Muse Image
Meta · AI imageMuse Image is an agentic image generation model from Meta. Unlike single-pass models, it reasons about the prompt before rendering, then produces the image from text and optional reference images.
On VidMachine it is billed at 2 credits per generated image, making it one of the lowest-cost models for scene stills and start frames.
Key features and benefits
Reasoning before rendering
Muse Image is designed as an agentic model: it works through the request before producing pixels, which helps with complex scenes, composition instructions, and prompt details that single-pass models often miss.
Text-to-image and editing
Generate an image from a prompt alone, or attach up to 10 reference images to guide style, character consistency, and edits. VidMachine passes project and previous-segment references when available.
Aspect ratios
Muse Image accepts custom aspect ratios, including 9:16 and 16:9. VidMachine sends the project ratio through, and Muse renders that shape at its own resolution of about 2.5 megapixels — for example 1152×2048 for portrait and 2048×1152 for landscape.
Managed generation
On VidMachine this model is managed for you: text-to-image at meta/muse-image/text-to-image, and reference edits at meta/muse-image/edit. Billing uses VidMachine credits per image.
Low credit cost
At 2 credits per image, Muse Image is a cost-efficient option for high-volume scene generation and iteration alongside Pruna AI's P-Image.
Technical specifications
ProviderMeta
Model endpointsmeta/muse-image/text-to-image, meta/muse-image/edit
InputsText and up to 10 reference images
OutputPNG, about 2.5 megapixels
Aspect ratiosCustom, including 9:16 and 16:9 (between 1:16 and 16:1)
Credits2 per image
Use cases and applications
Muse Image suits automated shorts pipelines—starting frames for AI Video, full scene stills for AI Images, and high-volume iteration where per-image cost matters.
Use it when a scene prompt has layered composition or detail requirements and you want the model to reason about the request before rendering.
Why this model
Choose Muse Image for Meta-backed, agentic image generation at a flat 2 credits per image, with native 9:16 and 16:9 output.
How VidMachine uses it
Internal model id: muse-image. A prompt alone goes to meta/muse-image/text-to-image. When reference images are attached, the same request goes to meta/muse-image/edit. The project aspect ratio (9:16 or 16:9) is sent as aspect_ratio, so the image is generated at that shape.
Reference images from the project and previous segment frames are attached as image_urls when available (up to 10). References larger than Muse's 16.7-megapixel input ceiling are skipped, since the model rejects them.
Billed at 2 credits per generated image.
What you should know
Do I need my own API key to use Muse Image on VidMachine?
No — VidMachine runs the model for you and bills 2 credits per image. Select muse-image in the model priority list.
Can Muse Image generate exact 9:16 or 16:9 images?
Yes. VidMachine sends 9:16 or 16:9 as the aspect ratio, and the model renders that ratio at about 2.5 megapixels (1152×2048 or 2048×1152).
How much does Muse Image cost?
2 credits per generated image on VidMachine.
Does it support reference images?
Yes. Muse Image accepts up to 10 reference images alongside a text prompt for guided generation and editing; VidMachine passes available project and segment references.