gero
f68c1ff7a9
- Add AdvancedSeedGenerator node implementation with 4 generation modes - Include __init__.py with proper NODE_CLASS_MAPPINGS exports - Add pyproject.toml with registry metadata and dependencies - Include node icon and documentation images - Ready for ComfyUI Registry publication with comfy node publish
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
"""
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Advanced Seed Generator Node for ComfyUI
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-----------------------------------------
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An enhanced utility node that provides comprehensive seed generation
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for stable diffusion workflows. Supports multiple modes including
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fixed, random, increment, and decrement with robust error handling.
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Features:
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- Multiple seed generation modes (fixed, random, increment, decrement)
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- Cross-library synchronization (Python, NumPy, PyTorch)
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- Comprehensive error handling and input validation
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- Configurable logging for debugging
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- Persistent state management across executions
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- CUDA support with deterministic mode options
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Usage:
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1. Add the "Advanced Seed Generator" node to your workflow
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2. Connect it to nodes that require seed values (samplers, etc.)
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3. Choose your preferred generation mode
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4. Configure synchronization and deterministic options as needed
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"""
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__version__ = "2.2.0"
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__author__ = "Enhanced by Claude Code"
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from .random_seed_generator import AdvancedSeedGenerator, NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
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# Re-export the mappings from the main module
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# This ensures consistency and single source of truth
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# Module exports
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__all__ = [
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'NODE_CLASS_MAPPINGS',
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'NODE_DISPLAY_NAME_MAPPINGS',
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'AdvancedSeedGenerator'
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] |