Source: https://ailoot.ai/models/en/meta-muse-image/ Canonical: https://ailoot.ai/models/en/meta-muse-image/ Language: en # Meta: Muse Image [Markdown](https://ailoot.ai/models/en/meta-muse-image/index.md) · [JSON](https://ailoot.ai/models/en/meta-muse-image/facts.json) ## [Meta: Muse Image](https://ailoot.ai/models/en/meta-muse-image/) Muse Image creates and revises images from text and visual references. Use meta/muse-image with the Images method to describe a new composition or guide a change with an existing image. It returns image outputs in a complete response, with no native image streaming listed for this profile. - [**Ailoot Ultra · Images** `POST /v1/images/generations` `meta/muse-image`](https://ailoot.ai/models/en/meta-muse-image/#method-0) About the model This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below. Muse Image is Meta’s image-generation model selected with the exact ID meta/muse-image. Its documented inputs are text and images, and its output is an image. Use the Images method at POST /v1/images/generations to prepare a written brief for a new visual or a reference-guided revision. The prompt should say what to create and what visual relationship matters to the result. For a new composition, describe the subject, setting, lighting, palette and viewpoint. Explain the destination when it affects the design, such as a landscape cover with the subject placed away from a text area. A scene brief might request a glass vessel on a stone ledge, a low viewpoint, cool morning light and a restrained background. Specific visual instructions give you concrete details to compare with the completed image. For a revision, supply the relevant image through input\_references and identify the desired change. The documented reference representation accepts an HTTP(S) image URL or a base64 data URL. Explain which source details should carry into the revision, such as the subject’s shape, the framing or the overall colour treatment, and describe the element that should change. Keep the source and revision together when deciding whether the result fits the task. The dedicated model profile lists text-and-image input, image output and no native streaming. Use the complete image response as the result. Keep every image in the completed data array. For b64\_json output, decode the image bytes; for a returned image URL, retrieve the actual image file. Use the returned media\_type when available, and preserve the accompanying response and usage information. Keep the selected configuration with the visual brief. After completion, inspect the subject details, composition, reference relationship and any lettering against the brief. Keep the chosen output, source references and prompt so a later revision starts from a known image and an explicit change. **Ailoot Ultra · Images** `POST /v1/images/generations` `meta/muse-image` [`meta/muse-image`](https://ailoot.ai/models/en/#m=meta%2Fmuse-image&route=Ultra&caller=meta%2Fmuse-image&fmt=images) Meta /`meta/muse-image` ### Overview Muse Image creates and revises images from text and visual references. Use meta/muse-image with the Images method to describe a new composition or guide a change with an existing image. It returns image outputs in a complete response, with no native image streaming listed for this profile. Accepted inputs Text · Images Results Images ### Available in Ailoot · inputs & methods **Ailoot Ultra · Images** `POST /v1/images/generations` Input types `text`, `image` Output types `image` Output format Image file | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits meta/muse-image | Default— | | Field`prompt` | Type`string` | RequirementRequired | Values & limits | Default— | | Field`stream` | Type`boolean` | RequirementOptional | Values & limits false | Defaultfalse | | Field`input_references` | Type`array` | RequirementOptional | Values & limits | Default— | Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`content_type` | Contractapplication/json | | Parameter`required` | Contractmodel, prompt | | Parameter`optional` | Contractstream, input\_references | | Parameter`material_types` | Contracttext, image | | Parameter`conditions` | ContractUse stream:false or omit stream. The complete buffered JSON result contains all generated images. | Lifecycle: `synchronous_result_then_owned_library` `GET /v1/media/assets` `GET /v1/media/assets/{asset_id}` ### Pricing ##### How the final charge is calculated The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity. Tariff references do not add request options. Supported parameters are listed for the selected method. Fast mode Not specified When fast mode is selected Flex mode Not specified When flex mode is selected Maximum reasoning effort Not specified When maximum reasoning effort uses the default adjustment #### Estimated rates for comparison #### Prices by configuration Match each charge to the conditions shown. Use one rate for each set of alternative configurations. | Configuration | Rate schedule | Forecast quantity | Charge | | --- | --- | --- | --- | | ConfigurationBase token rates | Rate scheduleBase rate | Forecast quantity— | Charge Input · Input tokens · Estimate for comparison only **—** / 1K tokens Output · Output tokens · Estimate for comparison only **—** / 1K tokens Input · Cache read · Estimate for comparison only **—** / 1K tokens Input · Cache write · Estimate for comparison only **—** / 1K tokens Input · Cache write, 1 hour · Estimate for comparison only **—** / 1K tokens | | ConfigurationEstimated generation cost | Rate schedule— | Forecast quantityone generation estimate | Charge Input · Estimated generation cost · Estimate for comparison only **$0.98304** estimate before generation This estimate is not an additional charge or a fixed rate for the completed generation. | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · Images curl · create once and retain the complete result ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" export AILOOT_API_KEY python3 - <<'PY_REQUEST' import json,os from pathlib import Path p=json.loads('{"model": "meta/muse-image", "prompt": "A calm studio product photograph with a plain background."}') Path("request.json").write_text(json.dumps(p,ensure_ascii=False)) PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \ -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o result.json # Submit once. Retain the complete result, original identifiers and every response header. ``` ### Receive and save results #### Ailoot Ultra · Images Download each returned image or save its Base64 contents - `GET /v1/media/assets` - `GET /v1/media/assets/{asset_id}` ##### Keep all completed results Save every completed image; retrieve each returned URL or decode its Base64 contents. Retain every returned image and field. Use owned content\_url values and actual asset\_id records; refresh the same asset when a link expires. ##### If the original response needs checking Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation. ### Aliases #### Model aliases **Ailoot Ultra** [`meta/muse-image`](https://ailoot.ai/models/en/#m=meta%2Fmuse-image&route=Ultra&caller=meta%2Fmuse-image&fmt=images) #### Method path aliases Use the method paths shown above. #### Related caller IDs [`meta/muse-image`](https://ailoot.ai/models/en/#m=meta%2Fmuse-image&route=Ultra&caller=meta%2Fmuse-image&fmt=images) FAQ · Meta: Muse Image What inputs and results are available? `POST /v1/images/generations` · `meta/muse-image`: `text`, `image` → `image` Which fields does the request use? `POST /v1/images/generations` · `meta/muse-image`: `model`, `prompt`, `stream`, `input_references` Connect Ailoot to Claude Code, OpenCode, Hermes or your own app. ## The company and its project portfolio The company and its project portfolio: millions of customers; monthly sales in the billions. ## Buy tokens at a discount. Subscription discounts for regular use. 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