PhotoGPT use case
Create a viral Spilled Matcha Trend video using PhotoGPT Flow: upload a portrait or full-body photo, preserve identity, generate frozen matcha keyframes, and export short-form versions for TikTok, Reels, and Shorts.
This workflow combines the source assets, prompts, and mid outputs needed to produce the trend output.
Inputs and progress
Source assets and intermediate results used before the trend output is finalized.
Final output
Go to workflowThe final generated trend video is playable here. Click the preview to play or pause.
Every model choice, prompt and output stays on one visual canvas, from the first input to the finished result.
Upload a portrait or full-body image that clearly shows the person you want to recreate in the trend.
Behind the scenes, PhotoGPT generates the visual reference, first frame, and last frame while preserving the upload...
Create the video prompt that defines the camera movement between the frozen keyframes, then generate the final tren...
Export TikTok, Instagram Reels, and YouTube Shorts versions.
Plan each generation step as a visible node, then connect prompts, assets, motion, and final renders into one reusable graph.
Mix image and video models in the same canvas, compare branches, and route the strongest output into the next step.
Preview the exact public workflow, clone it into your account, and replace the starting assets while keeping the structure intact.
Package the generated matcha frames and video outputs into short-form posts for TikTok, Reels, Shorts, and creator launch drops.
creatorstudio Start with one photo, build the whole trend in Flow.
creatorstudio Frozen keyframes locked for a clean perspective shift.
creatorstudio Final trend asset ready for the next post.
A few rules that make the campaign graph easier to build and run.
These details help the workflow preserve the uploaded person.
The trend effect depends on camera movement, not object animation.
Identity drift breaks the perspective-shift illusion.
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LinkedIn Profile Polish. Create polished profile photos while keeping inputs, prompts, and outputs traceable.
On Brand Visuals. Generate product-led visuals that carry the same brand system across every output.
Spilled Matcha Trend. Prepare first-frame assets and motion prompts before sending the best branch into video.
Outfit Visualization. Create image variations from a subject reference and style request without losing context.
Thank you for taking the time to explore this workflow guide.
PhotoGPT Flow is designed to help creators turn a single user photo into trend-ready video content with connected image and video generation steps.
We truly value your feedback. If you have any thoughts, questions, or ideas, please share them with us — we are always listening, and solving real problems is our priority.
If you'd like to go further, you're warmly invited to join our Discord community. There, you can explore workflow templates, see community builds, and share your voice directly with our team and other creators.
— Yun
Content Team Lead
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