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fal-text-to-video

Access fal.ai's complete text-to-video generation system with support for multiple models including Kling 2.6 Pro, Sora 2, LTX-2 Pro, Runway Gen-3 Turbo, and Luma Dream Machine. Configure video duration, aspect ratio, and motion prompts to generate cinematic content with optional native audio. Use quality-focused models for final output or fast-iteration options for previews.

fal-text-to-video generates videos from text descriptions using models like Kling, Sora, LTX, and Runway with configurable quality, duration, and aspect ratios.

AI-generated summary based on this skill's SKILL.md

49 10 MITupdated by JosiahSiegel

Decision gist · record as of 2026-06-18

fal-text-to-video generates videos from text descriptions using models like Kling, Sora, LTX, and Runway with configurable quality, duration, and aspect ratios. Access fal.ai's complete text-to-video generation system with support for multiple models including Kling 2.6 Pro, Sora 2, LTX-2 Pro, Runway Gen-3 Turbo, and Luma Dream Machine. Configure video duration, aspect ratio, and motion prompts to generate cinematic content with optional native audio. Use quality-focused models for final output or fast-iteration options for previews.

manual: git clone https://github.com/JosiahSiegel/claude-plugin-marketplace → cp -r claude-plugin-marketplace/plugins/fal-ai-master/skills/fal-text-to-video ~/.claude/skills/fal-text-to-video
plugins/fal-ai-master/skills/fal-text-to-video/SKILL.md · version 93fc4652

Use it when

  • fal-text-to-video provides access to Kling 2.6 Pro, Sora 2, LTX-2 Pro with native audio support, Runway Gen-3 Turbo for fast iteration.
  • fal-text-to-video supports prompt engineering for cinematic results by incorporating camera movement keywords and motion descriptions.

Verify before relying

Read SKILL.md below before installing (2 files). Open directory: indexed for reading, not audited.

Same gist for agents: .md · .json

Install

JosiahSiegel/claude-plugin-marketplace/fal-text-to-video · repository language: Shell

Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

How to generate videos from text prompts using fal-text-to-video?

fal-text-to-video lets you generate videos from text descriptions by selecting from multiple AI models including Kling 2.6 Pro, Sora 2, LTX-2 Pro, Runway Gen-3 Turbo, and Luma Dream Machine. Provide your text prompt, configure duration and aspect ratio, and the system handles video generation. Choose quality-focused models for final production or faster options for quick previews.

What models does fal-text-to-video support for video generation?

fal-text-to-video provides access to Kling 2.6 Pro, Sora 2, LTX-2 Pro with native audio support, Runway Gen-3 Turbo for fast iteration, Luma Dream Machine, and CogVideoX for open-source options. Each model offers different tradeoffs between quality, speed, and cost, letting you select the best fit for preview versus final production workflows.

How do you write effective motion and camera prompts for video generation?

fal-text-to-video supports prompt engineering for cinematic results by incorporating camera movement keywords and motion descriptions into your text prompts. Structure prompts to specify camera angles, pan directions, zoom effects, and subject motion. The system interprets these motion cues across supported models to generate videos with dynamic camera work and fluid subject movement.

Can fal-text-to-video generate videos with integrated audio and custom aspect ratios?

fal-text-to-video supports native audio integration through LTX-2 Pro and other models, allowing you to generate videos with embedded sound. You can configure video aspect ratios and duration settings to match your output requirements, whether for social media, widescreen, or square formats, with optional audio synchronized to the generated video content.

How do you compare text-to-video models by quality, speed, and cost?

fal-text-to-video lets you evaluate models across quality, speed, and cost dimensions. Quality-focused models like Kling 2.6 Pro and Sora 2 deliver cinematic output for final production. Fast-iteration options like Runway Gen-3 Turbo prioritize speed for previews. Compare generation times, output fidelity, and pricing to select the appropriate tier for your workflow stage.

What are batch video generation workflow examples with fal-text-to-video?

fal-text-to-video enables batch workflows by processing multiple text prompts sequentially or in parallel. Typical workflows combine fast-preview models for initial concept validation, then switch to quality models for final renders. Configure consistent aspect ratios, durations, and motion prompt templates across batches to streamline production pipelines from ideation through delivery.

SKILL.md

Rendered from the published skill. Quoted content, verbatim.

Quick Reference

Model Endpoint Duration Audio Speed
Kling 2.6 Pro fal-ai/kling-video/v2.6/pro/text-to-video 5-10s Yes Slow
Sora 2 fal-ai/sora 5-20s Optional Slow
LTX-2 Pro fal-ai/ltx-2-pro 5s Yes Medium
Runway Turbo fal-ai/runway-gen3/turbo/text-to-video 5-10s No Fast
Luma fal-ai/luma-dream-machine 5s No Medium
Aspect Ratio Value Use Case
Landscape "16:9" Standard video
Portrait "9:16" Social/mobile
Square "1:1" Social posts

| Prompt Structure | Example

(truncated - see the full file via the links below)

File tree — 2 files
plugins/fal-ai-master/skills/fal-text-to-video/SKILL.md
plugins/fal-ai-master/skills/fal-text-to-video/references/workflow-examples.md

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Tags
ai-video-synthesisprompt-to-motionmodel-selection-guidecinematic-generationmulti-model-comparisonmotion-engineeringvideo-quality-tierscamera-direction-controlaudio-integrated-videopreview-to-production