Eigen-Banana-Qwen-Image-Edit is a LoRA (Low-Rank Adaptation) checkpoint for the Qwen-Image-Edit model, optimized for fast, high-quality image editing with text prompts. This model enables efficient text-guided image transformations with reduced inference steps while maintaining excellent quality.

35 edit operations across 8 semantic categories:

Object-Level Semantic (35%): Add, remove, replace, or relocate objects
Scene Composition & Multi-Subject (20%): Contextual transformations
Human-Centric (18%): Clothing, expression, appearance edits
Stylistic (10%): Domain and artistic style transfer
Text & Symbol (8%): Edits involving visible text or signs
Pixel & Photometric (5%): Brightness, contrast, tonal adjustments
Scale & Perspective (2%): Zoom, viewpoint changes
Spatial/Layout (2%): Outpainting, composition extension