muapi-one-shot-video
Original:🇺🇸 English
Translated
Generate a single continuous cinematic shot video — no cuts, one seamless flowing scene with dramatic lighting and motion.
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Added on
NPX Install
npx skill4agent add samuraigpt/generative-media-skills muapi-one-shot-videoTags
Translated version includes tags in frontmatterSKILL.md Content
View Translation Comparison →One-Shot Video
Generate a single continuous cinematic shot video — no cuts, one seamless flowing scene with dramatic lighting and motion.
Estimated credits: ~80 per run.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
| text | yes | — | The scene to render (e.g. "a chef plating food in a moody Michelin-star kitchen"). |
| text | no | cinematic, anamorphic lens, shallow depth of field, dramatic lighting | Visual tone and style (e.g. "noir, handheld, golden hour"). |
| text | no | 10s | Target duration (e.g. "5s", "10s"). |
| text | no | 16:9 | Output aspect ratio — "16:9", "9:16", or "1:1". |
| image_url | no | — | Optional reference image for subject/scene anchoring. |
Steps
Phase A — Generate the One-Shot Video
Submit the plan with ONE step:
- One-shot video — If is provided, use
{{reference_image}}(model=muapi video generate); otherwise useveo3.1-image-to-video(model=muapi video generate).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}}
- Prompt:
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 as an alternative for better human motion.
kling-v3.0-pro-image-to-video
Trigger Keywords
one shot videosingle takecontinuous videoone takecinematic shotseamless videoNotes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call CLI commands. Use
muapifirst ifmuapi auth configureis unset.MUAPI_API_KEY - For model IDs without a CLI alias yet, fall back to the raw endpoint via and poll with
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'.muapi predict wait <request_id> - Substitute placeholders with the user's actual inputs before issuing each call.
{{input_name}}