26 lines
1.8 KiB
TOML
26 lines
1.8 KiB
TOML
[project]
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name = "LocalLLMnodes"
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description = "Run local LLMs in ComfyUI and generate Flux Kontext.dev prompts from simple English descriptions"
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readme = "README.md"
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version = "0.1.0"
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license = { text = "MIT" }
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dependencies = ["# Core dependencies for Hugging Face transformers based nodes (e.g., Hermes-2-Pro-Llama-3-8B)", "transformers>=4.38.0 # Or a specific version you know works", "torch>=2.0.0 # Or a specific version you know works", "# Optional, for quantization with transformers (e.g., 4-bit)", "# bitsandbytes # Uncomment if you use BitsAndBytesConfig in local_llm_connector.py", "# accelerate # Often needed with transformers, especially for device_map", "# Core dependency for GGUF based nodes (e.g., Mistral-7B-Instruct-Q8.gguf)", "llama-cpp-python>=0.1.0 # Or a specific version", "# Optional: For downloading models from Hugging Face Hub", "huggingface_hub", "# Optional: If your package uses any specific utility libraries", "# (Although deepdiff, pillow, etc. might be pulled in by ComfyUI or other nodes)", "# deepdiff", "# pillow", "# Notes for Users:", "# For llama-cpp-python with GPU support (CUDA), installation is more complex.", "# Example for CUDA 11.8 (check llama-cpp-python docs for your version):", "# CMAKE_ARGS=\"-DLLAMA_CUBLAS=on\" pip install llama-cpp-python", "# Example for CUDA 12.1:", "# CMAKE_ARGS=\"-DLLAMA_CUDA=on\" pip install llama-cpp-python"]
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authors = [
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{ name = "Obada Shawabke", email = "obdkml@gmail.com" }
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]
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classifiers = [
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: MIT License",
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"Operating System :: OS Independent",
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]
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[project.urls]
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Repository = "https://github.com/kmlbdh/ComfyUI_LocalLLMNodes"
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Homepage = "https://github.com/kmlbdh/ComfyUI_LocalLLMNodes"
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[tool.comfy]
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PublisherId = "kmlbdh"
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DisplayName = "ComfyUI_LocalLLMNodes"
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Icon = "🤖"
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includes = []
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