Qwen Remove Element
Remove objects, people, text, or other elements from images while maintaining scene consistency using Qwen Image Edit Plus with LoRA
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Overview
Qwen Remove Element edits one or more images to remove prompted objects, people, text, logos, or other visible elements while preserving the surrounding scene. Use it for cleaning product shots, campaign images, social visuals, and mockups when a distracting element needs to disappear.
Use cases
- Remove a distracting logo, prop, person, or text block from a campaign image.
- Clean up product photos before testing them in ecommerce or ad layouts.
- Generate several removal options from the same source image and prompt.
- Use seed and image size controls when repeatable cleanup exploration matters.
Input tips
- Provide one or more public image_urls that can be fetched without login.
- Use the prompt to name the exact object, person, logo, text, or area to remove.
- Choose num_images from 1-4 when you want multiple cleanup 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 lora_scale, guidance_scale, inference steps, negative_prompt, safety checker, or seed only when needed.
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.
- Element removal can change nearby texture, shadows, reflections, text, logos, or product details.
- Crowded scenes and overlapping objects may need several attempts or a clearer prompt.
- Generated packaging, brand marks, faces, and text should be reviewed before use.
- Safety filtering may block or alter requests that violate model rules.
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