How Autotube uses GPT Image 2.
OpenAI's precision tool, for the image that has to come out a specific way. It follows an instruction unusually literally, and it is the one model here billed from the request rather than at a flat price.
Priced from the request
Why GPT Image 2 is in the catalog.
Unusually literal
It follows an instruction unusually literally, which makes it the model for an image you are going to look at closely: a thumbnail concept, a title card, a diagram-like explainer frame.
Change one thing
Reference-driven edits are its other job: an existing picture changes in the one way you asked for and stays the same in every other.
A generous reference budget
Character and style references in the same request, and a character stays consistent when you give it the references to work from.
One image at a time
Autotube treats it as a one-at-a-time tool rather than a batch engine. It is not offered as the model that fans out across every scene of a video, which is the use it is worst suited to on price.
Specs, from the app’s own catalog
- Output size
- 1K images, 720p scene frames
- Consistent characters
- Yes, from reference images
- Reference images
- Up to 10 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
- No, one image at a time
Priced in credits, before it runs.
Priced from the request
GPT Image 2 is the one model on this site with no flat per-image price to quote: it is billed from the request itself, so the cost moves with the prompt's length, the number and size of the reference images, and the output dimensions. That is why this page shows no single number. The app resolves the exact figure from your actual settings and shows it before the image is generated.
GPT Image 2 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 GPT Image 2 will not do.
- It is not offered as a whole-video batch model — it generates one image at a time rather than fanning out across every scene.
- It has no flat price. The cost is computed from the request, so a long prompt with several large references costs more than a short one.
- Its output is roughly one megapixel, so as a scene frame it composes at 720p.
GPT Image 2: common questions
The rest of the catalog.
Try GPT Image 2 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.