Qwen Image Edit Plus

Advanced AI model for multi-image editing and enhanced single-image consistency.

Model Overview

A powerful AI model designed for advanced image editing, capable of manipulating multiple images simultaneously and maintaining high consistency within single-image edits.

Best At

• Multi-image Editing: Seamlessly combines elements from 1-3 input images to create new compositions (e.g., person + person, person + product, person + scene).
• Single-image Consistency: Significantly improves editing accuracy for people (preserving identity, facial features, poses), products (maintaining product identity), and text (editing content, fonts, colors, materials).
• ControlNet Integration: Natively supports ControlNet conditions like depth maps, edge maps, and keypoints for precise control over edits.

Limitations / Not Good At

• While it supports up to 3 images, performance might be optimal with fewer.
• Detailed fine-tuning for highly specific artistic styles may require further iteration.

Ideal Use Cases

• Creative Composition: Merging different visual elements into a cohesive new image.
• Product Mockups: Editing product images and placing them in new scenes or contexts.
• Character Design: Modifying character appearances, poses, and clothing.
• Meme Generation: Editing images with custom text and styles.
• Poster Design: Creating posters with integrated text and imagery.
• Photo Restoration: Enhancing and restoring old photographs.
• Pose Transfer: Applying poses from one image to a subject in another.

Input & Output Format

• Input: Text prompt, one or more reference images (JPEG, PNG, GIF, WEBP), optional parameters like aspect ratio, seed, output format, etc.
• Output: Array of URIs pointing to the generated edited images.

Performance Notes

• Supports a go_fast option for quicker predictions.
• Offers control over output image format and quality.