SUPIR Sampler Node Documentation
Overview
The SUPIR Sampler node, part of the ComfyUI-SUPIR package, is designed to provide users with advanced image upscaling and restoration capabilities within the ComfyUI framework. This node leverages the SUPIR architecture to enhance image quality through innovative denoising and upscaling processes. Originating from an underlying SDXL image-to-image pipeline, SUPIR introduces unique features such as a specialized "denoise encoder" VAE and customizable preprocessing options with its ControlNet integration.
Functionality
The SUPIR Sampler node is primarily responsible for sampling images, applying the denoising and upscaling processes integral to the SUPIR methodology. This node forms part of a broader system of nodes that work collectively to execute the full SUPIR process, including model loading, encoding, decoding, and conditioning.
Inputs
The SUPIR Sampler node accepts several key inputs necessary to carry out its function:
- Input Image: The main image that needs upscaling or restoration.
- Scale Factor: Determines the scaling applied during the upscaling process. This can be set to 1.0 to bypass any scaling or increased to enlarge the output.
- Caption Inputs: Optional inputs for text captions that can influence the processing, allowing for integration with caption-generating utilities if needed.
- Preprocessing Nodes: Any nodes that act as preprocessors, such as model-based upscalers or other image enhancement tools.
Outputs
- Upcaled/Restored Image: The primary output from the SUPIR Sampler is the enhanced version of the input image, processed according to the scale factor and any additional conditioning applied during the workflow.
Usage in ComfyUI Workflows
In a typical ComfyUI workflow, the SUPIR Sampler node can be integrated as follows:
- Load Image: Start by loading your image using a suitable image input node.
- Select Preprocessing: Optionally connect preprocessing nodes if additional enhancements are required before sampling.
- Configure SUPIR Sampler: Attach the input image and any caption inputs to the SUPIR Sampler node, adjusting the scale factor as required for your use case.
- Execute Workflow: Once configured, execute the workflow to produce the enhanced output image.
This modular setup allows for flexibility, enabling users to easily integrate different stages of the SUPIR pipeline selectively and customize behavior based on the specific requirements of their image restoration project.
Special Features and Considerations
- Efficient Computation: SUPIR's design supports efficient model loading and optimized memory usage, benefiting users with varying hardware capabilities.
- Flexible Integration: The node's compatibility with external preprocessing tools and captioning inputs enhances its versatility in diverse projects.
- Hardware Requirements: Given the intensive nature of high-resolution image processing, users should be mindful of memory requirements—ideally using systems with sufficient VRAM and RAM to avoid bottlenecks.
- Advanced Model Options: The SUPIR Sampler leverages a sophisticated SDXL model pipeline with support for advanced features such as LoRAs and
xformers, an optimization library for faster operations.
In summary, the SUPIR Sampler node offers a powerful and adaptable solution for image upscaling and restoration in the ComfyUI environment, equipping users with the tools to achieve high-quality results within an accessible framework.