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Get Started Free →Quickly generate a single polished logo for any brand — fast, focused, single output with clean vector aesthetic and accurate brand name text.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-21 | ✗→✓ | ▲ Improved | 27% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -69% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -41% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -24% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -80% | 0% |
Quickly generate a single polished logo for any brand — fast, focused, single output with clean vector aesthetic and accurate brand name text.
| Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | brand_name | text | yes | — | The brand or company name to put in the logo. | | style | text | no | modern wordmark with icon, minimal | Logo style (e.g. "monogram initials", "icon + text horizontal", "bold sans-serif wordmark", "badge/emblem", "abstract mark"). | | industry | text | no | technology | Industry context to guide the icon metaphor (e.g. "food & beverage", "health & wellness", "finance", "creative agency"). | | colors | text | no | brand blue and white | Color scheme (e.g. "black and gold", "forest green and cream", "electric purple gradient"). | | background | text | no | white | Background color for logo — "white", "black", or "transparent". |
Submit the plan with ONE step:
muapi image generate (model=ideogram-v3-t2i):Professional logo for "{{brand_name}}" — {{style}}, {{industry}} brand. Color scheme: {{colors}}. {{background}} background. Clean, scalable, vector-quality logo design. Legible brand name text, balanced proportions. Modern 2025 logo design, no drop shadows, no gradients unless requested, isolated on {{background}} background.{{style}} mentions "horizontal" or "wide" layout: aspect ratio 2:1After generation:
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muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.{{input_name}} placeholders with the user's actual inputs before issuing each call.Other measured skills in the registry, with their headline benchmark lift.