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muapi-talking-baby-video
Create a viral-style video of a talking baby with custom costumes and scripts.
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Create a viral-style video of a talking baby with custom costumes and scripts.
Baseado na classificação ocupacional SOC
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| slug | muapi-talking-baby-video |
| name | muapi-talking-baby-video |
| version | 1.0.0 |
| description | Create a viral-style video of a talking baby with custom costumes and scripts. |
| acceptLicenseTerms | true |
Create a viral-style video of a talking baby with custom costumes and scripts.
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
baby_costume | text | no | a pilot uniform | The costume the baby is wearing (e.g., doctor, chef, pilot). |
dialogue | text | no | Airbus A380 big plane! Go zoom! Have lots seats. People like fly in it. Best plane ever! | The script for the baby to say. |
baby_description | text | no | A cute 6 months old male baby | Description of the baby. |
Submit the plan with ONE step to create the baby character:
muapi image generate (model=nano-banana or wan2.5-text-to-image):
{{baby_description}} sitting and wearing {{baby_costume}}. High-quality photography, soft natural lighting, adorable expression, detailed fabric textures, shallow depth of field, Pixar-like charm but realistic.Present the baby image to the user for approval.
Once the image is approved, submit the plan to animate the baby talking:
muapi video from-image (model=grok-imagine-image-to-video):
A viral-style talking baby video. The baby is expressive, moving their mouth and head naturally while speaking the following lines: "{{dialogue}}". Subtle facial expressions like blinking and smiling. High-quality animation, smooth movements.After generation, present the final talking baby video.
talking baby, viral baby video, baby pilot, baby doctor, funny baby animation
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.