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Complete breakdown
Japan Vlog
A vertical travel-vlog workflow that turns model-based reference stills into seven directed clips and one final CapCut edit.
This breakdown starts by creating reference images from a prebuilt model reference sheet, then uses each still for its matching video shot, with Seedance handling speech shots and Kling handling motion-driven scenes.
Reference Sheet PDFSeedance 2.0Kling 3.0CapCut
Workflow
- 1Create the still images that anchor the look, outfit, framing, and location for each later video shot.
- 2Use each still as the identity and composition reference for its matching motion clip.
- 3Arrange the generated clips into one vertical sequence, add stickers, and finish the social edit with music.
This direct link includes the complete breakdown and every file promised with the video.
Final montage
52.3 MB • 1440×2560 • 0:24
Breakdown Step
1. Reference images
Create the still images that anchor the look, outfit, framing, and location for each later video shot.
Each of these stills was created by first passing in a model reference sheet, then generating the final scene-specific reference image from that base.
The prompt for the underlying model image is intentionally not shown here. Instead, use the included character reference sheet PDF with your own model if you want to build a similar base reference setup.
Intro image
Airplane cabin selfie reference used for the spoken vlog opener.
Intro image prompt
Creates the airplane selfie still for the intro shot.
Intro image prompt
Creates the airplane selfie still for the intro shot.
Street food image
Tokyo alley selfie still used for the candied-strawberry street-food clip.
Street food image prompt
Creates the narrow-alley selfie still for the street-food shot.
Street food image prompt
Creates the narrow-alley selfie still for the street-food shot.
Deer park image
Deer park selfie still used for the candid deer interaction clip.
Deer park image prompt
Creates the deer-park selfie still for the Nara-style travel moment.
Deer park image prompt
Creates the deer-park selfie still for the Nara-style travel moment.
OOTD image
High-angle Tokyo outfit-check still used for the matcha and vending-machine clip.
OOTD image prompt
Creates the overhead streetwear still in front of vending machines.
OOTD image prompt
Creates the overhead streetwear still in front of vending machines.
Kyoto scenery image
Golden-hour Kyoto still used for the scenic walking transition shot.
Kyoto scenery image prompt
Creates the over-the-shoulder Kyoto travel still at sunset.
Kyoto scenery image prompt
Creates the over-the-shoulder Kyoto travel still at sunset.
Ramen image
Night ramen-bar still used for the fisheye mukbang-style food shot.
Ramen image prompt
Creates the close ramen selfie still with the enlarged fisheye bowl perspective.
Ramen image prompt
Creates the close ramen selfie still with the enlarged fisheye bowl perspective.
Notes
- The model reference-sheet prompt is not shown here. Use the included PDF with your own model if you want to recreate the same foundation step.
Breakdown Step
2. Video generation
Use each still as the identity and composition reference for its matching motion clip.
Each reference image feeds directly into its respective video scene, so the still and the motion clip stay tightly aligned in identity, outfit, and location.
Intro and outro were generated in Seedance 2.0 because those shots contain speech. The other clips were generated in Kling 3.0 because it handles directed motion more convincingly for this style of travel edit.
Intro
Seedance 2.0 • speech-first airplane intro clip.
Intro video prompt
Uses the intro still as a style reference for the spoken plane opener.
Intro video prompt
Uses the intro still as a style reference for the spoken plane opener.
Street food
Kling 3.0 • directed handheld motion around the strawberry bite.
Street food video prompt
Turns the alley selfie still into a street-food bite clip.
Street food video prompt
Turns the alley selfie still into a street-food bite clip.
Deer park
Kling 3.0 • directed expression change and subtle animal motion.
Deer park video prompt
Turns the deer selfie still into a candid interaction clip.
Deer park video prompt
Turns the deer selfie still into a candid interaction clip.
OOTD
Kling 3.0 • directed sip and pose transition.
OOTD video prompt
Turns the vending-machine still into a stylized outfit-check clip.
OOTD video prompt
Turns the vending-machine still into a stylized outfit-check clip.
Kyoto scenery
Kling 3.0 • directed turn and walk with scenic follow motion.
Kyoto scenery video prompt
Turns the Kyoto still into a walking sunset travel clip.
Kyoto scenery video prompt
Turns the Kyoto still into a walking sunset travel clip.
Ramen
Kling 3.0 • directed food interaction and mukbang-style motion.
Ramen video prompt
Turns the ramen still into a fisheye mukbang-style tasting clip.
Ramen video prompt
Turns the ramen still into a fisheye mukbang-style tasting clip.
Notes
- Seedance 2.0 was chosen for intro and outro because the speech felt more natural there.
- Kling 3.0 was used for the other clips because directed motion was stronger and more controllable.
Breakdown Step
3. Final CapCut assembly
Arrange the generated clips into one vertical sequence, add stickers, and finish the social edit with music.
After the individual clips were generated, they were imported into CapCut and arranged into the final travel-vlog sequence.
Stickers were added in the edit, and Touch The Sky was used as the background music for the final result.
Notes
- The soundtrack is referenced here for context only. The raw MP3 is intentionally not exposed as a downloadable asset.
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