Metadata-Version: 2.1
Name: comfyui-localllmnodes
Version: 0.1.0
Summary: Run local LLMs in ComfyUI and generate Flux Kontext.dev prompts from simple English descriptions
Home-page: https://github.com/kmlbdh/ComfyUI_LocalLLMNodes
Requires-Python: >=3.10
Requires-Dist: # Core dependencies for Hugging Face transformers based nodes (e.g., Hermes-2-Pro-Llama-3-8B)
Requires-Dist: transformers>=4.38.0 # Or a specific version you know works
Requires-Dist: # Optional, for quantization with transformers (e.g., 4-bit)
Requires-Dist: # bitsandbytes # Uncomment if you use BitsAndBytesConfig in local_llm_connector.py
Requires-Dist: # accelerate # Often needed with transformers, especially for device_map
Requires-Dist: # Core dependency for GGUF based nodes (e.g., Mistral-7B-Instruct-Q8.gguf)
Requires-Dist: llama-cpp-python>=0.1.0 # Or a specific version
Requires-Dist: # Optional: For downloading models from Hugging Face Hub
Requires-Dist: huggingface_hub
Requires-Dist: # Optional: If your package uses any specific utility libraries
Requires-Dist: # (Although deepdiff, pillow, etc. might be pulled in by ComfyUI or other nodes)
Requires-Dist: # deepdiff
Requires-Dist: # pillow
Requires-Dist: # Notes for Users:
Requires-Dist: # For llama-cpp-python with GPU support (CUDA), installation is more complex.
Requires-Dist: # Example for CUDA 11.8 (check llama-cpp-python docs for your version):
Requires-Dist: # CMAKE_ARGS="-DLLAMA_CUBLAS=on" pip install llama-cpp-python
Requires-Dist: # Example for CUDA 12.1:
Requires-Dist: # CMAKE_ARGS="-DLLAMA_CUDA=on" pip install llama-cpp-python
