V1.2 Upgrade:
1. Additional support for uploading portrait photography images in the uploaded images to be processed (the previous version only supported uploading half-body or full-body photos with similar compositions to the reference images).
2. Removed the manual masking and number selection features for individual outfit changes, reducing workflow burden appropriately.
3. Added a masking positioning computation group to facilitate workflow disassembly and learning review.
4. Added color matching optimization, significantly improving images with large color spans. Can be manually enabled as needed.
V1.6 Upgrade:
1. Rewritten nodes to replace the complex facial positioning computations in the original workflow. The new nodes automatically locate the face, and the face shape is automatically adjusted to match the angle of the reference image, offering better compatibility for images with tilted faces.
2. Fine-tuned some details.
Suggestions:
Upload high-definition portrait or half-body photos for the images to be processed.
Use vertical, high-definition, and strongly styled images as reference images, such as fashion portraits, style photos, clothing model photos, or stills.
If there is a significant difference in color and lighting between the two images, please enable color matching; otherwise, keep it disabled by default to avoid a decrease in image quality.
One-click to complete face swapping, outfit changing, and background replacing. Users only need to upload one photo to be processed and one reference image to generate high-quality face swap and outfit change effects with one click, applicable to personal portraits, wedding photo outfit changes, background replacements, virtual try-ons, and more.
Main Features:
Applicable Scenarios:
V1.2 Upgrade:
1. Additional support for uploading portrait photography images in the uploaded images to be processed (the previous version only supported uploading half-body or full-body photos with similar compositions to the reference images).
2. Removed the manual masking and number selection features for individual outfit changes, reducing workflow burden appropriately.
3. Added a masking positioning computation group to facilitate workflow disassembly and learning review.
4. Added color matching optimization, significantly improving images with large color spans. Can be manually enabled as needed.
V1.6 Upgrade:
1. Rewritten nodes to replace the complex facial positioning computations in the original workflow. The new nodes automatically locate the face, and the face shape is automatically adjusted to match the angle of the reference image, offering better compatibility for images with tilted faces.
2. Fine-tuned some details.
Suggestions:
Upload high-definition portrait or half-body photos for the images to be processed.
Use vertical, high-definition, and strongly styled images as reference images, such as fashion portraits, style photos, clothing model photos, or stills.
If there is a significant difference in color and lighting between the two images, please enable color matching; otherwise, keep it disabled by default to avoid a decrease in image quality.
One-click to complete face swapping, outfit changing, and background replacing. Users only need to upload one photo to be processed and one reference image to generate high-quality face swap and outfit change effects with one click, applicable to personal portraits, wedding photo outfit changes, background replacements, virtual try-ons, and more.
Main Features:
Applicable Scenarios:











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