Clothing & Accessories Replacement
Ecommerce
Opensource
Outfit replacement
Video to Video
0
131
AI Video Edit — Workflow Overview
This workflow enables precise video-to-video editing by applying user-defined changes (outfit, object, scene, or style) to an existing video without breaking motion, composition, or realism. The original video’s structure is preserved, while only the requested elements are edited—resulting in a natural, professional-looking output.
No manual masking, no frame-by-frame editing, and no full regeneration.
How It Works (Step-by-Step)
1. Load the Source Video
The input video is loaded and decomposed into frames while preserving:
Motion and timing
Camera framing
Original lighting and scene context
Audio track
This video acts as the visual foundation.
2. Normalize Frames & Resolution
Frames are resized and sampled to a consistent resolution and frame rate to ensure:
Stable temporal edits
Model compatibility
Smooth reconstruction
3. Define the Edit Intent (AI-Assisted)
The user’s request is refined into a clear, structured edit prompt (change, add, replace, or transform).
This defines:
What should change
Visual details such as material, texture, lighting, and style
The overall creative intent
4. Apply Targeted Video Edits
Edits are applied directly to the video content while:
Preserving motion and pose
Maintaining scene continuity
Avoiding full-scene regeneration
Only the requested elements are modified.
5. Sample & Decode Frames
The edited frames are processed with controlled refinement to ensure:
Temporal consistency
Realistic blending
Minimal artifacts
6. Rebuild the Final Video
Edited frames are recombined with the original audio into a final high-quality video file.
Final Result
A polished, professional video where only the intended elements are changed, while motion, composition, lighting, and audio remain intact—ideal for creative edits, concept testing, and rapid video iteration.
Read more
Nodes & Models
LLM_floyo
Text Multiline
LayerUtility: TextJoin
VHS_LoadVideo
VHS_VideoCombine
VHS_LoadVideo
VHS_VideoCombine
ImageResizeKJv2
ImageResizeKJv2
ImageResizeKJv2
easy showAnything
LucyConditionConcatNode
AI Video Edit — Workflow Overview
This workflow enables precise video-to-video editing by applying user-defined changes (outfit, object, scene, or style) to an existing video without breaking motion, composition, or realism. The original video’s structure is preserved, while only the requested elements are edited—resulting in a natural, professional-looking output.
No manual masking, no frame-by-frame editing, and no full regeneration.
How It Works (Step-by-Step)
1. Load the Source Video
The input video is loaded and decomposed into frames while preserving:
Motion and timing
Camera framing
Original lighting and scene context
Audio track
This video acts as the visual foundation.
2. Normalize Frames & Resolution
Frames are resized and sampled to a consistent resolution and frame rate to ensure:
Stable temporal edits
Model compatibility
Smooth reconstruction
3. Define the Edit Intent (AI-Assisted)
The user’s request is refined into a clear, structured edit prompt (change, add, replace, or transform).
This defines:
What should change
Visual details such as material, texture, lighting, and style
The overall creative intent
4. Apply Targeted Video Edits
Edits are applied directly to the video content while:
Preserving motion and pose
Maintaining scene continuity
Avoiding full-scene regeneration
Only the requested elements are modified.
5. Sample & Decode Frames
The edited frames are processed with controlled refinement to ensure:
Temporal consistency
Realistic blending
Minimal artifacts
6. Rebuild the Final Video
Edited frames are recombined with the original audio into a final high-quality video file.
Final Result
A polished, professional video where only the intended elements are changed, while motion, composition, lighting, and audio remain intact—ideal for creative edits, concept testing, and rapid video iteration.
Read more

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