Maxed-Out-99 a759fd896d Rename UNET loader label and bump version
Change the UNET loader UI/title from "Smart UNET Loader MXD" to "Smart Model Loader MXD" in nodes.py to better reflect unified model support; update the NODE_CLASS_MAPPINGS block with a comment about keeping the original key for backward compatibility. Also bump package version in pyproject.toml from 1.0.5 to 1.0.6.
2026-02-23 16:22:04 -08:00
2025-12-15 11:43:03 -08:00
2025-07-18 16:32:09 -07:00
2025-07-18 16:32:09 -07:00
2025-12-15 11:43:03 -08:00
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2025-07-18 16:32:09 -07:00

ComfyUI-SmartModelLoaders-MXD

Smart, unified model loaders for ComfyUI that support both standard .safetensors and quantized .gguf formats — no switching nodes required.

Includes flexible UNET and CLIP loaders that work across models like SDXL, SD3, Flux, and more.


✅ Features

  • 🧠 Unified loaders for .safetensors and .gguf formats
  • 🔀 Drop-in replacements for standard UNET and CLIP nodes
  • 💪 Supports single, dual, triple, and quad CLIP configs
  • ⚙️ Internal handling of GGUF logic with GGMLOps and GGUFModelPatcher
  • 🧼 Clean fallback to standard ComfyUI loading when needed

📦 Included Nodes

Node Name Purpose
Smart UNET Loader MXD Loads UNET from .safetensors or .gguf
Smart CLIP Loader MXD Loads a single CLIP model of any supported format
Smart Dual CLIP Loader MXD Loads 2 CLIPs (ideal for SDXL, Flux, etc.)
Smart Triple CLIP Loader MXD Loads 3 CLIPs (used in SD3 and similar setups)
Smart Quad CLIP Loader MXD Loads 4 CLIPs (for advanced/experimental workflows)

🧩 Installation

Clone directly into your ComfyUI custom nodes directory:

git clone https://github.com/Maxed-Out-99/ComfyUI-SmartModelLoaders-MXD.git

Install requirements:

pip install -r requirements.txt

🙏 Attribution This project is based on and extends:

city96/ComfyUI-GGUF Licensed under Apache 2.0 License

Modifications, restructuring, and additional loader support by Maxed-Out-99 (2025).

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