Meta: Muse Image

meta/muse-image

Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image models, it reasons before it renders, breaking...

Modalities: text+image->image
Price: $2.40 / 1M 图像 token
Context: 66K
Released: Aug 26, 2026
Knowledge cutoff: —

Providers

Every request enters through InfAPI. One key calls every model in the catalog. Upstream groups, ratios, and tiers are not shown.

Endpoint	Input	Output	Context	Status
InfAPI	$2.40 / 1M 图像 token	—	66K	Available

Input: Text, Image
Output: Image
Tokenizer: Other
Max output: 58,982
Endpoint: Image

Pricing

Listed price for this model on this gateway. Token prices are per 1M tokens.

Item	Price	Unit
Inputprompt	$0	per 1M tokens
Outputcompletion	$0	per 1M tokens
Image tokensimage_token	$2.4	per 1M tokens
Image outputimage_output	$2.4	per 1M tokens

API

Send a prompt to the image endpoint. The response includes the generated image as base64.

Get your API key

Create a key on the keys page and set it as an environment variable: Keys

shell

export INFAPI_API_KEY=sk-...

Make your first request

Use meta/muse-image

Python

import base64
import requests

response = requests.post(
    "https://infapi.cc/v1/images",
    headers={
        "Authorization": "Bearer $INFAPI_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "meta/muse-image",
        "prompt": "A serene mountain landscape at sunset with dramatic clouds",
    },
)
response.raise_for_status()
for index, image in enumerate(response.json().get("data", [])):
    raw = base64.b64decode(image["b64_json"])
    with open(f"output_{index}.png", "wb") as handle:
        handle.write(raw)
    print(f"Saved image {index + 1}")

Endpoint

POST https://infapi.cc/v1/images

Authorization: Bearer $INFAPI_API_KEY

Using third-party SDKs

Point the OpenAI SDK at https://infapi.cc/v1 with $INFAPI_API_KEY. The HTTP samples above are the request shape this gateway accepts.

Python (OpenAI)

import base64
from openai import OpenAI

client = OpenAI(
    base_url="https://infapi.cc/v1",
    api_key="$INFAPI_API_KEY",
)

result = client.images.generate(
    model="meta/muse-image",
    prompt="A serene mountain landscape at sunset with dramatic clouds",
)
for index, image in enumerate(result.data):
    raw = base64.b64decode(image.b64_json)
    open(f"output_{index}.png", "wb").write(raw)

Supported parameters

max_tokens
Max tokens
Upper bound on generated tokens. Output stops at the limit.
repetition_penalty
Repetition penalty
Penalizes text that already appeared. Common on open models.
temperature
Temperature
Sampling temperature. Lower is steadier, higher is more varied. Often 0 to 2.
top_k
Top-K
Sample only from the K most likely tokens.
top_p
Top-p
Sample only from tokens whose cumulative probability reaches top_p.

FAQ

What is this model?

Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image mod…

How much does it cost?

$2.40 / 1M 图像 token

What inputs and outputs does it support?

text+image->image

When was it released?

Aug 26, 2026

Endpoint

Input

Output

Context

Status

InfAPI

$2.40 / 1M 图像 token

—

66K

Available

Item

Price

Unit

Inputprompt

per 1M tokens

Outputcompletion

per 1M tokens

Image tokensimage_token

$2.4

per 1M tokens

Image outputimage_output

$2.4

per 1M tokens

API

Send a prompt to the image endpoint. The response includes the generated image as base64.

Get your API key

Create a key on the keys page and set it as an environment variable: Keys

shell

export INFAPI_API_KEY=sk-...

Make your first request

Use meta/muse-image

Python

import base64
import requests

response = requests.post(
    "https://infapi.cc/v1/images",
    headers={
        "Authorization": "Bearer $INFAPI_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "meta/muse-image",
        "prompt": "A serene mountain landscape at sunset with dramatic clouds",
    },
)
response.raise_for_status()
for index, image in enumerate(response.json().get("data", [])):
    raw = base64.b64decode(image["b64_json"])
    with open(f"output_{index}.png", "wb") as handle:
        handle.write(raw)
    print(f"Saved image {index + 1}")

Endpoint

POST https://infapi.cc/v1/images

Authorization: Bearer $INFAPI_API_KEY

Using third-party SDKs

Point the OpenAI SDK at https://infapi.cc/v1 with $INFAPI_API_KEY. The HTTP samples above are the request shape this gateway accepts.

Python (OpenAI)

import base64
from openai import OpenAI

client = OpenAI(
    base_url="https://infapi.cc/v1",
    api_key="$INFAPI_API_KEY",
)

result = client.images.generate(
    model="meta/muse-image",
    prompt="A serene mountain landscape at sunset with dramatic clouds",
)
for index, image in enumerate(result.data):
    raw = base64.b64decode(image.b64_json)
    open(f"output_{index}.png", "wb").write(raw)

Supported parameters

max_tokens
Max tokens
Upper bound on generated tokens. Output stops at the limit.
repetition_penalty
Repetition penalty
Penalizes text that already appeared. Common on open models.
temperature
Temperature
Sampling temperature. Lower is steadier, higher is more varied. Often 0 to 2.
top_k
Top-K
Sample only from the K most likely tokens.
top_p
Top-p
Sample only from tokens whose cumulative probability reaches top_p.

FAQ

What is this model?

Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image mod…

How much does it cost?

$2.40 / 1M 图像 token

What inputs and outputs does it support?

text+image->image

When was it released?

Aug 26, 2026