Video Skills

Erstelle KI-Avatar- und Talking-Head-Videos über die inference.sh CLI. Empfohlen: P-Video-Avatar (schnellste, günstigste, integrierte TTS). Auch: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ Sprachen, Emotionssteuerung für Charaktere), ElevenLabs, Kokoro. Fähigkeiten: audiogesteuerte Avatare, Text-zu-Avatar, Lipsync-Videos, Talking-Head-Generierung, virtuelle Präsentatoren, UGC-Inhalte. Verwenden für: KI-Präsentatoren, Erklärvideos, virtuelle Influencer, Synchronisation, Marketingvideos, UGC-Anzeigen, Gaming-Avatare,...

We need to translate the given English text into German, preserving the specified name "ai-avatar-video" and other technical terms. The instruction says: "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, preserve product names, protocol names, URLs, numbers, technical terms. So "RunComfy", "runcomfy CLI", "ByteDance OmniHuman", "Wan-AI Wan 2-7", "HappyHorse 1.0", "Seedance v2 Pro" should remain as is. Also "UGC voiceover", "virtual presenter", "dubbed product demo", "lip-synced" are technical terms; translate "UGC" (user-generated content) as "UGC" or "nutzergenerierte Inhalte"? Probably keep "UGC" as it's an acronym. "voiceover" -> "Voiceover" or "Sprachaufnahme"? "virtual presenter

We need to translate the text inside <text> from English to German. The target language is Deutsch. The directory item type is agent skill, and the name to preserve is ai-avatar-video. The instruction says: "Do not include the name unless it appears in the source text." The name does not appear in the source text, so we should not add it. Also, do not add labels like "description" or "skill name". Just translate the text. The text describes creating AI avatar videos using various models via runcomfy CLI. We need to preserve product names, protocol names, URLs, numbers, and technical terms. So "RunComfy", "runcomfy CLI", "ByteDance OmniHuman", "Wan-AI Wan 2-7", "HappyHorse 1.0", "Seedance v2 Pro" should remain as is. Also "UGC voiceover", "virtual presenter", "dubbed product demo", "lip-synced" are technical terms; we should translate them appropriately but keep the meaning. Let

Erstelle KI-Avatar- und Talking-Head-Videos über die inference.sh CLI. Empfohlen: P-Video-Avatar (schnellste, günstigste, integrierte TTS). Auch: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ Sprachen, Emotionssteuerung für Charaktere), ElevenLabs, Kokoro. Fähigkeiten: audiogesteuerte Avatare, Text-zu-Avatar, Lipsync-Videos, Talking-Head-Generierung, virtuelle Präsentatoren, UGC-Inhalte. Verwenden für: KI-Präsentatoren, Erklärvideos, virtuelle Influencer, Synchronisation, Marketingvideos, UGC-Anzeigen, Gaming-Avatare,...

Erstelle KI-Avatar- und Talking-Head-Videos über die inference.sh CLI. Empfohlen: P-Video-Avatar (schnellste, günstigste, integrierte TTS). Auch: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ Sprachen, Emotionssteuerung für Charaktere), ElevenLabs, Kokoro. Fähigkeiten: audiogesteuerte Avatare, Text-zu-Avatar, Lipsync-Videos, Talking-Head-Generierung, virtuelle Präsentatoren, UGC-Inhalte. Verwenden für: KI-Präsentatoren, Erklärvideos, virtuelle Influencer, Synchronisation, Marketingvideos, UGC-Anzeigen, Gaming-Avatare,...

Create AI avatar, talking-head, and lip-sync videos on RunComfy via the `runcomfy` CLI. Routes across ByteDance OmniHuman (audio-driven full-body avatar), Wan-AI Wan 2-7 (audio-driven mouth sync via `audio_url` on a portrait), HappyHorse 1.0 (Arena #1 t2v / i2v with in-pass audio), and Seedance v2 Pro (multi-modal cinematic with reference audio + reference subject). Picks the right model for the user's actual intent — UGC voiceover, virtual presenter, dubbed product demo, lip-synced...

Erstelle KI-Videos mit Google Veo, Seedance 2.0, HappyHorse, Wan, Grok und über 40 Modellen über die inference.sh CLI. Modelle: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Fähigkeiten: Text-zu-Video, Bild-zu-Video, Referenz-zu-Video, Videobearbeitung, Lippen-Synchronisation, Avatar-Animation, Video-Hochskalierung, Foley-Sound. Verwendung für: Social-Media-Videos, Marketinginhalte, Erklärvideos, Produktdemos, KI-Avatare. Auslöser: Videoerstellung, KI-Video,...

Generate AI videos on RunComfy via the `runcomfy` CLI — a smart router across the full video-model catalog: HappyHorse 1.0 (Arena #1, native in-pass audio), Wan-AI Wan 2-7 (open weights, audio-driven lip-sync), ByteDance Seedance v2 / 1-5 / 1-0 (multi-modal cinematic), Kling 3.0 / 2-6, Google Veo 3-1, MiniMax Hailuo 2-3, ByteDance Dreamina 3-0. Covers text-to-video (t2v), image-to-video (i2v), and Veo's video-extend endpoint. The skill picks the right model for the user's intent (Arena-#1...

Generate AI videos on RunComfy via the `runcomfy` CLI — a smart router across the full video-model catalog: HappyHorse 1.0 (Arena #1, native in-pass audio), Wan-AI Wan 2-7 (open weights, audio-driven lip-sync), ByteDance Seedance v2 / 1-5 / 1-0 (multi-modal cinematic), Kling 3.0 / 2-6, Google Veo 3-1, MiniMax Hailuo 2-3, ByteDance Dreamina 3-0. Covers text-to-video (t2v), image-to-video (i2v), and Veo's video-extend endpoint. The skill picks the right model for the user's intent (Arena-#1...

Erstelle KI-Videos mit Google Veo, Seedance 2.0, HappyHorse, Wan, Grok und 40+ Modellen über die inference.sh CLI. Modelle: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Fähigkeiten: Text-zu-Video, Bild-zu-Video, Referenz-zu-Video, Videobearbeitung, Lippen-Sync, Avatar-Animation, Video-Upscaling, Foley-Sound. Verwendung für: Social-Media-Videos, Marketinginhalte, Erklärvideos, Produktdemos, KI-Avatare. Auslöser: Videoerstellung, KI-Video,...

Erstelle KI-Videos mit Google Veo, Seedance 2.0, HappyHorse, Wan, Grok und 40+ Modellen über die inference.sh CLI. Modelle: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Fähigkeiten: Text-zu-Video, Bild-zu-Video, Referenz-zu-Video, Videobearbeitung, Lippen-Sync, Avatar-Animation, Video-Upscaling, Foley-Sound. Verwendung für: Social-Media-Videos, Marketinginhalte, Erklärvideos, Produktdemos, KI-Avatare. Auslöser: Videoerstellung, KI-Video,...

Generate AI videos on RunComfy via the `runcomfy` CLI — a smart router across the full video-model catalog: HappyHorse 1.0 (Arena #1, native in-pass audio), Wan-AI Wan 2-7 (open weights, audio-driven lip-sync), ByteDance Seedance v2 / 1-5 / 1-0 (multi-modal cinematic), Kling 3.0 / 2-6, Google Veo 3-1, MiniMax Hailuo 2-3, ByteDance Dreamina 3-0. Covers text-to-video (t2v), image-to-video (i2v), and Veo's video-extend endpoint. The skill picks the right model for the user's intent (Arena-#1...

We need to translate the given English text into German. The text describes a pose-conditioned generation system on RunComfy via CLI, mentioning various routes: Kling 2-6 Motion Control Pro/Standard, community Wan 2-2 Animate, and Z-Image Turbo ControlNet LoRA. It also mentions picking the right route based on video vs still and stylized vs photoreal. The instruction says to preserve product names, protocol names, URLs, numbers, technical terms. So we keep "RunComfy", "runcomfy CLI", "Kling 2-6 Motion Control Pro / Standard", "Wan 2-2 Animate", "Z-Image Turbo ControlNet LoRA", "OpenPose / DWPose / canny / depth control image". Also "pose-conditioned" is a technical term, but we can translate it as "posengesteuert" or "pose-basiert"? The instruction says preserve technical terms, but "pose-conditioned" is a common term in AI. However, the target language is German

Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion / blocking of a reference video onto a target character), community Wan 2-2 Animate (audio-driven character animation with pose conditioning), and Z-Image Turbo ControlNet LoRA (pose-conditioned image generation from an OpenPose / DWPose / canny / depth control image). Picks the right route based on video vs still and stylized vs photoreal. Triggers on...

We need to translate the given English text into German. The text describes a pose-conditioned generation system on RunComfy via CLI. It mentions routes across Kling 2-6 Motion Control Pro/Standard, community Wan 2-2 Animate, and Z-Image Turbo ControlNet LoRA. It picks the right route based on video vs still and stylized vs photoreal. Ends with "Triggers on..." which is incomplete. We must preserve product names, protocol names, URLs, numbers, technical terms. So "RunComfy", "runcomfy CLI", "Kling 2-6 Motion Control Pro / Standard", "Wan 2-2 Animate", "Z-Image Turbo ControlNet LoRA", "OpenPose", "DWPose", "canny", "depth control image" should remain as is. Also "pose-conditioned generation" is a technical term, but we can translate "generation" to "Generierung" but keep "pose-conditioned" as "posengesteuert" or "pose-kond

dontbesilent Kurzvideo-Anfang-Optimierung. Diagnose von Anfangsproblemen + Generierung von Optimierungsvorschlägen. Auslöser: /dbs-hook, /hook, „hilf mir den Anfang zu optimieren“, „wie schreibe ich den Anfang“ Kurzvideo-Anfang-Optimierung mit Diagnose und Lösungen. Auslöser: /dbs-hook, „optimize my opening“, „how to write opening

短视频逐字稿逻辑延续检查。找出「观众会在哪一秒划走」的风险点：段落间逻辑衔接、段落内信息密度、句子口播流畅度。诊断完默认主动问是否标记式改稿。 触发方式：/dbs-script-flow、/逻辑延续、「检查逻辑延续」「看看逻辑有没有断」「帮我看看这个稿子顺不顺」「哪里会划走」

Füge einem Talking-Head-Video Untertitel hinzu. EIN Katalog (CATALOG.md) mit 32 visuellen Identitäten hinter zwei Engines: column-flow (Untertitel IN die Szene komponiert — matte occlusion + mix-blend; cream/ink/editorial/keynote/documentary/loud/neon/glitch/chrome/velocity) und thematische Verfassungen (anchor/ordnance/terminal/neonsign/stardust/stomp/scoreboard/transit/vhs/arcade/dossier/laser/thunder/hologram/biolume/aurora/spectrum/papercut/popup/chalkboard/graffiti/brush/inkwater/ransom/lastpage/nightcity...

Web-Kamera-Unterstützung.

We need to translate the given text from English to German, preserving the name 'face-swap' and other technical terms like 'runcomfy', 'Wan 2-2 Animate', 'GPT Image 2 Edit', 'Nano Banana Edit', 'Flux Kontext', 'Kling 2-6 Motion Control Pro'. Also preserve URLs, numbers, etc. The instruction says: "Do not include the name unless it appears in the source text." The name 'face-swap' appears in the source? Actually the source text starts with "Swap a face / character..." but the name to preserve is 'face-swap'. The source does not contain 'face-swap' as a word; it says "Swap a face". But the directory item type is agent skill and name is 'face-swap'. The instruction says "Translate only the text inside <text>. Do not include the name unless it appears in the source text." So we should not add 'face-swap' if it's not in the source. The source text is: "Swap a

Swap a face / character into video or images on RunComfy via the `runcomfy` CLI. Routes across community Wan 2-2 Animate (audio-driven character animation + identity swap), GPT Image 2 Edit (single-shot precise face swap on still images via reference composition), Nano Banana Edit (batch identity-preserving swap), Flux Kontext (single-ref high-fidelity local face edit), and Kling 2-6 Motion Control Pro (transfer motion from one performance onto a target character). Picks the right model for...

Swap a face / character into video or images on RunComfy via the `runcomfy` CLI. Routes across community Wan 2-2 Animate (audio-driven character animation + identity swap), GPT Image 2 Edit (single-shot precise face swap on still images via reference composition), Nano Banana Edit (batch identity-preserving swap), Flux Kontext (single-ref high-fidelity local face edit), and Kling 2-6 Motion Control Pro (transfer motion from one performance onto a target character). Picks the right model for...

faceless-explainer Video-Workflow - beliebiger Text (Artikel / Notizen / Thema / Kurzfassung) -> narrator_scripts.json + Audio (Sprache + Hintergrundmusik) + section_plan.md -> Typografie / abstrakte Grafiken / Diagramme / Datenvisualisierungs-Video. Typische Länge bis zu ca. 3 Minuten (Sweet Spot ca. 30-90 Sekunden); ein wirklich längerer Beitrag ist ein allgemeines Video, nicht dieser Workflow. Erzeugt EIGENE Sprachausgabe (TTS) – es synchronisiert sich nicht mit einer vom Benutzer bereitgestellten / vorab aufgenommenen Voiceover (das ist allgemeines Video). Kein Website-Capture, keine echten Produkt-Screenshots....

Wird als Fallback für die Erstellung benutzerdefinierter HyperFrames-HTML-Videokompositionen verwendet, wenn kein spezialisierter Workflow passt. Deckt längere oder mehrszenige Stücke, Brand-/Sizzle-Reels, Montagen, Titelcards, Motion-Poster in voller Länge, statische Loops und freie Kompositionen jeder Länge oder jedes Formats ab. Nicht für vermarktete Produkt-Promos (product-launch-video), allgemeine Website-zu-Video-Aufnahmen (website-to-video), thematische Erklärvideos (faceless-explainer), GitHub-PR-Videos (pr-to-video), Untertitelung vorhandenen Filmmaterials...

Verpacke ein bestehendes Talking-Head-/Interview-/Podcast-Video, indem du zeitlich abgestimmte, gestaltete GRAFIK-OVERLAY-Karten auf das laufende Video legst – Titel, Einblendungen, Datenaufrufe, Zitate, Seitenleisten, Bild-im-Bild – synchron zum Transkript. Das Quellvideo läuft vollständig; der Agent entwirft und schreibt jede Karte als HTML im Gespräch und rendert sie dann über Hyperframes zu MP4. Verwende dies, wenn der Benutzer nach Grafik-Overlays, Bildschirmgrafiken / Einblendungen / Datenaufrufen / kinetischen Titeln auf einem Video fragt,...

Generieren und Bearbeiten von Videos mit Alibaba HappyHorse 1.0 Modellen über die inference.sh CLI. Modelle: HappyHorse T2V, I2V, R2V, Video Edit. Fähigkeiten: Text-zu-Video, Bild-zu-Video, Referenz-zu-Video, Videobearbeitung mit natürlicher Sprache, Charaktererhaltung, 720P/1080P, bis zu 15 Sekunden. Verwendung für: physikalisch realistische Videos, Videobearbeitung, charakterkonsistente Inhalte, Produktdemos, soziale Medien. Auslöser: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba...

Generieren und Bearbeiten von Videos mit Alibaba HappyHorse 1.0 Modellen über die inference.sh CLI. Modelle: HappyHorse T2V, I2V, R2V, Video Edit. Fähigkeiten: Text-zu-Video, Bild-zu-Video, Referenz-zu-Video, Videobearbeitung mit natürlicher Sprache, Charaktererhaltung, 720P/1080P, bis zu 15 Sekunden. Verwendung für: physikalisch realistische Videos, Videobearbeitung, charakterkonsistente Inhalte, Produktdemos, soziale Medien. Auslöser: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba...

We need to translate the given English text into German, preserving the name "happyhorse-1-0" and other technical terms. The text describes a skill for generating text-to-video with HappyHorse 1.0 on RunComfy. It mentions strengths, schema, alternatives, and CLI command. We must not add any extra commentary or labels. Just translate the text inside <text> tags. Let me translate: "Generate text-to-video with HappyHorse 1.0 on RunComfy." -> "Generieren Sie Text-zu-Video mit HappyHorse 1.0 auf RunComfy." "Documents HappyHorse 1.0's strengths (#1 on Artificial Analysis Video Arena, native 1080p with in-pass synchronized audio, multi-shot character consistency, 6-language prompt support), the duration / aspect-ratio / resolution schema, and when to route to Wan 2.7 / Seedance 2 / LTX 2 instead." -> "Dokumentiert die Stärken von HappyHorse 1.0

Generate text-to-video with HappyHorse 1.0 on RunComfy. Documents HappyHorse 1.0's strengths (#1 on Artificial Analysis Video Arena, native 1080p with in-pass synchronized audio, multi-shot character consistency, 6-language prompt support), the duration / aspect-ratio / resolution schema, and when to route to Wan 2.7 / Seedance 2 / LTX 2 instead. Calls `runcomfy run happyhorse/happyhorse-1-0/text-to-video` through the local RunComfy CLI. Triggers on "happyhorse", "happy horse", "happyhorse...

Generate text-to-video with HappyHorse 1.0 on RunComfy. Documents HappyHorse 1.0's strengths (#1 on Artificial Analysis Video Arena, native 1080p with in-pass synchronized audio, multi-shot character consistency, 6-language prompt support), the duration / aspect-ratio / resolution schema, and when to route to Wan 2.7 / Seedance 2 / LTX 2 instead. Calls `runcomfy run happyhorse/happyhorse-1-0/text-to-video` through the local RunComfy CLI. Triggers on "happyhorse", "happy horse", "happyhorse...