Floyo
Floyo
Workflows
API
Pricing
Floyo
Floyo
Workflows
API
Pricing

Vertical Video Clothing Replacement with Image Reference

1.4k

Generates in about 6 mins 22 secs

Nodes & Models

DualCLIPLoader
Note
UNETLoader
GetNode
Label (rgthree)
PrimitiveInt
CLIPVisionLoader
StyleModelLoader
VAELoader
MarkdownNote
LoadImage
CLIPTextEncode
PreviewImage
SetNode
FluxGuidance
ConditioningZeroOut
GrowMask
ImageBlend
EmptyImage
MaskToImage
ImageToMask
InpaintModelConditioning
KSampler
VAEDecode
ImageCrop
WanVideoSLG
WanVideoTeaCache
WanVideoLoraSelect
LoadWanVideoClipTextEncoder
WanVideoVAELoader
LoadWanVideoT5TextEncoder
WanVideoModelLoader
WanVideoEncode
WanVideoTextEncode
WanVideoControlEmbeds
WanVideoClipVisionEncode
WanVideoImageToVideoEncode
WanVideoSampler
WanVideoDecode
VHS_LoadVideo
VHS_VideoInfo
VHS_VideoCombine
WanVideoLoraSelect
LoadWanVideoClipTextEncoder
WanVideoVAELoader
LoadWanVideoT5TextEncoder
WanVideoModelLoader
ImageResizeKJ
ImageResizeKJ
AddLabel
ImageConcanate
ImageAndMaskPreview
ImageConcatMulti
ImageResizeKJ
AddLabel
ImageConcanate
ResizeMask
ImageAndMaskPreview
ImageConcatMulti
easy float
ImageResize+
MaskPreview+
ClothesSegment
Scribble_XDoG_Preprocessor
MiDaS-DepthMapPreprocessor
DWPreprocessor
Scribble_XDoG_Preprocessor
MiDaS-DepthMapPreprocessor
DWPreprocessor
DWPreprocessor
TeaCache
WanVideoEncode
ImpactGaussianBlurMask
ReduxAdvanced
FinalFrameSelector
FinalFrameSelector
RIFE VFI

Vertical Video Clothing Replacement with Image Reference

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.

Stage 1 — Outfit Replacement (Image)

Purpose: Swap the subject’s outfit using a reference clothing image, with precise automatic masking.

Inputs

  • 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.

Clothing Segmentation (RMBG) – Selectable Mask Options

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

Additional Mask Controls

  • 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.

Process

  • 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.

Output

  • Edited Outfit Image (used in Stage 2).


Stage 2 — Video Restyle (Vertical Video)

Purpose: Apply the updated outfit from Stage 1 to a full vertical video.

Inputs

  • 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., 1080Ă—1920).

  • Frame Controls: Frame cap, skip frames, and nth frame selection.

Process

  • Transfers the new outfit style across all video frames.

  • Preserves facial details, expressions, motion.

  • Ensures consistent clothing appearance throughout the video.

Output

  • A natural-looking vertical video where the outfit is replaced, but the subject and motion remain unchanged.

Read more

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