fal-recipes

name

fal-recipes

description

Use-case-driven multi-step pipelines on fal.ai. Trigger when the user asks for a specific kind of content production rather than a single endpoint call: "make a commercial", "ad creative", "product photography", "cinematic shot", "film look", "character design", "consistent character", "anchor system", "storyboard", "multi-shot", "narrative video", "talking head", "lip sync", "make this person talk", "virtual try-on", "garment transfer", "restore image", "deblur", "denoise", "fix face", "old photo restore", "add audio to video", "video sound effects", "product shot", "photoreal", "realistic photo", "candid photo", "editorial portrait", "documentary photo", "looks like a real photograph", "iPhone-style photo", "film photo", "archival photo". Each recipe describes inputs, the genmedia call sequence, and quality checks.

fal.ai Recipes

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

A recipe is a use-case-driven pipeline. It tells you the inputs to collect, the genmedia calls to chain, and the quality bar to verify before returning.

Recipes use genmedia for execution and fal-models-catalog for endpoint defaults. They differ from fal-workflow:

• fal-workflow = how to build a pipeline (JSON authoring or CLI orchestration patterns), generic
• fal-recipes = how to produce a specific kind of content, opinionated by use case

Available recipes

Reference	Use for
cinematography.md	Cinematic stills and video, shot language, lighting, lens, color grade
character-design.md	Original characters with consistent identity across shots
commercial.md	Product photography, ads, e-commerce batches, hero shots
storytelling.md	Multi-shot narratives, short films, ads, brand films, social stories
character-lipsync.md	Talking head / lip-sync video (TTS → animated portrait)
image-restoration.md	Smart-dispatch restoration, deblur, denoise, dehaze, fix faces, document restore
virtual-tryon.md	Apply a garment onto a person photo (with optional cleanup chain)
video-with-audio.md	Add narration / SFX / music to a silent video
product-shot.md	Hero product photography from a packshot reference
realism.md	Photoreal stills (candid, editorial, documentary, archival, food, nature, architectural) with an anti-AI-look checklist

How to choose a recipe

1. Match the user's intent to a use case in the table above.
2. If multiple recipes apply (e.g., "commercial featuring a consistent character"), load both and run the dominant one, usually the more specific one (character-design first, then commercial framing).
3. If no recipe matches but the task is multi-step, fall back to fal-workflow Mode B (CLI orchestration) and design the pipeline from scratch.
4. If the task is a single endpoint call, skip recipes, go directly to the right fal-models-catalog reference.

Universal recipe structure

Every reference follows the same skeleton so the agent knows where to look:

1. Inputs to collect: only what changes the pipeline.
2. Genmedia workflow: endpoint discovery, schema inspection, upload, run, status, download.
3. Prompt build order: domain-specific structure (e.g., SCLCAM for cinema, anchor + variable for character).
4. Patterns / examples: concrete prompt templates and finished examples.
5. Quality bar: explicit checks before returning.

Cross-references

• For endpoint defaults: fal-models-catalog
• For prompt-craft per model family: fal-prompting
• For pipeline patterns (fan-out, sequential, frame-bridging, etc.): fal-workflow Mode B
• For utility endpoints (resize, composite, audio merge, subtitle, etc.): fal-workflow/references/utility-endpoints.md

Information lives in one place. If a recipe needs an endpoint listed in the catalog, it links to the catalog instead of duplicating the list.