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Image Manipulation

Qwen Face to Full Portrait

Generate full portrait images from cropped face photos using Qwen Image Edit Plus with LoRA

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Inputs

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Execution Steps

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Overview

Qwen Face to Full Portrait turns one or more cropped face images into full portrait concepts using Qwen Image Edit Plus with LoRA. Use it for founder, team, creator, or campaign portrait ideas when you have a close-up face image and want to explore clothing, pose, setting, and style directions.

Use cases

  • Generate full portrait options from cropped founder or creator face photos.
  • Explore clothing, setting, pose, and style directions before a shoot or design pass.
  • Create several portrait concepts from the same source face image and prompt.
  • Use seed and image size controls when repeatable portrait exploration matters.

Input tips

  • Provide one or more public image_urls with cropped face photos that can be fetched without login.
  • Use the prompt to describe clothing, setting, pose, style, lighting, and mood.
  • Choose num_images from 1-4 when you want multiple portrait 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 generated portrait 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 Face to Full Portrait model label.

Caveats

  • Image URLs must be public and reachable.
  • Face images guide the portrait but do not guarantee exact likeness, body shape, clothing, pose, or proportions.
  • Generated portraits can alter identity cues, hands, text, logos, accessories, and background details.
  • Use only appropriate source images and review likeness, consent, and brand fit before use.
  • Safety filtering may block or alter requests that violate model rules.

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