Text to image
Elo · text-to-image arena
Custom pricing for production workloads
Meta Superintelligence Labs' first image generation model -- reasons through a prompt before rendering for more reliable text-in-image and multi-step composition.
Meet Meta Muse Image -- Meta's first image generation model from Meta Superintelligence Labs.
meta/muse-imagePOST https://api.aimlapi.com/v1/images/generationsMeta Muse Image is the first image generation model from Meta Superintelligence Labs. Unlike models that map a prompt straight to pixels, Muse Image reasons through the request first, planning composition, then generating, and reviews its own draft inside its chain of thought, making local edits or full regenerations when something's off. The practical result is more reliable text-in-image, layouts, and multi-step prompts than a pure diffusion model tends to produce.
Generate on-brand imagery, ads, and product mockups from text prompts, with legible in-image text and consistent styling across a series.
Accurate text rendering makes it a practical fit for step-by-step graphics and interface mockups, areas pure diffusion models tend to fumble.
Anchored composition keeps character, style, and setting consistent from one generation to the next, useful for storyboards or campaign sets.
Muse Image is documented for general image generation and editing, including creating images from text prompts, editing existing images while keeping the rest intact, and refining results through an ongoing conversation. It is also described as suited to instruction-following creative work, such as following complex prompts faithfully and composing images from multiple references.
It is documented for grounded, real-world image creation, including redesigning a room with real products from the web or Marketplace. It is also described as useful for advertiser workflows, including producing on-brand ad variations, swapping styles, and creating campaign creative with fewer iterations.
It is documented for social and app-integrated image workflows, including generating images in direct chats, powering Instagram Stories effects, and creating edits that use photos as inputs. Meta also describes it as capable of using web search to ground generated images in factual and real-time information and visual references.
Human-preference results for Meta Muse Image in text to image, next to models available on AI/ML API. Data retrieved Nov 3, 2026.
Elo · text-to-image arena
USD per generation
Arena results for models you can call with the same API key.
Blind pairwise human votes on images generated from text prompts. Meta Muse Image ranks #8 of 98.
| Usage | Price | Unit |
|---|---|---|
| Image generation | $0.01 | per generation |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API rates for 5 models, per generation.
| Model | Per generation |
|---|---|
| $0.01 | |
| $0.01 | |
| $0.02 | |
| $0.025 | |
| $0.025 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/images/generations' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "meta/muse-image",
"prompt": "A ginger cat asleep on a stack of exactly three hardcover books in a rainy bookshop window at dusk. Gold lettering on the glass reads OPEN LATE. Warm lamp light inside, raindrops and blurred neon reflections outside, 35mm film photo."
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "meta/muse-image",
"prompt": "A ginger cat asleep on a stack of exactly three hardcover books in a rainy bookshop window at dusk. Gold lettering on the glass reads OPEN LATE. Warm lamp light inside, raindrops and blurred neon reflections outside, 35mm film photo."
}
response = requests.post("https://api.aimlapi.com/v1/images/generations", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/images/generations", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "meta/muse-image",
"prompt": "A ginger cat asleep on a stack of exactly three hardcover books in a rainy bookshop window at dusk. Gold lettering on the glass reads OPEN LATE. Warm lamp light inside, raindrops and blurred neon reflections outside, 35mm film photo."
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Meta Muse Image takes text as input and returns image.
Meta Muse Image became available on August 26, 2026.
Meta Muse Image costs $0.01 per generation on AI/ML API, billed as you go with no subscription.
Meta Muse Image is billed per generation, a fixed charge per output rather than by prompt length.
Meta Muse Image was built by Meta.
Send a request to https://api.aimlapi.com/v1/images/generations with meta/muse-image as the model id.
Yes. Meta Muse Image is served through AI/ML API, so the same key and endpoint format used for other models applies.
Muse Image renders fine details like text, plots and QR codes accurately, according to its description.
Meta describes Muse Image as having faithful instruction-following, meaning it closely follows the details given in a prompt.
Use meta/muse-image as the model parameter. Requests go to https://api.aimlapi.com/v1/images/generations with your AI/ML API key.