2.8 KiB
2.8 KiB
ComfyUI-MiniCPM Update Log
V1.1.0 (2025-08-27)
New Features
- MiniCPM-V-4.5 Model Support: Added comprehensive support for the latest MiniCPM-V-4.5 models
- New Transformers model:
MiniCPM-V-4.5(openbmb/MiniCPM-V-4_5) - Latest full precision version - New quantized model:
MiniCPM-V-4.5-int4(openbmb/MiniCPM-V-4_5-int4) - Memory-efficient 4-bit version
- New Transformers model:
- Performance Improvements: Added hf_xet dependency for faster downloads
- Model Priority: V4.5 models now appear first in dropdown menus
Changes
- V4.5 GGUF models temporarily disabled due to llama-cpp-python 3.16 compatibility
- Enhanced error messages for unsupported models
- Improved model ordering and descriptions
Usage Notes
- Recommended: Use MiniCPM-V-4.5 Transformers models for latest features and enhanced capabilities
- Alternative: Continue using MiniCPM-V-4.0 GGUF models (all quantizations available, see table above)
- Coming Soon: V4.5 GGUF support will be restored once llama-cpp-python compatibility is resolved
V1.0.0 (2025-08-25)
Initial Release
- MiniCPM-V-4 Transformers Support: Full integration with Hugging Face transformers models
- MiniCPM-V-4 full precision model
- MiniCPM-V-4-int4 quantized model
- MiniCPM-V-4 GGUF Support: Comprehensive GGUF model support via llama-cpp-python
- Multiple quantization levels (Q4_0 to Q8_0)
- Optimized memory usage and performance
- Dual Node Architecture:
- Basic nodes for simple usage
- Advanced nodes with full parameter control
- Image & Video Processing: Support for both image and video input processing

- Memory Management: Three modes - Keep in Memory, Clear After Run, Global Cache
- Caption Types: 14 different preset prompt types for various use cases
- Legacy Compatibility: Backward compatible node for existing workflows
Core Features
- Multi-Modal Processing: Image and video content understanding
- Flexible Parameters: Customizable temperature, top-p, top-k, repetition penalty
- Auto-Download: Automatic model downloading from Hugging Face
- Cross-Platform: Windows, macOS, and Linux support
- CUDA Acceleration: GPU acceleration support for faster inference
- System Prompts: Customizable system prompts for different use cases

