E-commerce product image generation test (core scenario)
Upload a product image with a white background (taking a power bank as an example)
Prompts：Place [product] on a [material] surface in [scene], with soft natural lighting and subtle shadows.
Example：Place the power bank in the center of a pleated white blanket with scattered petals and soft sunlight
Effect evaluation:
High degree of product logo/texture restoration (such as power bank port details and fabric LOGO clarity)
Light and shadow logic consistency (shadow direction matches virtual light source)
Text generation defect: Chinese LOGO generation is not supported (needs to be added in PS later)
Image retouching efficiency test (high frequency demand)
Task Type：Remove watermark
Prompts：Remove the watermark
Task Type：Remove passerby
Prompts：Remove all passerby in the background
Task Type：Colorize old photos
Prompts：Color this old photo
Effect evaluation:The image retouching effect is very powerful, fast and high quality, and only a few prompts are needed to complete the task
Creative design test (entertainment)
Style transfer consistency verification
Upload a real image → Enter the prompt word Convert to ghibli style
Effect evaluation:
99% character feature retention rate
The stylization retains the iconic big eyes and unique color saturation of Ghibli
Prompt word multi-task stability test
Task: Change background to beach → 2. Swap dress to black suit → 3. Add straw hat
Effect evaluation:
The task was completed while preserving the consistency of the characters
Note⚠️: When generating full-body images, a resolution of 1024px or above is mandatory to prevent facial blur
Conclusion
Through the above scenario tests, we can fully verify the value of Kontext in the three major areas of commercial image rendering, image restoration, and creative collaboration. It is recommended to prioritize the pilot in the e-commerce/new media industry, and designers should focus on local editing and style transfer capabilities.
