ComfyUI > Nodes > ComfyUI-QwenImageWanBridge

ComfyUI Extension: ComfyUI-QwenImageWanBridge

Repo Name

ComfyUI-QwenImageWanBridge

Author
fblissjr (Account age: 3903 days)
Nodes
View all nodes(24)
Latest Updated
2025-12-15
Github Stars
0.16K

How to Install ComfyUI-QwenImageWanBridge

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

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ComfyUI-QwenImageWanBridge Description

ComfyUI-QwenImageWanBridge provides custom nodes to integrate Qwen-Image and WAN video models within ComfyUI, enhancing functionality and interoperability between image and video processing tasks.

ComfyUI-QwenImageWanBridge Introduction

Welcome to ComfyUI-QwenImageWanBridge, an advanced extension designed to enhance your image editing capabilities using the Qwen-Image-Edit framework. This extension is particularly beneficial for AI artists looking to explore multi-image editing with greater flexibility and control. It leverages the power of the vision transformer (qwen2.5-vl) to provide a seamless and efficient editing experience. Whether you're working with single or multiple images, this extension offers a range of features that can help you achieve high-quality results with ease.

How ComfyUI-QwenImageWanBridge Works

At its core, ComfyUI-QwenImageWanBridge operates by integrating advanced nodes that facilitate image editing through a vision transformer model. Imagine it as a sophisticated toolkit that allows you to manipulate images in a way that is both intuitive and powerful. The extension supports multi-image editing, meaning you can work with several images simultaneously, combining elements from each to create a cohesive final product. It also includes a text-to-image feature, enabling you to generate images based on textual descriptions. The system is designed to handle various image resolutions and aspect ratios, ensuring compatibility and flexibility in your creative process.

ComfyUI-QwenImageWanBridge Features

Core Capabilities

  • Multi-Image Editing: Edit up to 512 images at once, with optimal performance for 1-3 images.
  • DiffSynth-Studio Alignment: Ensures that your edits are consistent with DiffSynth-Studio standards.
  • Advanced Power User Mode: Offers per-image resolution control for precise editing.
  • Configurable Auto-Labeling: Automatically labels images with customizable formats like "Picture X:".
  • Memory Optimization: Manages VRAM usage efficiently, allowing for weighted resolution adjustments.
  • Full Debug Output: Provides detailed information on prompts, character counts, and memory usage.

Key Nodes

  • QwenVLTextEncoder: A standard encoder that supports multi-image input and automatic labeling.
  • QwenVLTextEncoderAdvanced: An enhanced encoder for power users, featuring resolution control and memory management.
  • QwenTemplateBuilder: Allows for the creation of system prompt templates, with options for custom overrides.

Helper Nodes

  • QwenVLEmptyLatent: Generates empty latents for image processing.
  • QwenVLImageToLatent: Converts images into latents for further manipulation.
  • QwenTemplateConnector: Connects the template builder to the encoder for streamlined workflow.
  • QwenDebugController: A comprehensive tool for debugging and profiling your editing process.

Experimental Nodes

  • QwenSpatialTokenGenerator: A visual editor for spatial tokens, currently in an experimental phase.
  • QwenEliGenEntityControl: Provides entity-level mask control for detailed editing.
  • QwenEliGenMaskPainter: A simple tool for creating masks.
  • QwenTokenDebugger: Assists in debugging token processing.
  • QwenTokenAnalyzer: Analyzes tokenization for improved understanding.

ComfyUI-QwenImageWanBridge Models

The extension primarily utilizes the qwen2.5-vl model, which is optimized for handling complex image editing tasks. This model is particularly effective for multi-image editing and text-to-image generation, providing high-quality results with minimal effort. By using this model, you can expect improved performance and more accurate image transformations.

Troubleshooting ComfyUI-QwenImageWanBridge

Here are some common issues you might encounter while using the extension, along with solutions:

  • System Prompt Appearing in Images: Ensure that the Template Builder's system_prompt output is correctly connected to the Encoder's system_prompt input. Check your workflow connections and enable debug_mode to verify tokenization.
  • Multi-Image Editing Issues: Use "Picture 1", "Picture 2" references in your prompts and verify that the Image Batch node is connected to the edit_image input. Debug_mode can help you see the Picture formatting.
  • Dimension Mismatch Errors: Make sure all images have similar dimensions before batching. Use ComfyUI's Image Scale node if necessary to match dimensions.

Learn More about ComfyUI-QwenImageWanBridge

To further enhance your understanding and usage of ComfyUI-QwenImageWanBridge, consider exploring the following resources:

  • Example Workflows: Located in the example_workflows/ directory, these provide practical examples of how to use the extension effectively.
  • Community Forums: Join discussions with other AI artists to share tips, ask questions, and get support.
  • Documentation: Refer to the detailed documentation provided with the extension for in-depth guidance on each feature and node. By leveraging these resources, you can maximize the potential of ComfyUI-QwenImageWanBridge and elevate your AI art projects to new heights.

ComfyUI-QwenImageWanBridge Related Nodes

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