How Autotube uses Nano Banana 2.1.
Google's newest image model, and the one every Google scene in Autotube now runs on: the same cast across a whole video, the largest reference budget on this site, and a value-tier price — with a 2K tier when a scene needs a full 1080p frame.
11 credits per image
Why Nano Banana 2.1 is in the catalog.
One cast, forty scenes
A project defines its cast once, and every scene with a character in it is generated from that character's references. A forty-scene video does not quietly recast its lead halfway through, and the same references carry into the next video.
The largest cast here
The largest reference-image budget of the models on this site, with character and style references mixed in one request — a crowded scene with a real cast and the channel's look, in the same frame.
A 2K tier for 1080p
A scene runs at roughly one megapixel by default, composed as a 720p frame. Pick its 2K tier for the shots that need a full 1080p frame — the cold open, the thumbnail frame, the shots the story turns on.
Every scene in one run
It batches across a whole video, so a hundred-scene shot list is generated in one run rather than a scene at a time, with no fixed prompt-length cap on any of them.
Specs, from the app’s own catalog
- Output size
- 1K images, 720p scene frames
- Consistent characters
- Yes, from reference images
- Reference images
- Up to 14 per scene
- Style reference
- Yes, alongside character references
- Match an input image
- No, a preset ratio only
- Prompt length
- No fixed cap
- Whole-video batches
- Yes, every scene in one run
Priced in credits, before it runs.
11 credits per image
Flat per image at the default tier, so the figure above holds for every scene regardless of prompt length or how many references are attached. The 2K tier costs more per image; the estimator prices the whole run, at whichever tier each scene uses, before it generates anything.
Nano Banana 2.1 against the other image models.
| Muse Image | Nano Banana 2.1 | Grok Imagine | GPT Image 2 | GPT Image 2.5 Flare | |
|---|---|---|---|---|---|
| Credits | 3 credits per image | 11 credits per image | 6 credits per image | Priced from the request | 4 credits per image |
| Output size | 2K images, 1080p scene frames | 1K images, 720p scene frames | 2K images, 1080p scene frames | 1K images, 720p scene frames | 2K images, 1080p scene frames |
| Consistent characters | Yes, from reference images | Yes, from reference images | Yes, from reference images | Yes, from reference images | Yes, from reference images |
| Reference images | Up to 10 per scene | Up to 14 per scene | Up to 5 per scene | Up to 10 per scene | Up to 10 per scene |
| Style reference | Yes, alongside character references | Yes, alongside character references | Yes, alongside character references | Yes, alongside character references | Yes, alongside character references |
| Match an input image | No, a preset ratio only | No, a preset ratio only | Yes, instead of a preset ratio | No, a preset ratio only | No, a preset ratio only |
| Prompt length | No fixed cap | No fixed cap | No fixed cap | No fixed cap | No fixed cap |
| Whole-video batches | Yes, every scene in one run | Yes, every scene in one run | Yes, every scene in one run | No, one image at a time | Yes, every scene in one run |
What Nano Banana 2.1 will not do.
- By default it returns roughly one-megapixel images, used as 720p scene frames; 1080p frames come from its 2K tier, at a higher price per image.
- It cannot match an input image's aspect ratio — it composes to a preset. Where a scene is built around a still you supplied, Grok Imagine keeps that still's shape.
- It is a still-image model; a scene that needs motion belongs on a video model.
Nano Banana 2.1: common questions
Nano Banana 2.1 against Google's earlier models.
The rest of the catalog.
Try Nano Banana 2.1 on your next video.
Every plan reaches every model in the catalog, and the app shows the exact credit cost before it runs a thing.