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This workflow performs a complete outfit replacement on an image and then uses that updated outfit as a reference to restyle an entire video. It preserves the subject’s face, hair, pose, and identity throughout the process, ensuring consistency across both image and video.
Purpose: Swap the subject’s outfit using a reference clothing image, with precise automatic masking.
Reference Outfit Image: The clothing design you want applied.
Target Person Image: The subject whose outfit will be replaced.
Clothing Segmentation (RMBG): Automatically detects and masks specific parts of the person.
You can enable any of these to control which areas are included in the outfit replacement:
Hat
Hair
Face
Sunglasses
Upper Clothes
Skirt
Dress
Belt
Pants
Left Arm
Right Arm
Left Leg
Right Leg
Bag
Scarf
Left Shoe
Right Shoe
Background
Processing Resolution – Sets segmentation quality (1024 recommended).
Mask Blur – Softens mask edges.
Mask Offset – Expands or reduces mask area.
Invert Output – Inverts mask selection.
Background Mode – Controls how output blends.
Automatically segments the selected clothing parts.
Replaces only the specified outfit areas while keeping the face, hair, pose, and identity unchanged.
Produces a clean, realistic updated outfit image used as the reference for video restyling.
Edited Outfit Image (used in Stage 2).
Purpose: Apply the updated outfit from Stage 1 to a full vertical video.
Vertical Video File (MP4): The original video you want to restyle.
Edited Outfit Image: Automatically passed from Stage 1.
Video Prompt: Optional text for describing the outfit look.
Resolution: Optimized for vertical formats (e.g., 1080×1920).
Frame Controls: Frame cap, skip frames, and nth frame selection.
Transfers the new outfit style across all video frames.
Preserves facial details, expressions, motion.
Ensures consistent clothing appearance throughout the video.
A natural-looking vertical video where the outfit is replaced, but the subject and motion remain unchanged.
Read more
This workflow performs a complete outfit replacement on an image and then uses that updated outfit as a reference to restyle an entire video. It preserves the subject’s face, hair, pose, and identity throughout the process, ensuring consistency across both image and video.
Purpose: Swap the subject’s outfit using a reference clothing image, with precise automatic masking.
Reference Outfit Image: The clothing design you want applied.
Target Person Image: The subject whose outfit will be replaced.
Clothing Segmentation (RMBG): Automatically detects and masks specific parts of the person.
You can enable any of these to control which areas are included in the outfit replacement:
Hat
Hair
Face
Sunglasses
Upper Clothes
Skirt
Dress
Belt
Pants
Left Arm
Right Arm
Left Leg
Right Leg
Bag
Scarf
Left Shoe
Right Shoe
Background
Processing Resolution – Sets segmentation quality (1024 recommended).
Mask Blur – Softens mask edges.
Mask Offset – Expands or reduces mask area.
Invert Output – Inverts mask selection.
Background Mode – Controls how output blends.
Automatically segments the selected clothing parts.
Replaces only the specified outfit areas while keeping the face, hair, pose, and identity unchanged.
Produces a clean, realistic updated outfit image used as the reference for video restyling.
Edited Outfit Image (used in Stage 2).
Purpose: Apply the updated outfit from Stage 1 to a full vertical video.
Vertical Video File (MP4): The original video you want to restyle.
Edited Outfit Image: Automatically passed from Stage 1.
Video Prompt: Optional text for describing the outfit look.
Resolution: Optimized for vertical formats (e.g., 1080×1920).
Frame Controls: Frame cap, skip frames, and nth frame selection.
Transfers the new outfit style across all video frames.
Preserves facial details, expressions, motion.
Ensures consistent clothing appearance throughout the video.
A natural-looking vertical video where the outfit is replaced, but the subject and motion remain unchanged.
Read more
