ComfyUI-MiniCPM Update Log

V1.1.1 (2025-08-28)

Internationalization (i18n) Support: Added support for multiple languages, including EN, FR, JP, KO, RU, ZH.
Updated Example Workflows: Revised and expanded example workflows for improved clarity and usability.
Renaming of Custom Nodes: Enhanced organization and naming conventions for custom nodes to improve structure and readability.
Expanded Preset Prompts: Added additional preset prompts to increase flexibility and functionality.

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
Performance Improvements: Added hf_xet dependency for faster downloads
Model Priority: V4.5 models now appear first in dropdown menus

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

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

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

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