# Fal Models Catalog

> 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".

- Skill: `fal-ai-community/fal-models-catalog` (Agent Skill, multi-file: 11 files)
- Install (CLI): `npx skillmds@latest add fal-ai-community/fal-models-catalog`
- Raw SKILL.md: https://api.skillmd.com/api/skills/fal-ai-community/fal-models-catalog/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: fal-ai-community (https://skillmd.com/u/fal-ai-community)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/fal-ai-community/fal-models-catalog

---


# 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](https://github.com/fal-ai-community/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>" --json
 genmedia docs "<topic>" --json
 ```

Do not invent endpoint IDs.

## Modality references

Load the reference matching the user's task:

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

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