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Image Manipulation

Qwen Integrate Product

Blend and integrate products into backgrounds with automatic perspective and lighting correction using Qwen Image Edit Plus with LoRA

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Inputs

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Execution Steps

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Overview

Qwen Integrate Product blends one or more product or object images into a prompted scene using Qwen Image Edit Plus with LoRA. Use it for product lifestyle concepts, ad visuals, ecommerce scene tests, and campaign mockups when a product should appear naturally placed with adjusted perspective, lighting, and shadows.

Use cases

  • Place a product image into a prompted lifestyle scene for ad concept review.
  • Create several product-in-context options from the same source image set.
  • Test how packaging, merch, or a hero object could look in different campaign settings.
  • Use seed and image size controls when repeatable composition exploration matters.

Input tips

  • Provide one or more public image_urls containing the product or object to integrate.
  • Describe the desired scene, background, lighting, perspective, and placement in the prompt.
  • Choose num_images from 1-4 when you want multiple options.
  • Use image_size presets or custom dimensions only when the output canvas matters.
  • Adjust lora_scale, guidance_scale, inference steps, negative_prompt, safety checker, output format, or seed only when needed.

Expected output

The AI Tool returns one or more generated images with downloadable URLs and optional content type, file name, file size, width, and height, plus the seed used and cost metadata. The shared image output view renders a single image or gallery and shows seed, image count, and the Qwen Integrate Product model label.

Caveats

  • Product image URLs must be public and reachable.
  • The AI Tool can adjust perspective, lighting, and shadows, but product details and proportions may still shift.
  • This AI Tool does not expose a separate mask or explicit background-image field.
  • Generated packaging text, logos, product details, and brand marks should be reviewed before use.
  • Safety filtering may block or alter requests that violate model rules.

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