Meta: Muse Image

Overview

Meta's image generation and editing model on Meta Model API, with built-in web and image search.

Provider

Meta

Modality

Image generation

Input

text, image

Output

image

Weights

Closed

Distillable

NoLicence or terms, checked October 8, 2026.

Tags

image-generation, image-editing

Docs

Provider documentation

Data policy

Prompts go to

Meta (Meta Model API)

Retention

Standard tier: prompts and completions not used to train Meta models, Contributor tier allows training in exchange for lower prices. No retention period published in the API docs

Zero data retention

Not stated by the provider

Region

Not stated

Policy

Meta data policy

Summarised from the provider's published terms. The provider's own policy is what applies.

Where you can run it

How Muse Image can be deployed, bought and reached through Safeguard.

Deployment

Public cloudPrivate cloud

Procurement

Not published yet

Inference regions

Not published yet

Closed weights stay with the provider, so this model runs in the provider's cloud, never on-prem or air-gapped.

Pricing

Notes

Per image: $0.01 per generated image (search included). Not token-priced, so per-1M fields are null.

Source

Meta pricing , last verified October 8, 2026

No markup on model usage: you pay the provider's list price.

API

OpenAI-compatible. Your API key and access to this model are set up for your workspace when you choose Use with Safeguard.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.safeguard.sh/gpt/v1",
    api_key="SAFEGUARD_API_KEY",
)

response = client.chat.completions.create(
    model="meta/muse-image-1.0",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Base URL https://api.safeguard.sh/gpt/v1, model meta/muse-image-1.0.