fal-ai-community/skills

model-routing

Choose default fal.ai endpoint IDs for genmedia production skills. Use this with commercial, marketing, ugc, character-design, cinematography, storytelling, and workflow when the user has not named a specific model.

First seen May 1, 2026

Installation

$ npx skills add fal-ai-community/skills --skill model-routing

Similar popular skills

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Other skills from fal-ai-community/skills · top by installs.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 237
License MIT
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,840 B
  • docs SUMMARY.md 236 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 282 installs

SKILL.md

Genmedia model routing

Use these endpoint defaults when a domain skill needs a model. These choices come from project-specific guidance. Still run genmedia schema <endpointid> --json before execution and genmedia pricing <endpointid> --json when cost matters.

Endpoint-first rule:

  1. Pick the endpoint ID from this skill.
  2. Verify it with genmedia models --endpointid <endpointid> --json.
  3. Inspect it with genmedia schema <endpoint_id> --json.
  4. Check genmedia pricing <endpoint_id> --json when cost matters.
  5. Use text search only if the routed endpoint is missing, deprecated,

rejected, or the task needs a model role not covered here.

Do not invent endpoint IDs.

Image generation

Text-heavy image work

Use for infographics, UI mockups, posters, product labels, packaging text, readable signs, book covers, educational diagrams, and any output where text inside the image must be accurate.

  1. openai/gpt-image-2

- Use quality=high. - Prefer 2K or 4K custom image_size when the final must be detailed. - Treat as expensive. Do not use it for cheap drafts.

  1. fal-ai/nano-banana-pro

- Use as the second choice when text is important but GPT Image 2 is not available or the user accepts a lower ceiling.

Cheap and simple models are not acceptable for text-heavy production.

Premium still images

Use for commercial stills, realistic product scenes, editorial photography, cinematic keyframes, and high-quality visual concepts.

  • More realistic output: openai/gpt-image-2.
  • High-quality styled output: openai/gpt-image-2.
  • One step down: fal-ai/nano-banana-pro.
  • Strong cheaper alternative: fal-ai/nano-banana-2.

Fast draft images

Use for quick concepts, mood options, rough composition, and cheap iteration.

  • fal-ai/flux-2/klein/9b

Do not use fast draft output as final commercial delivery unless the user asks.

Image editing

Use for background replacement, relighting, cleanup, object changes, product placement, outfit changes, character edits, and multi-image composition.

  1. fal-ai/nano-banana-pro/edit
  2. openai/gpt-image-2/edit
  3. fal-ai/bytedance/seedream/v5/lite/edit

For product fidelity, also consider:

  • fal-ai/nano-banana-pro
  • fal-ai/nano-banana-2
  • fal-ai/bytedance/seedream/v5/lite/text-to-image
  • fal-ai/nano-banana-2/edit

For consistent characters, use openai/gpt-image-2 first. If editing an existing character image, inspect openai/gpt-image-2/edit.

Video generation

Highest quality video

Use Seedance 2.0 first for final, high-quality video.

  • Text to video: bytedance/seedance-2.0/text-to-video
  • Image to video: bytedance/seedance-2.0/image-to-video
  • Reference to video: bytedance/seedance-2.0/reference-to-video

Fast variants exist for lower latency:

  • bytedance/seedance-2.0/fast/text-to-video
  • bytedance/seedance-2.0/fast/image-to-video
  • bytedance/seedance-2.0/fast/reference-to-video

Fast or lower-cost video

Use Grok Imagine Video for fast, lower-cost motion previews and economical video generation.

  • Text to video: xai/grok-imagine-video/text-to-video
  • Image to video: xai/grok-imagine-video/image-to-video
  • Video edit: xai/grok-imagine-video/edit-video

Multi-shot storytelling

Use in this order:

  1. bytedance/seedance-2.0/text-to-video
  2. bytedance/seedance-2.0/image-to-video
  3. bytedance/seedance-2.0/reference-to-video
  4. fal-ai/kling-video/v3/pro/text-to-video
  5. fal-ai/kling-video/v3/pro/image-to-video
  6. alibaba/happy-horse/text-to-video
  7. alibaba/happy-horse/image-to-video

Use Kling v3 when its multi-prompt, element, or custom element controls match the requested shot plan. Use Happy Horse after Seedance and Kling unless the user specifically asks for it.

Native audio and lip-sync

Use for talking avatars, speech-driven face motion, product spokespersons, UGC-style presenters, and lip-sync from an image plus audio or text.

  1. veed/fabric-1.0

- Image plus uploaded audio.

  1. veed/fabric-1.0/text

- Image plus text speech.

  1. fal-ai/creatify/aurora

- Avatar video from image plus audio, with optional visual direction.

Campaign and UGC routing

Use these when the user asks for campaign-level marketing or creator-style social content.

Marketing campaign assets

  • Campaign key art, landing heroes, posters, text-heavy ads, app visuals, and

exact-copy layouts: openai/gpt-image-2 at quality=high.

  • Premium still variants: openai/gpt-image-2, then

fal-ai/nano-banana-pro, then fal-ai/nano-banana-2.

  • Edits from product, logo, UI, or lifestyle references:

fal-ai/nano-banana-pro/edit, then openai/gpt-image-2/edit.

  • Fast variant exploration: fal-ai/flux-2/klein/9b.
  • Product reveal or social campaign video:

bytedance/seedance-2.0/image-to-video.

  • Text-to-video campaign concept: bytedance/seedance-2.0/text-to-video.

UGC and creator ads

  • Portrait plus audio talking head: veed/fabric-1.0.
  • Portrait plus text talking head: veed/fabric-1.0/text.
  • Avatar with visual direction: fal-ai/creatify/aurora.
  • Existing footage with new speech: fal-ai/sync-lipsync/v2.
  • Product b-roll: bytedance/seedance-2.0/image-to-video.
  • Fast b-roll draft: xai/grok-imagine-video/image-to-video.

Utility endpoints

Workflow utility endpoint IDs live in the workflow skill reference: workflow/references/utility-endpoints.md.

Utility endpoints are allowed to be explicit because they are deterministic tools, not creative model choices. Always inspect schema before use.