Create Multiple Camera Angles In Nano Banana Pro For AI Filmmaking
Node-based multi-model workflows solve the core AI filmmaking challenge of maintaining character and narrative consistency across multiple camera angles.
What this lesson covers
This tutorial demonstrates how to build multi-node workflows inside Imagine Art using Nano Banana Pro and Cling 2.6 Pro to maintain character and scene consistency. The workflow enables creators to generate multiple camera angles and sequential story moments from a single base image.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 0:07 ↗
Imagine Art allows creators to build custom node workflows combining character generation, prompt combiners, routers, and video generators.
- 1:10 ↗
The character builder node connects to a prompt combiner and an image generator like Nano Banana Pro to define a consistent character's identity, ethnicity, role, and outfit.
- 2:07 ↗
Using a router node, a single input image can be simultaneously sent to multiple image generators configured for different camera angles such as high-angle, extreme macro, wide, and low-angle shots.
- 2:43 ↗
Generated images are fed into video generation nodes powered by Cling 2.6 Pro to animate the multi-angle shots with natural movement.
Workflow outlined in the video
- Sign up for Imagine Art and navigate to the workflow builder section.
- Set up a character builder node specifying identity, ethnicity, role, features, and setting details.
- Attach a router node to your base image generator to distribute the reference image into multiple camera angle prompts.
- Connect your generated multi-angle images to video generation nodes like Cling 2.6 Pro to produce animated clips.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
89,876 views captured 23 October 2026. ReelStack recommendation score: 27/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.68× views vs 6 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 35 views/day vs 44 channel baseline (3 comparable uploads), with the same view-evidence factor
- 10% engagement: 2/100; likes + 4× comments, smoothed with a 500-view neutral prior