Flux Kontext AI's local editing features are primarily available through theImage To ImageThe workflow implementation, which operates in 4 key steps:
- Image UploadSelect the "Image To Image" function on the platform and upload the image to be edited (JPG/PNG format is supported and the recommended resolution is not less than 512px).
- area labeling(Optional): Use the built-in brush tool to circle the editing area, e.g. to select only the clothing part of the character. Default global modification when not labeled
- Instruction input: Describe modification requirements in natural language, suggesting the use of "behavior + attribute" sentences (e.g., "change sweater to turtleneck", "change background to snowy night scene").
- Model Selection: Select as requiredPro mode(quick preview, approx. 15 sec/time) orMax Mode(High-precision output, approximately 60 seconds per output)
Typical application scenarios: When batch dressing an e-commerce model, simply upload the original image and type "change to celadon pattern cheongsam", AI will intelligently keep the model's posture, skin color and lighting consistent, and only replace the clothing elements, which will increase efficiency by more than 10 times compared to traditional Photoshop keying.
This answer comes from the articleFlux Kontext AI: Context-aware AI image generation and editing toolsThe
May not be reproduced without permission:AI productivity tools " How to use Flux Kontext AI for localized precision editing of images?
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