storytelling

Original：🇺🇸 English
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Build multi-shot narrative image, video, and audio workflows with genmedia. Use this for storyboards, shot lists, multi-prompt video, first-frame to last-frame pipelines, social stories, brand films, and sequence continuity.

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Sourcefal-ai-community/skills
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npx skill4agent add fal-ai-community/skills storytelling

Tags

Translated version includes tags in frontmatter
genmedia-workflowsmulti-shot-narrationai-media-generationvideo-productionmodel-routing

SKILL.md Content

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Storytelling with genmedia

Use this skill when the user wants a sequence, not a single asset. Load references as needed:
  • references/shot-planning.md
  • references/workflows.md
  • references/examples.md
Load 
model-routing
alongside this skill for default endpoint choices.
The goal is to produce clear story beats and executable genmedia runs. Avoid generic inspiration copy, fake dialogue, and em dashes.

Inputs to collect

Ask only when missing information affects execution.
  • Format: ad, short film, music video, documentary, tutorial, social story.
  • Duration and aspect ratio.
  • Number of shots or allowed range.
  • Main subject, character, product, or location.
  • Continuity anchors: character, product, wardrobe, environment, color.
  • Source media: first frame, reference image, product shot, audio track.
  • Audio needs: narration, music, sound design, transcript, no audio.
  • Preferred model or model family, if the user wants to decide quality, cost, speed, audio, or multi-shot tradeoffs.

Genmedia workflow

  1. Start from routed endpoint IDs.
    bash
    genmedia models --endpoint_id bytedance/seedance-2.0/text-to-video --json
genmedia models --endpoint_id bytedance/seedance-2.0/image-to-video --json
genmedia models --endpoint_id bytedance/seedance-2.0/reference-to-video --json
genmedia models --endpoint_id fal-ai/kling-video/v3/pro/text-to-video --json
genmedia models --endpoint_id alibaba/happy-horse/text-to-video --json
genmedia models --endpoint_id veed/fabric-1.0 --json
    Use text search only as fallback discovery for an unsupported sequence control:
    bash
    genmedia models "first frame last frame video generation" --json
genmedia docs "multi shot video generation" --json
  2. Inspect schema before planning exact payloads.
    bash
    genmedia schema <endpoint_id> --json
genmedia pricing <endpoint_id> --json
  3. Upload references.
    bash
    genmedia upload ./first-frame.png --json
genmedia upload ./character.png --json
genmedia upload ./product.png --json
genmedia upload ./voiceover.wav --json
  4. Choose the sequence route.
    • Highest quality video: start with Seedance 2.0 endpoints from 
      model-routing
      .
    • Native multi-prompt: use if schema has shot arrays, prompt lists, or timeline fields.
    • First/last frame: use for controlled transitions between key frames.
    • Image-to-video per shot: use for maximum continuity from approved stills.
    • Manual per-shot generation: use when the model only supports one prompt.
    • Audio-first: generate or upload audio, then plan visual shot lengths.
    • Lip-sync or talking avatar: use Fabric 1.0 or Creatify Aurora from 
      model-routing
      .
  5. Run long jobs async and download every result with a unique template.
    bash
    genmedia run <endpoint_id> \
  --prompt "<shot or sequence prompt>" \
  --async \
  --json

genmedia status <endpoint_id> <request_id> \
  --download "./outputs/story/{request_id}_{index}.{ext}" \
  --json
  6. Return a shot table with endpoint, request id, prompt summary, local path, and any continuity issues. Genmedia downloads clips; it does not replace a timeline editor unless the chosen model returns a complete stitched video.

Shot planning

Plan every sequence as beats first:
  1. Hook: immediate visual reason to keep watching.
  2. Setup: who, what, where, and why it matters.
  3. Development: movement, discovery, proof, or escalation.
  4. Turn: reveal, transformation, result, or emotional change.
  5. Close: final image, product memory, CTA-safe frame, or unresolved mood.
For each shot, write:
  • Shot number and duration.
  • Story purpose.
  • Visual prompt.
  • Continuity anchor.
  • Input reference, if any.
  • Genmedia endpoint.
  • Expected output path.

Prompt build order

Use this structure for each shot:
text
SHOT [number], [duration]:
[story purpose]. [subject and action]. [location and time]. [camera framing].
[camera movement]. [lighting and color]. [continuity anchor]. [transition or
relationship to previous shot].
Keep one shot to one clear action unless the selected model supports multi-shot or timeline prompting.

Model routing

  • Highest quality video: 
    bytedance/seedance-2.0/text-to-video
    , 
    bytedance/seedance-2.0/image-to-video
    , or 
    bytedance/seedance-2.0/reference-to-video
    .
  • Fast or lower-cost video: 
    xai/grok-imagine-video/text-to-video
    or 
    xai/grok-imagine-video/image-to-video
    .
  • Multi-shot sequence: Seedance 2.0 first, then 
    fal-ai/kling-video/v3/pro/text-to-video
    , then 
    fal-ai/kling-video/v3/pro/image-to-video
    , then 
    alibaba/happy-horse/text-to-video
    or 
    alibaba/happy-horse/image-to-video
    .
  • Text-heavy keyframes, boards, UI frames, posters, or infographics: 
    openai/gpt-image-2
    at 
    quality=high
    .
  • Talking avatar, native audio, or lip-sync: 
    veed/fabric-1.0
    , 
    veed/fabric-1.0/text
    , or 
    fal-ai/creatify/aurora
    .

Quality bar

Before returning:
  • Shot order has a clear narrative function.
  • The first shot is strong enough for the platform.
  • Continuity anchors are repeated without bloating every prompt.
  • Camera motion is varied but not random.
  • Durations add up to the requested runtime.
  • Async request IDs and downloaded files are recorded.
  • The model's actual schema, not assumptions, drove the final command.