Talking Baby Video
Create a viral-style video of a talking baby with custom costumes and scripts.
Inputs
| 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. |
Steps
Phase A — Baby Character Generation
Submit the plan with ONE step to create the baby character:
- Baby Image Generation —
muapi image generate (model=nano-banana or wan2.5-text-to-image):
- Prompt:
{{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.
- Aspect ratio: 9:16 or 1:1
Present the baby image to the user for approval.
Phase B — Talking Animation
Once the image is approved, submit the plan to animate the baby talking:
- Talking Animation —
muapi video from-image (model=grok-imagine-image-to-video):
- Reference Image: The baby image from Phase A.
- Prompt:
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.
- Aspect ratio: 9:16 or 1:1
After generation, present the final talking baby video.
Trigger Keywords
talking baby, viral baby video, baby pilot, baby doctor, funny baby animation
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via
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>.
- Substitute
{{input_name}} placeholders with the user's actual inputs before issuing each call.
---
name: muapi-talking-baby-video
description: Generate a viral-style talking baby video with custom costumes and dialogue using AI image and video generation.
---
# Talking Baby Video
**Create a viral-style video of a talking baby with custom costumes and scripts.**
## Inputs
| 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. |
## Steps
### Phase A — Baby Character Generation
Submit the plan with ONE step to create the baby character:
1. **Baby Image Generation** — `muapi image generate` (model=`nano-banana` or `wan2.5-text-to-image`):
- Prompt: `{{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.`
- Aspect ratio: 9:16 or 1:1
Present the baby image to the user for approval.
### Phase B — Talking Animation
Once the image is approved, submit the plan to animate the baby talking:
1. **Talking Animation** — `muapi video from-image` (model=`grok-imagine-image-to-video`):
- Reference Image: The baby image from Phase A.
- Prompt: `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.`
- Aspect ratio: 9:16 or 1:1
After generation, present the final talking baby video.
## Trigger Keywords
`talking baby`, `viral baby video`, `baby pilot`, `baby doctor`, `funny baby animation`
---
## Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call `muapi` CLI commands. Use `muapi auth configure` first if `MUAPI_API_KEY` is unset.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via `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>`.
- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.
