Qwen Edit 2509 for multi-image editing | Image to Image Editor

What makes Qwen Edit 2509 stand out

Qwen Edit 2509 is a structure-aware image-to-image editor in the qwen-image multi-image-edit family, engineered to apply targeted changes while preserving identity, layout, and material response. Its dual-input design couples Qwen-2.5-VL for semantic control with a VAE encoder for appearance conditioning, enabling edits that remain faithful to the base frame and references. Multi-image conditioning (1–3 inputs) supports realistic person+product or subject+scene composition, while ControlNet-native depth/edge/keypoint maps lock pose and geometry. The result is coherent, photoreal edits with consistent typography and color handling, suitable for e-commerce, portrait, and compositing tasks without unnecessary re-synthesis. Qwen Edit 2509 emphasizes realism, stability, and precision under clear constraints.

Key capabilities:

• Multi-image composition (1–3 refs): blend person, product, and scene while keeping base framing.
• Identity and product fidelity: preserve faces, logos, materials, and textures across edits.
• Structure locking via ControlNet: depth, edge, and keypoint maps constrain pose, layout, and perspective.
• Reliable typography edits: add/replace text while keeping original font, size, color, and material; bilingual prompts.
• Dual-input control: semantic intent (Qwen-2.5-VL) + appearance conditioning (VAE) for precise influence.
• Realism-first rendering: consistent lighting, shadows, and reflections; minimal drift and artifacts.

Prompting guide for Qwen Edit 2509

Start by providing 1–3 reference images: a base frame plus optional subject/product and background. In the prompt, declare roles (image1, image2, image3) and specify what to change vs. what to preserve. Qwen Edit 2509 follows concise, constraint-first instructions; use spatial language and measurable targets for predictable results. Add ControlNet maps (depth/edge/keypoint) when pose or layout must remain fixed. Use negative_prompt to exclude undesired traits, set n to sample variations, and a seed for reproducibility. With Qwen Edit 2509, the qwen-image multi-image-edit workflow also supports precise typography edits; include wording, font intent, and placement.

Examples:

• Single-image cleanup: “preserve subject and lighting; remove power lines in background; maintain sky gradient.”
• Localized restyle: “background only — convert to warm studio backdrop; do not change clothing or hair.”
• Person + product: “image1 base; insert product from image2 in left hand; scale proportionally; match specular highlights.”
• Subject + scene: “cut subject from image2 into background image3; keep pose from image2; cast soft shadow on ground.”
• Text replacement: “replace storefront sign with ‘QWEN’ in same font and color; perspective-matched; keep surrounding texture.”

Pro tips:

• Lead with preservation constraints, then describe edits and scope.
• Assign explicit roles (image1/image2/image3) and use spatial terms (left, foreground, upper-right).
• Provide high-quality, tightly cropped references; meet resolution limits to avoid soft detail.
• Use negative_prompt to suppress styles or artifacts; iterate with small prompt changes and fixed seed.
• When geometry matters, include depth/edge/keypoint maps to stabilize pose and camera perspective.