Install this extension via the ComfyUI Manager by searching
for comfyui-sdnq
1. Click the Manager button in the main menu
2. Select Custom Nodes Manager button
3. Enter comfyui-sdnq in the search bar
After installation, click the Restart button to
restart ComfyUI. Then, manually
refresh your browser to clear the cache and access
the updated list of nodes.
Visit
ComfyUI Online
for ready-to-use ComfyUI environment
ComfyUI Extension comfyui-sdnq is a custom node pack designed to facilitate the loading of SDNQ quantized models, enhancing the functionality and integration of these models within the ComfyUI framework.
comfyui-sdnq Introduction
Welcome to the comfyui-sdnq extension! This powerful tool is designed to help AI artists like you run large, complex models on consumer-grade hardware with significantly reduced VRAM requirements. By leveraging the SDNQ (SD.Next Quantization) technology, this extension allows you to work with models such as FLUX.2, FLUX.1, and SD3.5, among others, without compromising on quality. Whether you're creating stunning visuals or experimenting with new artistic styles, comfyui-sdnq makes it possible to achieve high-quality results with less hardware strain.
How comfyui-sdnq Works
At its core, comfyui-sdnq utilizes a process called quantization, which reduces the memory footprint of models by simplifying the data representation. Think of it like compressing a high-resolution image into a smaller file size without losing much detail. This is achieved by converting the model's weights into a more compact form, allowing you to run complex models on hardware with limited VRAM. The extension integrates seamlessly with ComfyUI, providing an intuitive interface for loading models, generating images, and applying various artistic effects.
comfyui-sdnq Features
Standalone Sampler: This feature acts as an all-in-one node where you can load a model, generate images, and complete your project with ease.
Model Catalog: Access over 20 pre-configured SDNQ models that can be automatically downloaded, saving you time and effort.
Image Editing: Enhance your creativity with optional image inputs for tools like Qwen-Image-Edit and ChronoEdit.
Smart Caching: Download models once and use them indefinitely, thanks to efficient caching mechanisms.
VRAM Savings: Experience 50-75% memory reduction, allowing you to work with larger models on less powerful hardware.
Performance Optimizations: Optional features like xFormers, VAE tiling, and SDPA are available to boost performance.
LoRA Support: Easily load and apply LoRAs from the ComfyUI loras folder to customize your outputs.
Multi-Scheduler: Choose from 14 different schedulers, including FLUX/SD3 flow-match and traditional diffusion methods.
Memory Modes: Select from GPU (fastest), balanced (12-16GB VRAM), or lowvram (8GB VRAM) modes to suit your hardware capabilities.
comfyui-sdnq Models
The extension offers a diverse range of models, each tailored for specific artistic needs:
FLUX Models: Ideal for dynamic and fluid image generation.
Qwen Models: Perfect for quick edits and enhancements.
Z-Image Models: Known for fast text-to-image conversions.
SD3/SDXL Models: Suitable for high-resolution and detailed outputs.
Other Models: Includes Chroma1-HD, HunyuanImage3, and more for varied artistic styles.
Explore the full collection of models at Hugging Face.
Troubleshooting comfyui-sdnq
Here are some common issues you might encounter and how to resolve them:
xFormers Not Working: If xFormers isn't available, the extension will automatically use SDPA, which provides good performance.
Performance is Slow: In balanced or lowvram modes, try enabling use_xformers=True for a potential speed boost. Consider upgrading your hardware for better performance.
Out of Memory: Switch to a lower memory mode, use more aggressive quantization, or reduce image resolution.
Model Loading Fails: Ensure your internet connection is stable for auto-downloads, verify the model path, and check that the model is SDNQ-quantized.
Learn More about comfyui-sdnq
To further enhance your experience with comfyui-sdnq, consider exploring additional resources:
SDNQ Wiki: Learn more about the underlying technology at the SDNQ Wiki.
Community Forums: Join discussions and seek support from fellow AI artists in community forums.
Tutorials and Documentation: Look for tutorials that guide you through specific features and use cases of the extension.
By understanding and utilizing these resources, you can unlock the full potential of comfyui-sdnq and elevate your AI artistry to new heights.
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enabling artists to harness the latest AI tools to create incredible art.