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Image Manipulation

Qwen Remove Lighting

Remove existing lighting and shadows from images and apply soft even lighting using Qwen Image Edit Plus with LoRA

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Inputs

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Execution Steps

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Overview

Qwen Remove Lighting edits one or more images to remove existing lighting and shadows, then apply softer, more even lighting using Qwen Image Edit Plus with LoRA. Use it when product photos, portraits, or campaign visuals need a more neutral lighting base before design review.

Use cases

  • Create a softer-lighting version of a product image before ad layout testing.
  • Reduce strong shadows in a portrait or founder image.
  • Generate several evenly lit options from the same source image.
  • Use seed and image size controls when repeatable lighting exploration matters.

Input tips

  • Provide one or more public image_urls that can be fetched without login.
  • Choose num_images from 1-4 when you want multiple lighting-removal options.
  • Use image_size presets or custom dimensions only when the output canvas matters.
  • Set output_format to png, jpeg, or webp based on the final handoff need.
  • Adjust guidance_scale, inference steps, negative_prompt, safety checker, or seed only when needed.
  • Do not expect a prompt field; this AI Tool automatically targets existing lighting and shadows.

Expected output

The AI Tool returns one or more edited 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 model metadata.

Caveats

  • Image URLs must be public and reachable.
  • This AI Tool targets lighting and shadows automatically; it is not a free-form image editor.
  • Lighting removal can change mood, contrast, color, texture, reflections, or small visual details.
  • Generated product details, faces, logos, and text should be reviewed before use.
  • Safety filtering may block or alter requests that violate model rules.

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