samuraigpt/muapi-one-shot-video

One-Shot Video

Generate a single continuous cinematic shot video — no cuts, one seamless flowing scene with dramatic lighting and motion.

Inputs

| Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | scene | text | yes | — | The scene to render (e.g. "a chef plating food in a moody Michelin-star kitchen"). | | style | text | no | cinematic, anamorphic lens, shallow depth of field, dramatic lighting | Visual tone and style (e.g. "noir, handheld, golden hour"). | | duration | text | no | 10s | Target duration (e.g. "5s", "10s"). | | aspect_ratio | text | no | 16:9 | Output aspect ratio — "16:9", "9:16", or "1:1". | | reference_image | image_url | no | — | Optional reference image for subject/scene anchoring. |

Steps

Phase A — Generate the One-Shot Video

Submit the plan with ONE step:

1. One-shot video — If {{reference_image}} is provided, use muapi video generate (model=veo3.1-image-to-video); otherwise use muapi video generate (model=veo3.1-text-to-video).
   • Prompt: {{scene}}, one continuous uncut shot, no transitions, camera slowly moves through scene, {{style}}, ultra cinematic, film grain, 4K quality
   • Aspect ratio: {{aspect_ratio}}
   • Duration: {{duration}}

After generation, present the video and suggest:

• A second angle variation
• Adding ambient sound with mmaudio-v2-video-to-video

Notes

• Emphasize "no cuts, no transitions" in the prompt for true one-shot feel.
• For portrait/vertical style (9:16), add "vertical format, smartphone framing" to the prompt.
• If the scene involves a person, suggest kling-v3.0-pro-image-to-video as an alternative for better human motion.

Trigger Keywords

one shot video, single take, continuous video, one take, cinematic shot, seamless video

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.