How Autotube uses Muse Image.
Meta's Muse Image is what a scene is generated with unless you pick something else: 2K frames, consistent characters, and ten reference images per scene.
3 credits per image
Why Muse Image is in the catalog.
The default scene model
Every scene uses it unless you choose otherwise, so a run needs no model decision at all. Each step still shows its exact credit cost before it generates anything.
2K frames
It returns a 2K output class, which is what a 1080p scene frame wants — no upscaling between the model and the timeline.
Ten references a scene
Up to ten reference images per scene, and cast and style references can go in the same request, so an ensemble shot and the channel's look hold together.
Every scene in one run
It batches across a whole video, so a long shot list is generated in one run rather than a scene at a time.
Specs, from the app’s own catalog
- Output size
- 2K images, 1080p 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
- Yes, every scene in one run
Priced in credits, before it runs.
3 credits per image
Muse Image sits in the value tier, which is what makes it a sensible default for a shot list that runs to a hundred scenes. The estimator prices the whole run before it generates anything, so the figure above is the one you can multiply by the scene count.
Muse Image 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 Muse Image will not do.
- 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. For motion, the clip models animate a scene once the frame exists.
Muse Image: common questions
The rest of the catalog.
Try Muse Image 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.