Qwen Image 2.1 / Image Editing / Generation
Identity preservation + relighting
Compare a rainy-night portrait with a snowy-morning edit, testing facial identity, composition and lighting preservation.
Prompts & inputs
Edit the input image from a rainy Tokyo night into a cold snowy Tokyo morning. Preserve the woman's facial identity, expression, pose, hairstyle, clothing, body proportions, camera position, framing and depth of field. Replace the nighttime neon illumination with soft natural morning daylight. Snow is falling outside the café window and snow has accumulated on visible outdoor surfaces. Update the window reflections and lighting on the woman naturally for the new environment. Do not otherwise alter the subject.

Generation settings
- gpu
- RTX A6000
- engine
- ComfyUI
About this result
The source article reports approximately 45 seconds per image across these tests. Individual seeds, sampling settings and the exact workflow version are not specified. Compare the input and output to assess both the requested edit and preservation of unchanged details.
Source: Qwen Image 2.1 Edit: 8 Real-World Image Editing Stress Tests in ComfyUI
Explore the workflow
Generated output
