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qwen/qwen-edit-2509/lora/relight

Qwen Edit 2509 Relight performs realistic relighting and multi-image composition while maintaining subject and layout fidelity.

The URLs of the images to edit.
The size of the generated image.
The number of inference steps to perform.
Higher values produce images that more closely follow the prompt.
The number of images to generate.
The format of the generated image.

Introduction to Qwen Edit 2509 Relight

Qwen Edit 2509 Relight image-to-image marks a major evolution in the Qwen AI creative suite by Alibaba. Building on the August 2025 release, it adds enhanced multi-image editing, deeper ControlNet integration, and lightning-fast LoRA adapters. You can edit one to three inputs — blending a person, product, or scene — while preserving identity, composition, and texture details. With support for quantized formats (GGUF, FP8, BF16), Qwen Edit 2509 lets you achieve professional-grade results even on constrained hardware, ensuring faster, more consistent output across real-world creative workflows. Qwen Edit 2509 image-to-image empowers creators, designers, and advertisers to merge elements into coherent visuals, relight subjects, or refashion scenes in just a few steps. You’ll produce refined, realistic edits that maintain facial identity, accurate lighting, and brand consistency, turning complex photo composition into a smooth, precise generation process.

What makes Qwen Edit 2509 Relight stand out

Qwen Edit 2509 is a structure-aware, image-to-image editor focused on faithful preservation of subjects and layout while enabling decisive visual changes—especially lighting. Built by QwenLM / Alibaba, Qwen Edit 2509 emphasizes realism and consistency: it honors facial identity, product details, and typography while executing targeted edits instead of re-synthesizing the full frame. Qwen Edit 2509 multi-image editing (1–3 inputs) supports practical workflows like person + background or product + scene. ControlNet-style conditioning in Qwen Edit 2509 (depth, edges, keypoints/sketch) stabilizes geometry and pose, enabling reliable relighting and restyling with minimal drift. With Qwen Edit 2509, creators achieve predictable, high-fidelity relighting and scene edits. Qwen Edit 2509 integrates cleanly into Diffusers and common UI graphs for repeatable, production-friendly results. Across complex compositions, Qwen Edit 2509 preserves perspective, materials, and brand details. Key capabilities:

  • Multi-image editing (1–3 inputs) for person/background/product compositions with Qwen Edit 2509.
  • Strong identity and product fidelity in single-image edits with Qwen Edit 2509.
  • Relighting with coherent shadows and material response with Qwen Edit 2509 while preserving subject.
  • ControlNet-style conditioning: depth, edge, and keypoint/sketch guidance.
  • Robust text updates: font, color, and material edits with high legibility.
  • Negative prompt support to suppress artifacts and over-stylization.
  • Tunable speed/quality via steps and guidance; reproducible with seed control. In production pipelines, Qwen Edit 2509 helps teams maintain consistent visual identity at scale.

Prompting guide for Qwen Edit 2509

Provide 1–3 input images for Qwen Edit 2509 and describe the intended change succinctly: specify what to alter (lighting, background integration, text) and what to preserve (face, pose, logo, layout). Use negative prompts to discourage unwanted content. Set image_size to match your delivery, choose steps for quality (e.g., 24–36), and guidance_scale for adherence (typically 3–5). For structure control, supply depth/edge/keypoint conditions available in your pipeline. In Diffusers or ComfyUI, the qwen-image qwen-image-edit-2509-relight workflow (e.g., QwenImageEditPlusPipeline / TextEncodeQwenImageEditPlus) supports consistent relight operations while keeping subject identity. Qwen Edit 2509 responds best to constraint-first prompts and concise directions. Examples:

  • Single-image relight: "preserve face and composition; soft golden-hour backlight; clean skin; keep brand logo unchanged".
  • Person + background: "merge subject with city skyline; dusk blue ambience; consistent rim light; maintain pose".
  • Product + scene: "matte studio key light, gentle fill; keep proportions and label details".
  • Text replacement: "replace poster text with QWEN in bold sans-serif, white; keep colors and layout".
  • Pose-guided: "follow edge map silhouette; neon accent lighting; preserve clothing texture". Pro tips:
  • State constraints explicitly: "preserve identity, pose, layout" to avoid drift.
  • Keep descriptors focused; 3–5 strong terms outperform long adjective lists.
  • Start with guidance_scale 3–5 and 24–36 steps; increase only if details are missed.
  • Use negative_prompt to remove halos, extra objects, or oversharpening.
  • For relighting, name direction and quality: "warm key light from left, soft fill, subtle shadow detail".

Related Playgrounds

Frequently Asked Questions

What is Qwen Edit 2509 and how does it use image-to-image technology?

Qwen Edit 2509 is a powerful image-to-image editing model by Alibaba that lets users modify or combine one to three images into a coherent new composition. It can handle relighting, pose adjustments, and scene blending while maintaining strong identity and texture consistency.

What are the main features of Qwen Edit 2509 for image-to-image editing?

Qwen Edit 2509 supports up to three input images for advanced image-to-image workflows. It offers ControlNet integration for precise composition, bilingual text editing, and optimized quantized formats for fast results on both consumer and professional hardware.

How much does it cost to use Qwen Edit 2509 on Runcomfy?

Access to Qwen Edit 2509 on Runcomfy uses a credit-based system. Users get free trial credits upon registration, and additional use of image-to-image features can be purchased based on Runcomfy’s Generation credit policy.

Who should use Qwen Edit 2509 for image-to-image projects?

Qwen Edit 2509 is ideal for designers, marketers, and artists who want to produce realistic composite visuals through image-to-image operations, such as fashion posters, product mockups, or photo restorations.

What improvements does Qwen Edit 2509 bring compared to earlier versions?

Qwen Edit 2509 enhances image-to-image consistency with better face retention, product details preservation, and faster inference through Lightning LoRA adapters. Its ControlNet support also gives users more precise control over pose and layout.

What platforms support Qwen Edit 2509 and image-to-image usage?

Currently, Qwen Edit 2509 can be accessed through the Runcomfy AI Playground via a web browser. The image-to-image model performs well on both desktop and mobile versions of the site after logging into an account.

What image formats can I use in Qwen Edit 2509 for image-to-image editing?

Qwen Edit 2509 generally supports standard image formats like PNG and JPG for its image-to-image tasks, ensuring compatibility when merging up to three images for professional-quality outputs.

Does Qwen Edit 2509 have any limitations in image-to-image processing?

While Qwen Edit 2509 excels in controlled image-to-image editing, extremely complex lighting or texture transitions may need manual refinement. Users should also monitor credit usage when running multiple high-fidelity generations.

Can Qwen Edit 2509 modify text within images during image-to-image editing?

Yes, Qwen Edit 2509 can perform bilingual text edits—such as changing font, color, or material—within image-to-image compositions, making it especially useful for branding and ad design workflows.