samuraigpt/muapi-social-pack

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.