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Qwen Edit 2509 - Image Edit with multi images input and Multi Lora Loader

This ComfyUI workflow offers rapid image editing with multi-image input and a multi-LoRA loader, automatically scaling images for optimal quality. It supports Qwen and lighting LoRAs, includes a prompt stasher, and an image comparison slider, with specific sampler settings for best results and custom image sizing recommendations.

Screenshot of the complete ComfyUI AI influencer workflow. This all-in-one template features a Face Detailer, Refiner, and Upscaler to automatically fix faces and hands for professional-grade images.

ComfyUI Workflow: Qwen Edit 2509 - Image Edit with Multi-Image Input and Multi LoRA Loader

Qwen Edit 2509 is a ComfyUI workflow designed for efficient image editing, allowing you to process multiple images and apply various LoRAs quickly. It supports a seamless editing process from input to comparison, aiming for high-quality results.

What Makes Qwen Edit 2509 Special

  • Multi-image input: Process several images simultaneously within the workflow.
  • Rapid generation: Achieve edited outputs in just a few seconds, leveraging lighting LoRAs.
  • Flexible LoRA application: Load and use multiple LoRAs, supporting various Qwen image LoRAs.
  • Integrated comparison: Easily review changes with an included image comparison slider.
  • Optimized sampling: Inputs are automatically scaled to 1M pixels for superior sampling quality.

How to Use

  • Load images: Place your images into the image loader node. They will automatically scale for optimal sampling.
  • Select LoRAs: Optionally choose your desired LoRAs. Many Qwen image LoRAs from Civitai are compatible.
  • Input prompt: Write your desired prompt. You can save prompts using the Prompt Stasher.
  • Sampler settings: For lighting LoRAs, use default sampler settings. Without lighting LoRAs, set steps between 20 and 50 and CFG around 2.5.
  • Adjust shift: Set the shift value, typically between 1.5 and 3.0.
  • Generate and compare: Run the generation process and use the slider node to view the differences.
  • Custom image size: Connect an empty latent node to the VAE encode for custom dimensions. It is recommended to use dimensions that are multiples of 112 for Qwen models.

Recommended Settings

  • Image resolution: Input images are scaled to 1M pixels for consistent quality.
  • LoRA compatibility: While most Qwen image LoRAs should work, some may not be compatible.
  • Sampler steps: Use 20–50 steps when not using lighting LoRAs for balanced speed and quality.
  • CFG scale: A CFG of approximately 2.5 is suggested for non-lighting LoRA use.
  • Shift value: A range of 1.5 to 3.0 generally yields good results for image adjustments.

Why Use This Workflow

  • Speed and efficiency: Quickly edit multiple images with fast generation times.
  • High-quality output: Automatic image scaling and optimized settings contribute to enhanced output quality.
  • Versatile LoRA support: Experiment with various LoRAs to achieve diverse editing styles.
  • Streamlined process: From loading images to comparing results, the workflow offers a straightforward editing experience.