RIP NANO BANANA! FREE OPEN-SOURCE COMPETITOR IS HERE!

2025-09-27 · Source: Aitrepreneur · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, long

Summary

The Quen Image Edit Plus (also known as Quen Image Edit 25509) is a newly released open-source AI model designed for advanced image editing. This iteration significantly enhances its predecessor, Quen Image Edit, by enabling automatic editing of multiple images simultaneously using a single text prompt. Key capabilities include combining elements from different pictures, changing outfits, modifying a person's position using reference images and ControlNet (supporting Open Pose and Depth Anything), and functioning as a powerful inpainting tool. The model can be installed via a one-click installer for Patreon supporters or through a manual process, and it supports LoRA compatibility. It is presented as the most powerful open-source image editing model to date, capable of running locally or on cloud platforms like RunPod, requiring at least 24 GB of VRAM.

Key takeaway

For AI Engineers and Machine Learning Engineers seeking robust open-source image manipulation tools, Quen Image Edit Plus offers significant capabilities for multi-image editing, inpainting, and pose/outfit swapping. You should explore its ControlNet integration (Open Pose, Depth Anything) and multi-image input features to streamline complex visual content creation, especially if you have access to GPUs with 24 GB of VRAM or more, or cloud GPU services like RunPod.

Key insights

Quen Image Edit Plus offers advanced multi-image editing and inpainting via text prompts and ControlNet.

Principles

• Text prompts guide complex image manipulations.
• ControlNet enables precise pose and depth transfers.

Method

The model integrates multiple input images and ControlNet (Open Pose or Depth Anything) with text prompts to generate edited outputs, maintaining consistency across elements like character, pose, and background.

In practice

• Use 24GB+ VRAM GPUs for optimal performance.
• Employ ControlNet for pose or depth-based image transformations.
• Combine multiple images to create complex scenes.

Topics

• Quen Image Edit Plus
• Open-source Image Editing
• ComfyUI Workflows
• Super Inpainting
• ControlNet

Best for: AI Engineer, Machine Learning Engineer, AI Student

Related on AIssential

• RIP NANO BANANA! OPEN-SOURCE OBJECT SWAP MAGIC! — The Quen Image Edit Plus workflow has been updated to fix ghosting and improve LoRa usage, adding a new object swap feature.
• SceneCraft: Interactive System for Image Editing via Scene Graph — SceneCraft uses editable scene graphs to translate visual interactions into precise prompts for generative AI, simplifying complex image editing.
• Qwen-Image-2.0 is Here and it Gives Nano Banana a Run for its Money — Qwen-2.0-Image unifies high-fidelity image generation and editing with advanced text rendering for professional visual content.
• VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents — Image editing models require specialized benchmarks to accurately assess their performance on multilingual and densely textual visual documents.
• Detecting and Editing Visual Objects with Gemini — Gemini enables open-vocabulary object detection and advanced image editing using natural language prompts, eliminating traditional model training.
• Z-IMAGE TURBO UPGRADE! MORE DETAILS & CONTROLNET ON LOW VRAM! — New Z-image Turbo workflow enhancements improve image diversity, control, and detail, addressing prior model limitations.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Aitrepreneur.