ComfyUI > Nodes > ComfyUI-FlowMatching-Upscaler

ComfyUI Extension: ComfyUI-FlowMatching-Upscaler

Repo Name

ComfyUI-FlowMatching-Upscaler

Author
ttulttul (Account age: 5304 days)
Nodes
View all nodes(6)
Latest Updated
2025-12-18
Github Stars
0.05K

How to Install ComfyUI-FlowMatching-Upscaler

Install this extension via the ComfyUI Manager by searching for ComfyUI-FlowMatching-Upscaler
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-FlowMatching-Upscaler 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

  • Free trial available
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

ComfyUI-FlowMatching-Upscaler Description

ComfyUI-FlowMatching-Upscaler is a progressive upscaling node for flow-matching models, incrementally doubling resolution while maintaining composition through flow-consistent re-noising, denoising, and skip residual blending.

ComfyUI-FlowMatching-Upscaler Introduction

The ComfyUI-FlowMatching-Upscaler is an innovative extension designed to enhance the resolution of images generated by flow-matching models, such as Qwen Image. This extension is particularly useful for AI artists who wish to create high-resolution images without losing the original composition and details. By utilizing a progressive upscaling approach, the extension incrementally increases the image resolution while maintaining the flow consistency of the model. This ensures that the final output is both high-quality and true to the original artistic intent. Additionally, the extension includes a model patcher, DyPE, which allows for high-resolution generation by extending the spatial rotary embeddings of the Qwen Image model.

How ComfyUI-FlowMatching-Upscaler Works

The ComfyUI-FlowMatching-Upscaler operates on the principle of flow matching, which is a method used by certain diffusion models to generate images. Unlike traditional models that remove noise layer by layer, flow matching models calculate a direct path from a noisy state to a clear image. This extension leverages this concept by progressively upscaling the image in stages.

Imagine starting with a small, blurry image and gradually bringing it into focus by following a specific path. The upscaler first generates a base image at a lower resolution and then increases the resolution in stages. During each stage, the image is resized, and noise is added in a controlled manner to ensure the model can continue along its path without introducing new artifacts or altering the composition. This method allows for the preservation of high-frequency details and prevents the introduction of unwanted elements.

ComfyUI-FlowMatching-Upscaler Features

The extension offers several features that can be customized to suit the needs of AI artists:

  1. Flow Matching Progressive Upscaler: This feature allows for incremental resolution doubling, ensuring that the image remains consistent with the model's flow. It includes parameters for controlling the noise ratio, skip blending, and the number of stages.
  2. DyPE for Qwen Image: This model patch node extends the spatial rotary embeddings of the Qwen Image model, allowing it to generate coherent images at resolutions beyond its native training size. It includes options for dynamic scaling and extrapolation strategies.
  3. Mesh Drag (Latent/Image): These nodes introduce spatial perturbations by dragging mesh vertices, creating cloth-like warps while maintaining the overall content. This feature is useful for adding randomness and creativity to the image generation process.

ComfyUI-FlowMatching-Upscaler Models

The extension supports different models, each with specific use cases:

  • Flow Matching Models: These models are designed to follow a specific path from noise to image, making them ideal for the progressive upscaling approach used by this extension.
  • Qwen Image Model: This model benefits from the DyPE patch, which allows it to generate high-resolution images without losing coherence.

Troubleshooting ComfyUI-FlowMatching-Upscaler

Here are some common issues and solutions for using the ComfyUI-FlowMatching-Upscaler:

  • Issue: Image appears waxy or lacks detail: Ensure that the noise parameter is set correctly. Noise is essential for providing the model with the necessary substrate to carve details into the image.
  • Issue: High VRAM usage: If you encounter memory issues, the extension automatically switches to a low VRAM mode, which may be slower but prevents crashes.
  • Issue: Artifacts in the final image: Use the dilated sampling feature to suppress high-frequency hallucinations and improve the overall quality of the image.

Learn More about ComfyUI-FlowMatching-Upscaler

To further explore the capabilities of the ComfyUI-FlowMatching-Upscaler, consider the following resources:

  • Tutorials and Documentation: Detailed guides and documentation can help you understand how to use the extension effectively and customize its features to suit your artistic needs.
  • Community Forums: Join forums and online communities where you can ask questions, share your experiences, and learn from other AI artists using the extension.

By leveraging these resources, you can enhance your understanding of the ComfyUI-FlowMatching-Upscaler and unlock its full potential for creating stunning, high-resolution AI-generated art.

ComfyUI-FlowMatching-Upscaler Related Nodes

RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.