remotion-render

Rendez des vidéos à partir de code de composants React/Remotion via inference.sh. Envoyez du code TSX, obtenez un MP4. Prend en charge toutes les API Remotion : useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Résolution, FPS, durée, codec configurables. Utilisez pour : génération vidéo programmatique, graphiques animés, motion design, vidéos pilotées par les données, animations React vers vidéo. Déclencheurs : remotion, rendre une vidéo à partir de code, tsx vers vidéo, vidéo React, vidéo programmatique, rendu remotion, code vers vidéo, animé...

npx skills add https://github.com/skills-101/superpowers --skill remotion-render

Install the belt CLI skill: npx skills add belt-sh/cli

Remotion Render

Render videos from React/Remotion component code via inference.sh CLI.

Remotion Render

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Render a simple animation
belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, AbsoluteFill } from \"remotion\"; export default function Main() { const frame = useCurrentFrame(); return <AbsoluteFill style={{backgroundColor: \"#000\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\"}}><h1 style={{color: \"white\", fontSize: 100, opacity: frame / 30}}>Hello World</h1></AbsoluteFill>; }",
  "duration_seconds": 3,
  "fps": 30,
  "width": 1920,
  "height": 1080
}'

Input Schema

ParameterTypeRequiredDescription
codestringYesReact component TSX code. Must export default a component.
composition_idstringNoComposition ID to render
propsobjectNoProps passed to the component
widthnumberNoVideo width in pixels
heightnumberNoVideo height in pixels
fpsnumberNoFrames per second
duration_secondsnumberNoVideo duration in seconds
codecstringNoOutput codec

Available Imports

Your TSX code can import from remotion and react:

// Remotion APIs
import {
  useCurrentFrame,
  useVideoConfig,
  spring,
  interpolate,
  AbsoluteFill,
  Sequence,
  Audio,
  Video,
  Img
} from "remotion";

// React
import React, { useState, useEffect } from "react";

Examples

Fade-In Text

belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, AbsoluteFill, interpolate } from \"remotion\"; export default function Main() { const frame = useCurrentFrame(); const opacity = interpolate(frame, [0, 30], [0, 1]); return <AbsoluteFill style={{backgroundColor: \"#1a1a2e\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\"}}><h1 style={{color: \"#eee\", fontSize: 80, opacity}}>Welcome</h1></AbsoluteFill>; }",
  "duration_seconds": 2,
  "fps": 30,
  "width": 1920,
  "height": 1080
}'

Animated Counter

belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, useVideoConfig, AbsoluteFill } from \"remotion\"; export default function Main() { const frame = useCurrentFrame(); const { fps, durationInFrames } = useVideoConfig(); const progress = Math.floor((frame / durationInFrames) * 100); return <AbsoluteFill style={{backgroundColor: \"#000\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\", flexDirection: \"column\"}}><h1 style={{color: \"#fff\", fontSize: 200}}>{progress}%</h1><p style={{color: \"#666\", fontSize: 30}}>Loading...</p></AbsoluteFill>; }",
  "duration_seconds": 5,
  "fps": 60,
  "width": 1080,
  "height": 1080
}'

Spring Animation

belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, useVideoConfig, spring, AbsoluteFill } from \"remotion\"; export default function Main() { const frame = useCurrentFrame(); const { fps } = useVideoConfig(); const scale = spring({ frame, fps, config: { damping: 10, stiffness: 100 } }); return <AbsoluteFill style={{backgroundColor: \"#6366f1\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\"}}><div style={{width: 200, height: 200, backgroundColor: \"white\", borderRadius: 20, transform: `scale(${scale})`}} /></AbsoluteFill>; }",
  "duration_seconds": 2,
  "fps": 60,
  "width": 1080,
  "height": 1080
}'

With Props

belt app run infsh/remotion-render --input '{
  "code": "import { AbsoluteFill } from \"remotion\"; export default function Main({ title, subtitle }) { return <AbsoluteFill style={{backgroundColor: \"#000\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\", flexDirection: \"column\"}}><h1 style={{color: \"#fff\", fontSize: 80}}>{title}</h1><p style={{color: \"#888\", fontSize: 40}}>{subtitle}</p></AbsoluteFill>; }",
  "props": {"title": "My Video", "subtitle": "Created with Remotion"},
  "duration_seconds": 3,
  "fps": 30,
  "width": 1920,
  "height": 1080
}'

Sequence Animation

belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, AbsoluteFill, Sequence, interpolate } from \"remotion\"; function FadeIn({ children }) { const frame = useCurrentFrame(); const opacity = interpolate(frame, [0, 20], [0, 1]); return <div style={{ opacity }}>{children}</div>; } export default function Main() { return <AbsoluteFill style={{backgroundColor: \"#000\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\", flexDirection: \"column\", gap: 20}}><Sequence from={0}><FadeIn><h1 style={{color: \"#fff\", fontSize: 60}}>First</h1></FadeIn></Sequence><Sequence from={30}><FadeIn><h1 style={{color: \"#fff\", fontSize: 60}}>Second</h1></FadeIn></Sequence><Sequence from={60}><FadeIn><h1 style={{color: \"#fff\", fontSize: 60}}>Third</h1></FadeIn></Sequence></AbsoluteFill>; }",
  "duration_seconds": 4,
  "fps": 30,
  "width": 1920,
  "height": 1080
}'

Python SDK

from inferencesh import inference

client = inference()

result = client.run({
    "app": "infsh/remotion-render",
    "input": {
        "code": """
import { useCurrentFrame, AbsoluteFill, interpolate } from "remotion";

export default function Main() {
  const frame = useCurrentFrame();
  const opacity = interpolate(frame, [0, 30], [0, 1]);

  return (
    <AbsoluteFill style={{
      backgroundColor: "#1a1a2e",
      display: "flex",
      justifyContent: "center",
      alignItems: "center"
    }}>
      <h1 style={{ color: "#eee", fontSize: 80, opacity }}>
        Hello from Python
      </h1>
    </AbsoluteFill>
  );
}
""",
        "duration_seconds": 3,
        "fps": 30,
        "width": 1920,
        "height": 1080
    }
})

print(result["output"]["video"])

Streaming Progress

for update in client.run({
    "app": "infsh/remotion-render",
    "input": {
        "code": "...",
        "duration_seconds": 10
    }
}, stream=True):
    if update.get("progress"):
        print(f"Rendering: {update['progress']}%")
    if update.get("output"):
        print(f"Video: {update['output']['video']}")

Related Skills

# Remotion best practices (component patterns)
npx skills add remotion-dev/skills@remotion-best-practices

# AI video generation (for AI-generated clips)
npx skills add inference-sh/skills@ai-video-generation

# Image generation (for video assets)
npx skills add inference-sh/skills@ai-image-generation

# Python SDK reference
npx skills add inference-sh/skills@python-sdk

# Full platform skill
npx skills add inference-sh/skills@infsh-cli

Documentation

Plus de skills de skills-101

ai-image-generation
skills-101
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to...
ai-avatar-video
skills-101
Créez des vidéos d'avatar IA et de tête parlante via l'interface CLI d'inference.sh. Recommandé : P-Video-Avatar (le plus rapide, le moins cher, TTS intégré). Également : OmniHuman, Fabric, PixVerse. Audio : Inworld TTS-2 (plus de 100 langues, contrôle des émotions pour les personnages), ElevenLabs, Kokoro. Capacités : avatars pilotés par l'audio, texte-vers-avatar, vidéos synchronisées labiales, génération de têtes parlantes, présentateurs virtuels, contenu UGC. Utilisation pour : présentateurs IA, vidéos explicatives, influenceurs virtuels, doublage, vidéos marketing, publicités UGC, avatars de jeux,...
agent-browser
skills-101
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
agent-tools
skills-101
Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
python-executor
skills-101
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D...
infsh-cli
skills-101
Exécutez des applications IA via l'interface CLI inference.sh - génération d'images, création de vidéos, LLM, recherche, 3D, automatisation Twitter. Modèles : FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, et bien d'autres. Utilisez lors de l'exécution d'applications IA, de la génération d'images/vidéos, de l'appel de LLM, de la recherche Web ou de l'automatisation Twitter. Déclencheurs : inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
landing-page-design
skills-101
Optimisation de la conversion de pages d'atterrissage avec règles de mise en page, conception de section hero et psychologie des CTA. Couvre la formule above-the-fold, le placement de la preuve sociale, le design mobile et la lecture en F. Utilisation pour : pages d'atterrissage de startup, pages produit, marketing SaaS, optimisation de la conversion. Déclencheurs : page d'atterrissage, section hero, above-the-fold, optimisation de la conversion, conception de page d'atterrissage, bouton CTA, image hero, mise en page de page d'atterrissage, page d'atterrissage SaaS, conception de page produit, taux de conversion, page d'atterrissage...
designmarketing
product-photography
skills-101
AI product photography with studio lighting, lifestyle shots, and packshot conventions. Covers angles, backgrounds, shadow types, hero shots, and e-commerce image requirements. Use for: product photos, e-commerce images, Amazon listings, packshots, lifestyle photography. Triggers: product photography, product photo, packshot, e-commerce photography, product shot, product image, studio photography, lifestyle product, amazon product photo, product listing image, hero shot, product mockup,...