a young woman", "a middle-aged man", "an elderly person",
|
||||
"a child", "a teenager", "a professional",
|
||||
"a ceramic vase", "a wooden sculpture", "a glass bottle",
|
||||
"a leather bag", "a metal watch", "a vintage camera",
|
||||
"a sports car", "a motorcycle", "a bicycle",
|
||||
"a majestic dragon", "a phoenix", "a mystical creature",
|
||||
"a robot", "an android", "a cyborg",
|
||||
"a medieval knight", "a samurai warrior", "a viking",
|
||||
"a detective", "an astronaut", "a scientist"
|
||||
],
|
||||
"adjective": [
|
||||
"elegant", "rugged", "minimalist", "ornate", "weathered",
|
||||
"pristine", "vintage", "modern", "classic", "futuristic",
|
||||
"delicate", "robust", "sleek", "textured", "polished"
|
||||
],
|
||||
"detail_1": [
|
||||
"intricate patterns", "fine craftsmanship", "subtle imperfections",
|
||||
"visible wear marks", "polished surfaces", "matte finish",
|
||||
"hand-painted details", "laser-etched markings", "natural grain",
|
||||
"geometric shapes", "organic curves", "sharp edges"
|
||||
],
|
||||
"detail_2": [
|
||||
"reflective highlights", "soft shadows", "color gradients",
|
||||
"metallic accents", "wooden inlays", "fabric textures",
|
||||
"leather stitching", "glass elements", "stone components",
|
||||
"chrome details", "brass fixtures", "copper patina"
|
||||
],
|
||||
"texture": [
|
||||
"smooth matte surface", "rough natural texture", "glossy finish",
|
||||
"brushed metal appearance", "soft fabric feel", "worn leather look",
|
||||
"polished stone surface", "frosted glass effect", "velvet softness",
|
||||
"gritty sandpaper texture", "silk-like smoothness", "coarse weave"
|
||||
],
|
||||
"quality": [
|
||||
"exceptional detail", "museum quality", "artisan crafted",
|
||||
"mass-produced precision", "handmade character", "industrial finish",
|
||||
"boutique quality", "professional grade", "studio quality"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,39 @@
|
||||
{
|
||||
"name": "Subject Pose Default",
|
||||
"description": "Static pose descriptions for subject positioning",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{body_position}, {arm_position}, {expression}",
|
||||
"{body_position} with {arm_position}, {head_position}",
|
||||
"{expression}, {body_position}, {arm_position}",
|
||||
"{head_position}, {body_position}, {expression}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"body_position": [
|
||||
"standing upright", "standing relaxed", "standing at attention",
|
||||
"sitting comfortably", "sitting formally", "sitting casually",
|
||||
"leaning against wall", "leaning forward", "leaning back",
|
||||
"crouching low", "kneeling down", "lying prone"
|
||||
],
|
||||
"arm_position": [
|
||||
"arms at sides", "arms crossed", "arms behind back",
|
||||
"one hand on hip", "hands in pockets", "arms outstretched",
|
||||
"hands clasped", "arms raised", "one arm extended",
|
||||
"hands folded", "arms akimbo", "hands together"
|
||||
],
|
||||
"head_position": [
|
||||
"head tilted slightly", "chin raised", "chin lowered",
|
||||
"looking straight ahead", "profile view", "three-quarter view",
|
||||
"head turned left", "head turned right", "looking down",
|
||||
"looking up", "eyes closed", "gazing into distance"
|
||||
],
|
||||
"expression": [
|
||||
"neutral expression", "subtle smile", "serious demeanor",
|
||||
"contemplative look", "confident stance", "relaxed appearance",
|
||||
"focused intensity", "gentle warmth", "mysterious air",
|
||||
"commanding presence", "approachable manner", "stoic composure"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,34 @@
|
||||
{
|
||||
"name": "Subject Position Default",
|
||||
"description": "Spatial positioning descriptions for subject placement",
|
||||
"version": "1.0.0",
|
||||
|
||||
"templates": [
|
||||
"{horizontal} of frame, {vertical}, {depth}",
|
||||
"positioned {horizontal}, {vertical} section, in the {depth}",
|
||||
"{depth}, {horizontal}, {vertical}",
|
||||
"{vertical}, {horizontal}, occupying the {depth}"
|
||||
],
|
||||
|
||||
"pools": {
|
||||
"horizontal": [
|
||||
"far left", "left side", "left of center",
|
||||
"center", "dead center", "centered",
|
||||
"right of center", "right side", "far right",
|
||||
"off-center left", "off-center right", "slightly left",
|
||||
"slightly right", "extreme left edge", "extreme right edge"
|
||||
],
|
||||
"vertical": [
|
||||
"top", "upper third", "upper section",
|
||||
"middle", "center vertical", "eye level",
|
||||
"lower third", "bottom section", "bottom",
|
||||
"above center", "below center", "ground level"
|
||||
],
|
||||
"depth": [
|
||||
"foreground", "immediate foreground", "front plane",
|
||||
"midground", "middle distance", "central plane",
|
||||
"background", "distant background", "far plane",
|
||||
"between foreground and midground", "between midground and background"
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1 @@
|
||||
xxhash>=3.0.0
|
||||
Reference in New Issue
Block a user