image-to-video

tarafından halt-catch-fire

We need to translate the given text from English to Turkish, preserving the name "image-to-video" if it appears. The text is a description of a skill. The instruction says to translate only the text inside <text>, and not include the name unless it appears in the source. The name "image-to-video" does not appear in the source text; the source has "image to video" (lowercase, no hyphens) as part of triggers. But the instruction says "Name to preserve: image-to-video" - that is the name of the skill, but it's not in the source text. So we should not add it. We just translate the given text. The text: "Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image,

npx skills add https://github.com/halt-catch-fire/skills --skill image-to-video

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

Image to Video

Convert still images to animated videos via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Generate a still image
belt app run falai/flux-dev-lora --input '{
  "prompt": "serene mountain lake at sunset, snow-capped peaks reflected in still water, golden hour light, landscape photography",
  "width": 1248,
  "height": 832
}'

# Animate it
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "gentle ripples on the lake surface, clouds slowly drifting, warm light shifting, birds flying in the distance",
  "image": "path/to/lake-image.png"
}'

Model Selection

ModelApp IDBest ForMotion Style
Wan 2.5 i2vfalai/wan-2-5-i2vRealistic motion, natural movementPhotorealistic, subtle
WAN-I2V (Pruna)pruna/wan-i2vEconomical, fast, 480p/720pNatural, efficient
Seedance 2.0bytedance/seedance-2-0Up to 1080p, sync audio, all input typesVersatile, high quality
Seedance 2.0 Fastbytedance/seedance-2-0-fastFast variant, same capabilitiesVersatile, fast
Fabric 1.0falai/fabric-1-0Cloth, fabric, liquid, flowing materialsPhysics-based flow
Grok Imagine Videoxai/grok-imagine-videoGeneral animation, text-guidedVersatile

When to Use Each

ScenarioBest ModelWhy
Landscape with water/cloudsWan 2.5 i2vBest at natural, realistic motion
Portrait with subtle expressionWan 2.5 i2vMaintains face fidelity
Product with fabric/clothFabric 1.0Specialized in material physics
Flag waving, curtain flowingFabric 1.0Cloth simulation
Illustrated/artistic imageSeedance 2.0Matches stylized content
General "bring to life"Seedance 2.0Good all-rounder, up to 1080p
Quick test/iterationSeedance 2.0 FastFaster generation

Motion Types

Camera Movement

MovementPrompt KeywordEffect
Push in / Dolly forward"slow dolly forward", "camera pushes in"Increasing intimacy/focus
Pull out / Dolly back"camera pulls back", "slow zoom out"Reveal, context
Pan left/right"camera pans slowly to the right"Scanning, following
Tilt up/down"camera tilts upward"Revealing height
Orbit"camera orbits around the subject"3D exploration
Crane up"camera rises upward"Grand reveal
Static(no camera movement prompt)Subject motion only

Subject Motion

TypePrompt Examples
Natural elements"water rippling", "clouds drifting", "leaves rustling in breeze"
Hair/clothing"hair blowing gently in wind", "dress fabric flowing"
Atmospheric"fog slowly rolling", "dust particles floating in light beams"
Character"person slowly turns to camera", "subtle breathing motion"
Mechanical"gears turning", "clock hands moving"
Liquid"coffee steam rising", "paint dripping", "water pouring"

Prompting Best Practices

The Golden Rule: Subtle > Dramatic

AI video models produce better results with gentle, subtle motion than dramatic action. Requesting too much movement causes distortion and artifacts.

❌ "person running and jumping over obstacles while the camera spins"
✅ "person slowly walking forward, gentle breeze, camera follows alongside"

❌ "explosion with debris flying everywhere"
✅ "candle flame flickering gently, warm ambient light shifting"

❌ "fast zoom into the eyes with dramatic camera shake"
✅ "slow dolly forward toward the subject, subtle focus shift"

Prompt Structure

[Camera movement] + [Subject motion] + [Atmospheric effects] + [Mood/pace]

Examples by Scenario

# Landscape animation
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "gentle camera pan right, water reflecting moving clouds, trees swaying slightly in breeze, warm golden light, peaceful and slow",
  "image": "landscape.png"
}'

# Portrait animation
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "subtle breathing motion, slight head turn, natural eye blink, hair moving gently, soft ambient lighting shifts",
  "image": "portrait.png"
}'

# Product shot animation
belt app run bytedance/seedance-2-0 --input '{
  "prompt": "slow 360 degree orbit around the product, gentle spotlight movement, subtle reflections shifting, premium product showcase, smooth motion",
  "image": "product.png",
  "generate_audio": true
}'

# Fabric/cloth animation
belt app run falai/fabric-1-0 --input '{
  "prompt": "fabric flowing and rippling in gentle wind, natural cloth physics, soft movement",
  "image": "fabric-scene.png"
}'

# Architectural visualization
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "slow dolly forward through the entrance, slight camera tilt upward, ambient light filtering through windows, dust particles in light beams",
  "image": "building-interior.png"
}'

Duration Guidelines

DurationQualityUse For
2-3 secondsHighest qualityGIFs, looping backgrounds, cinemagraphs
4-5 secondsHigh qualitySocial media posts, product reveals
6-8 secondsGood qualityShort clips, transitions
10+ secondsQuality degradesAvoid unless stitching shorter clips

Extending Duration

For longer videos, generate multiple short clips and stitch:

# Generate 3 clips from the same image with progressive motion
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "slow pan left, gentle water motion",
  "image": "scene.png"
}' --no-wait

belt app run falai/wan-2-5-i2v --input '{
  "prompt": "continuing pan, clouds shifting, light changing",
  "image": "scene.png"
}' --no-wait

# Stitch together
belt app run infsh/media-merger --input '{
  "media": ["clip1.mp4", "clip2.mp4"]
}'

The Full Workflow

Still-to-Final-Video Pipeline

# 1. Generate source image (best quality)
belt app run bytedance/seedream-4-5 --input '{
  "prompt": "cinematic landscape, misty mountains at dawn, lake in foreground, dramatic clouds, golden hour, 4K quality, professional photography",
  "size": "2K"
}'

# 2. Animate the image
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "gentle mist rolling through the valley, lake surface rippling, clouds slowly moving, birds in distance, warm light shifting",
  "image": "landscape.png"
}'

# 3. Upscale video if needed
belt app run falai/topaz-video-upscaler --input '{
  "video": "animated-landscape.mp4"
}'

# 4. Add ambient audio
belt app run infsh/hunyuanvideo-foley --input '{
  "video": "animated-landscape.mp4",
  "prompt": "gentle nature ambience, distant birds, soft wind, water lapping"
}'

# 5. Merge video with audio
belt app run infsh/video-audio-merger --input '{
  "video": "upscaled-landscape.mp4",
  "audio": "ambient-audio.mp3"
}'

Cinemagraph Effect

A cinemagraph is a still photo where only one element moves (e.g., waterfall moving in an otherwise frozen scene). To achieve this:

  1. Generate the still image with the motion element clearly defined
  2. Prompt for motion only in that specific element
  3. Keep to 2-4 seconds for seamless looping
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "only the waterfall is moving, everything else remains perfectly still, water cascading smoothly, rest of scene frozen",
  "image": "waterfall-scene.png"
}'

Common Mistakes

MistakeProblemFix
Too much motion requestedDistortion, artifacts, warpingSubtle > dramatic, always
Wrong model for content typePoor resultsUse selection guide above
Clips too long (10s+)Quality degrades significantlyKeep to 3-5 seconds, stitch if needed
No camera movement specifiedRandom/unpredictable motionAlways specify camera behavior
Conflicting motion directionsChaotic, unnaturalOne primary motion direction
Low-res source imageLow-res video outputStart with highest quality source
Complex action scenesModels can't handleKeep motion simple and natural

Related Skills

npx skills add inference-sh/skills@ai-video-generation
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@p-video
npx skills add inference-sh/skills@video-prompting-guide
npx skills add inference-sh/skills@prompt-engineering

Browse all apps: belt app list

halt-catch-fire tarafından daha fazla skill

ai-image-generation
halt-catch-fire
GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve ve inference.sh CLI üzerinden 50'den fazla model ile AI görselleri oluşturun. Modeller: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Yetenekler: metinden görsele, görselden görsele, iç boyama, LoRA, görsel düzenleme, yükseltme, metin oluşturma. Kullanım alanları: AI sanatı, ürün maketleri, konsept sanatı, sosyal medya grafikleri, pazarlama görselleri, illüstrasyonlar. Tetikleyiciler: flux, görsel oluşturma, ai görsel, metinden...
creativemediaimage
ai-video-generation
halt-catch-fire
Google Veo, Seedance 2.0, HappyHorse, Wan, Grok ve 40'tan fazla model ile inference.sh CLI üzerinden yapay zeka videoları oluşturun. Modeller: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Yetenekler: metinden videoya, görüntüden videoya, referanstan videoya, video düzenleme, dudak senkronizasyonu, avatar animasyonu, video yükseltme, foley ses. Kullanım alanları: sosyal medya videoları, pazarlama içerikleri, açıklayıcı videolar, ürün tanıtımları, yapay zeka avatarları. Tetikleyiciler: video oluşturma
creativevideomedia
twitter-automation
halt-catch-fire
Twitter/X otomasyonu: inference.sh CLI ile gönderi, etkileşim ve kullanıcı yönetimi. Uygulamalar: x/post-tweet, x/post-create (medya ile), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Yetenekler: tweet gönderme, içerik planlama, gönderi beğenme, retweet yapma, DM gönderme, kullanıcı takip etme, profil alma. Kullanım alanları: sosyal medya otomasyonu, içerik planlama, etkileşim botları, kitle büyütme, X API. Tetikleyiciler: twitter api, x api, tweet otomasyonu, twitter'a gönderi, twitter botu, sosyal medya otomasyonu, x...
marketingapicommunication
ai-avatar-video
halt-catch-fire
We need to translate the given text from English to Turkish. The target language is Türkçe. The directory item type is agent skill, and the name to preserve is "ai-avatar-video". The instruction says: "Translate only the text inside <text>. Do not include the name unless it appears in the source text." The name "ai-avatar-video" does not appear in the source text, so we should not include it. Also, do not include labels like "description", "server name", or "skill name". Just translate the content. The text: "Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI
videocreativemedia
agent-browser
halt-catch-fire
AI ajanları için inference.sh üzerinden tarayıcı otomasyonu. Web sayfalarında gezinme, @e referanslarıyla öğelerle etkileşim, ekran görüntüsü alma, video kaydetme. Yetenekler: web kazıma, form doldurma, tıklama, yazma, sürükle-bırak, dosya yükleme, JavaScript çalıştırma. Kullanım alanları: web otomasyonu, veri çıkarma, test, ajan taraması, araştırma. Tetikleyiciler: tarayıcı, web otomasyonu, kazıma, gezinme, tıklama, form doldurma, ekran görüntüsü, web'de gezinme, playwright, başsız tarayıcı, web ajanı, internette gezinme, video kaydetme
browser-automationweb-scrapingtesting
web-search
halt-catch-fire
We need to translate the given text from English to Turkish, preserving specific terms like "web-search", "Tavily", "Exa", "inference.sh CLI", "RAG", etc. The instruction says to preserve product names, protocol names, URLs, numbers, and technical terms. So "Tavily", "Exa", "inference.sh CLI", "RAG", "AI", "API" should remain as is. Also "web-search" is the name to preserve but it's not in the text? Actually the name is "web-search" but the text doesn't contain that exact string. The text has "web search" (two words). The instruction says "Do not include the name unless it appears in the source text." So we translate "web search" as "web araması" or similar? But careful: "web search" appears multiple times. We should translate it as "web araması" but keep technical terms like "Tavily Search" as is? The instruction says preserve product names. "Tavily Search
researchweb-scrapingapi
infsh-cli
halt-catch-fire
inference.sh CLI üzerinden 250'den fazla AI uygulamasını çalıştırın - görüntü oluşturma, video oluşturma, LLM'ler, arama, 3D, Twitter otomasyonu. Modeller: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter ve daha fazlası. AI uygulamalarını çalıştırırken, görüntü/video oluştururken, LLM'leri çağırırken, web araması yaparken veya Twitter'ı otomatikleştirirken kullanın. Tetikleyiciler: 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
developmentapicreative
landing-page-design
halt-catch-fire
Açılış sayfası dönüşüm optimizasyonu; düzen kuralları, kahraman bölümü tasarımı ve CTA psikolojisi ile. Ekran üstü formülü, sosyal kanıt yerleşimi, mobil tasarım ve F-deseni okumayı kapsar. Kullanım alanları: startup açılış sayfaları, ürün sayfaları, SaaS pazarlama, dönüşüm optimizasyonu. Tetikleyiciler: açılış sayfası, kahraman bölümü, ekran üstü, dönüşüm optimizasyonu, açılış sayfası tasarımı, cta butonu, kahraman görseli, açılış sayfası düzeni, saas açılış sayfası, ürün sayfası tasarımı, dönüşüm oranı