Fal Models Catalog

fal-ai-community/skills/skills/fal-models-catalog

by fal-ai-community9ca850412943251fc9a466c4c29fdaf7a303a3d8No licenseListed Oct 9, 2026Updated Oct 9, 2026

Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks "which model for X", "best endpoint for Y", "what should I use for Z".

Instructions onlyAI & Agents
AI-generated overview

Catalog that helps pick the right fal.ai endpoint for a media generation or editing task.

What it does
This skill is a modality-organized catalog of fal.ai production endpoints, covering text-to-image, image-to-image, text-to-video, image-to-video, video-to-video, text-to-3D, image-to-3D, text-to-audio, audio-to-text and image-to-text. It routes a task to the matching reference file, which lists curated endpoint picks grouped by use case such as premium realism, fast and cheap, 4K or specialized. It also describes a verification flow using the genmedia CLI to confirm, inspect and price an endpoint before use, and points to a separate skill for workflow utility endpoints.
When to use it
Use it when the user has not named a specific model and asks which model or endpoint fits a task, or what to use for a given media generation or editing job. It is meant for choosing among fal.ai endpoints before making calls.
Requirements
Requires the genmedia CLI for endpoint calls, including a one-time genmedia init if not installed; the skill itself ships no scripts, only reference documents. Network access to fal.ai services is implied by the endpoint calls.

fal.ai Models Catalog

Endpoint-first navigation for fal.ai production work. Each modality reference lists curated picks organized by use case (premium realism / fast & cheap / 4K / specialized). Before reaching for free-text search, consult the modality reference that matches the task.

Runtime: All endpoint calls run via the genmedia CLI. See the genmedia skill for command syntax; run genmedia init once if not yet installed.

Endpoint-first rule

  1. Pick the endpoint ID from the right modality reference.
  2. Verify it: genmedia models --endpoint_id <endpoint_id> --json.
  3. Inspect it: genmedia schema <endpoint_id> --json.
  4. Check cost when relevant: genmedia pricing <endpoint_id> --json.
  5. Use text search only if the routed endpoint is missing, deprecated, rejected, or the role is not covered here:
bash
genmedia models "<task description>" --jsongenmedia docs "<topic>" --json

Do not invent endpoint IDs.

Modality references

Load the reference matching the user's task:

  • text-to-image.md [blocked], image generation from prompt (text-heavy, premium still, fast draft)
  • image-to-image.md [blocked], image editing, inpainting, background removal, upscaling
  • text-to-video.md [blocked], video generation from prompt (highest quality, fast/economical, multi-shot storytelling)
  • image-to-video.md [blocked], video from a reference frame (including audio-driven and lip-sync variants)
  • video-to-video.md [blocked], video edit, restyle, upscale, background removal
  • text-to-3d.md [blocked], 3D model generation from text
  • image-to-3d.md [blocked], 3D model generation from reference images
  • text-to-audio.md [blocked]. TTS, music, SFX generation
  • audio-to-text.md [blocked], speech-to-text (Whisper, ElevenLabs Scribe with diarization)
  • image-to-text.md [blocked]. OCR, captioning, VQA, detection, segmentation

Utility endpoints

Workflow utility endpoint IDs (resize, composite, mask, audio merge, subtitle, etc.) live in the fal-workflow skill: fal-workflow/references/utility-endpoints.md.

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

Source and attribution

Source:fal-ai-community/skillsinskills/fal-models-catalogat commit9ca8504

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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