PhotoGPT use case
Build a full brand advertisement campaign inside PhotoGPT Flow: upload product, prop, model, and studio assets, connect generation nodes, create first and last frames, then turn them into campaign videos.
This workflow combines the source assets, prompts, and mid outputs needed to produce the brand campaign output.
Inputs and progress
Source assets and intermediate results used before the brand campaign output is finalized.
Final output
Go to workflowThe final generated campaign 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.
Use Uploads nodes for product images and videos, props, model images and videos, plus studio references.
Connect props and studio nodes to an image generation node, then prompt it to create the scene setup.
Connect product and model assets to an image generation node to create the final appearance for the scene.
For each scene, create a first frame and last frame before generating the final video.
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.
A few rules that make the campaign graph easier to build and run.
The product asset is the base input for the brand advertisement.
Separate groups make it easier to understand which assets are required for each part of the advertisement setup and final appearance generation.
Video generation nodes need the first and last frames to be ready so they have a clear visual direction for the required video duration.
This establishes the environment before placing the product and model.
On Brand Visuals. Turn product and brand assets into a reusable graph for consistent campaign visuals.
UGC Video Creator. Turn a creator concept into social-ready scenes, hooks, and short-form video variations.
Brand Advertisement Campaign. Connect products, props, model references, and final shots into one campaign pipeline.
B-Roll Generation. Plan cinematic product shots, first frames, and motion-ready outputs on one canvas.
Magazine Posters. Compose repeatable creative systems for poster layouts, art direction, and campaign assets.
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 our content.
PhotoGPT Flow is designed to help brands plan a full Advertising Campaign visually, from uploaded assets to generated scenes and campaign videos.
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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