Product Photo to Multi Angle Social Video Pipeline
N8N
Project's Category
Intro
This one takes a single product photo and turns it into a finished, multi angle video ready to post. It crops the source image into several regions, generates a short Veo clip for each one, then stitches everything into one video and pushes it out through Blotato.
Problems
The client had solid product photography but no fast way to turn a still image into video content for social. Manually cropping, animating, and stitching multiple clips together for every product would have taken forever to do at any real volume.
Solutions
We built a three stage n8n pipeline. The first stage runs the source image through NanoBanana to analyze and edit it. The second builds a contact sheet version of the image for reference. The third crops the edited image into several regions, top left, top center, top right, and so on, uploads each crop to Google Drive, and fires off a separate Veo 3.1 generation for each one in parallel. Once the clips come back they get merged into a single video and published through Blotato.
Final Thoughts
The parallel Veo generation is the part worth stealing for other projects. Running four or five clips at once instead of one after another cuts the wait down a lot. The tradeoff is more moving parts to babysit if one of those generation calls times out mid run.
Product Photo to Multi Angle Social Video Pipeline
N8N
Project's Category
Intro
This one takes a single product photo and turns it into a finished, multi angle video ready to post. It crops the source image into several regions, generates a short Veo clip for each one, then stitches everything into one video and pushes it out through Blotato.
Problems
The client had solid product photography but no fast way to turn a still image into video content for social. Manually cropping, animating, and stitching multiple clips together for every product would have taken forever to do at any real volume.
Solutions
We built a three stage n8n pipeline. The first stage runs the source image through NanoBanana to analyze and edit it. The second builds a contact sheet version of the image for reference. The third crops the edited image into several regions, top left, top center, top right, and so on, uploads each crop to Google Drive, and fires off a separate Veo 3.1 generation for each one in parallel. Once the clips come back they get merged into a single video and published through Blotato.
Final Thoughts
The parallel Veo generation is the part worth stealing for other projects. Running four or five clips at once instead of one after another cuts the wait down a lot. The tradeoff is more moving parts to babysit if one of those generation calls times out mid run.
Building the automation systems that handles business processes.
Clear Communication
Reliable
Professional
Reliable Quality
Building the automation systems that handles business processes.
Clear Communication
Reliable
Professional
Reliable Quality
