Social Media Pack
Re-render a hero image into Instagram, TikTok, YouTube-shorts and Twitter/X aspect ratios.
Inputs
| Name |
Type |
Required |
Default |
Description |
source_image |
image_url |
yes |
— |
URL of the hero image (or asset_id from this session). |
caption_idea |
text |
no |
— |
Optional caption / overlay direction (kept short). |
formats |
list |
no |
1:1, 9:16, 4:5, 16:9 |
Aspect ratios to produce. |
Steps
Use the plan to fan out one node per format.
- For each requested aspect ratio in
{{formats}}:
- Call
muapi image edit (model=nano-banana-2-edit) with the source image.
- Prompt: "Reframe the composition to {{aspect_ratio}} for social media.
Keep the subject centred and uncropped. Match the original lighting
and palette. {{caption_idea_hint}}".
- Where
{{caption_idea_hint}} = "Leave headroom at the top for a
caption: ''." (only if caption_idea is non-empty).
- All formats run in parallel (no inter-node dependencies).
- Return one asset id per format, labelled with the platform it suits:
- 1:1 → Instagram feed
- 9:16 → TikTok / IG Reels / YT Shorts
- 4:5 → Instagram portrait
- 16:9 → Twitter / X / YouTube
- 21:9 → cinematic banner
Notes
- Don't generate fresh images — only reframe / re-edit the source.
- If the source already matches a format, skip that node and surface the
original asset id for it.
Trigger Keywords
social pack, resize for social, cross-post, multi-platform
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-social-pack
description: Re-render a hero image into aspect ratios for Instagram, TikTok, YouTube Shorts, and Twitter/X.
---
# Social Media Pack
**Re-render a hero image into Instagram, TikTok, YouTube-shorts and Twitter/X aspect ratios.**
## Inputs
| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| `source_image` | image_url | yes | — | URL of the hero image (or asset_id from this session). |
| `caption_idea` | text | no | — | Optional caption / overlay direction (kept short). |
| `formats` | list | no | 1:1, 9:16, 4:5, 16:9 | Aspect ratios to produce. |
## Steps
Use the plan to fan out one node per format.
1. For each requested aspect ratio in `{{formats}}`:
- Call `muapi image edit` (model=nano-banana-2-edit) with the source image.
- Prompt: "Reframe the composition to {{aspect_ratio}} for social media.
Keep the subject centred and uncropped. Match the original lighting
and palette. {{caption_idea_hint}}".
- Where `{{caption_idea_hint}}` = "Leave headroom at the top for a
caption: '<caption_idea>'." (only if caption_idea is non-empty).
2. All formats run in parallel (no inter-node dependencies).
3. Return one asset id per format, labelled with the platform it suits:
- 1:1 → Instagram feed
- 9:16 → TikTok / IG Reels / YT Shorts
- 4:5 → Instagram portrait
- 16:9 → Twitter / X / YouTube
- 21:9 → cinematic banner
## Notes
- Don't generate fresh images — only reframe / re-edit the source.
- If the source already matches a format, skip that node and surface the
original asset id for it.
## Trigger Keywords
`social pack`, `resize for social`, `cross-post`, `multi-platform`
---
## 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.
