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fal-prompting

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UpdatedMay 4, 2026 at 03:51

Model-family-specific prompt craft for fal.ai endpoints. Trigger when the user mentions a specific model family by name and asks how to prompt it ("how do I prompt Kling", "GPT Image 2 prompt structure", "Happy Horse tips"), or when prompts to a routed endpoint keep coming back generic and the family's known nuances should be applied. For endpoint selection ("which model for X"), use `fal-models-catalog` instead. This skill is about how to talk to a model once it has been chosen.

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SKILL.md

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name

fal-prompting

description

fal.ai Prompting

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

Model families have meaningful prompting nuances. A prompt that works on GPT Image 2 (long, structured, exact text in quotes) will fail on Happy Horse (which wants ~20 plain-English words). This skill collects family-specific guides.

When to load which reference

Reference	Load when
kling.md	Working with Kling video models (O3, v3), multi-prompt, element controls, Standard vs Pro tier
gpt-image-2.md	Working with `openai/gpt-image-2` or `/edit`, structured prompts, EXACT TEXT, multi-image compositing
happy-horse.md	Working with `alibaba/happy-horse/text-to-video` or `image-to-video`, brevity-first, camera language

Universal principles (all families)

Visual facts beat prestige adjectives. Replace "stunning, cinematic, masterpiece" with "overcast daylight, brushed aluminum, 50mm feel."
Style tags need visual targets. "Minimalist brutalist" → "cream background, heavy black sans serif, asymmetrical type block, generous negative space."
One controlled variable per iteration. Comparison only works when one axis changes at a time.
Inspect schema before assuming a control exists. genmedia schema <endpoint_id> --json. Negative prompt, seed, multi-prompt, and reference-image fields differ across families.
Per-family rules override universal advice. Happy Horse rejects what GPT Image 2 rewards.

Catalog cross-reference

For "which model do I use" questions, see fal-models-catalog:

Text-to-image endpoint selection → fal-models-catalog/references/text-to-image.md
Text-to-video endpoint selection → fal-models-catalog/references/text-to-video.md
Image-to-video endpoint selection → fal-models-catalog/references/image-to-video.md

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name

fal-prompting

description

fal.ai Prompting

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

When to load which reference

Reference	Load when
kling.md	Working with Kling video models (O3, v3), multi-prompt, element controls, Standard vs Pro tier
gpt-image-2.md	Working with `openai/gpt-image-2` or `/edit`, structured prompts, EXACT TEXT, multi-image compositing
happy-horse.md	Working with `alibaba/happy-horse/text-to-video` or `image-to-video`, brevity-first, camera language

Universal principles (all families)

Visual facts beat prestige adjectives. Replace "stunning, cinematic, masterpiece" with "overcast daylight, brushed aluminum, 50mm feel."
Style tags need visual targets. "Minimalist brutalist" → "cream background, heavy black sans serif, asymmetrical type block, generous negative space."
One controlled variable per iteration. Comparison only works when one axis changes at a time.
Inspect schema before assuming a control exists. genmedia schema <endpoint_id> --json. Negative prompt, seed, multi-prompt, and reference-image fields differ across families.
Per-family rules override universal advice. Happy Horse rejects what GPT Image 2 rewards.

Catalog cross-reference

For "which model do I use" questions, see fal-models-catalog:

Text-to-image endpoint selection → fal-models-catalog/references/text-to-image.md
Text-to-video endpoint selection → fal-models-catalog/references/text-to-video.md
Image-to-video endpoint selection → fal-models-catalog/references/image-to-video.md