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- OpenClaw
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- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Content Creation
Eachlabs Video Generation
Generate new videos from text prompts, images, or reference inputs using EachLabs AI models. Supports text-to-video, image-to-video, transitions, motion control, talking head, and avatar generation. Use when the user wants to create new video content. For editing existing videos, see eachlabs-video-edit.
skill openclawclawhub Free
Generate new videos from text prompts, images, or reference inputs using EachLabs AI models. Supports text-to-video, image-to-video, transitions, motion control, talking head, and avatar generation. Use when the user wants to create new video content. For editing existing videos, see eachlabs-video-edit.
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- Tencent SkillHub
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- SKILL.md, references/MODELS.md
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- Tencent SkillHub
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- Indexed source record
- Version
- 0.1.0
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- eftalyurtseven
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Documentation
EachLabs Video Generation
Generate new videos from text prompts, images, or reference inputs using 165+ AI models via the EachLabs Predictions API. For editing existing videos (upscaling, lip sync, extension, subtitles), see the eachlabs-video-edit skill.
Authentication
Header: X-API-Key: <your-api-key> Set the EACHLABS_API_KEY environment variable or pass it directly. Get your key at eachlabs.ai.
1. Create a Prediction
curl -X POST https://api.eachlabs.ai/v1/prediction \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "model": "pixverse-v5-6-text-to-video", "version": "0.0.1", "input": { "prompt": "A golden retriever running through a meadow at sunset, cinematic slow motion", "resolution": "720p", "duration": "5", "aspect_ratio": "16:9" } }'
2. Poll for Result
curl https://api.eachlabs.ai/v1/prediction/{prediction_id} \ -H "X-API-Key: $EACHLABS_API_KEY" Poll until status is "success" or "failed". The output video URL is in the response.
Text-to-Video
ModelSlugBest ForPixverse v5.6pixverse-v5-6-text-to-videoGeneral purpose, audio generationXAI Grok Imaginexai-grok-imagine-text-to-videoFast creativeKandinsky 5 Prokandinsky5-pro-text-to-videoArtistic, high qualitySeedance v1.5 Proseedance-v1-5-pro-text-to-videoCinematic qualityWan v2.6wan-v2-6-text-to-videoLong/narrative contentKling v2.6 Prokling-v2-6-pro-text-to-videoMotion controlPika v2.2pika-v2-2-text-to-videoStylized, effectsMinimax Hailuo V2.3 Prominimax-hailuo-v2-3-pro-text-to-videoHigh fidelitySora 2 Prosora-2-text-to-video-proPremium qualityVeo 3veo-3Google's best qualityVeo 3.1veo3-1-text-to-videoLatest Google modelLTX v2 Fastltx-v-2-text-to-video-fastFastest generationMoonvalley Mareymoonvalley-marey-text-to-videoCinematic styleOviovi-text-to-videoGeneral purpose
Image-to-Video
ModelSlugBest ForPixverse v5.6pixverse-v5-6-image-to-videoGeneral purposeXAI Grok Imaginexai-grok-imagine-image-to-videoCreative editsWan v2.6 Flashwan-v2-6-image-to-video-flashFastestWan v2.6wan-v2-6-image-to-videoHigh qualitySeedance v1.5 Proseedance-v1-5-pro-image-to-videoCinematicKandinsky 5 Prokandinsky5-pro-image-to-videoArtisticKling v2.6 Pro I2Vkling-v2-6-pro-image-to-videoBest Kling qualityKling O1kling-o1-image-to-videoLatest Kling modelPika v2.2 I2Vpika-v2-2-image-to-videoEffects, PikaScenesMinimax Hailuo V2.3 Prominimax-hailuo-v2-3-pro-image-to-videoHigh fidelitySora 2 I2Vsora-2-image-to-videoPremium qualityVeo 3.1 I2Vveo3-1-image-to-videoGoogle's latestRunway Gen4 Turbogen4-turboFast, film qualityVeed Fabric 1.0veed-fabric-1-0Social media
Transitions & Effects
ModelSlugBest ForPixverse v5.6 Transitionpixverse-v5-6-transitionSmooth transitionsPika v2.2 PikaScenespika-v2-2-pikascenesScene effectsPixverse v4.5 Effectpixverse-v4-5-effectVideo effectsVeo 3.1 First Last Frameveo3-1-first-last-frame-to-videoInterpolation
Motion Control & Animation
ModelSlugBest ForKling v2.6 Pro Motionkling-v2-6-pro-motion-controlPro motion controlKling v2.6 Standard Motionkling-v2-6-standard-motion-controlStandard motionMotion Fastmotion-fastFast motion transferMotion Video 14Bmotion-video-14bHigh quality motionWan v2.6 R2Vwan-v2-6-reference-to-videoReference-basedKling O1 Reference I2Vkling-o1-reference-image-to-videoReference-based
Talking Head & Lip Sync
ModelSlugBest ForBytedance Omnihuman v1.5bytedance-omnihuman-v1-5Full body animationCreatify Auroracreatify-auroraAudio-driven avatarInfinitalk I2Vinfinitalk-image-to-videoImage talking headInfinitalk V2Vinfinitalk-video-to-videoVideo talking headSync Lipsync v2 Prosync-lipsync-v2-proLip syncKling Avatar v2 Prokling-avatar-v2-proPro avatarKling Avatar v2 Standardkling-avatar-v2-standardStandard avatarEchomimic V3echomimic-v3Face animationStable Avatarstable-avatarStable talking head
Prediction Flow
Check model GET https://api.eachlabs.ai/v1/model?slug=<slug> โ validates the model exists and returns the request_schema with exact input parameters. Always do this before creating a prediction to ensure correct inputs. POST https://api.eachlabs.ai/v1/prediction with model slug, version "0.0.1", and input parameters matching the schema Poll GET https://api.eachlabs.ai/v1/prediction/{id} until status is "success" or "failed" Extract the output video URL from the response
Image-to-Video with Wan v2.6 Flash
curl -X POST https://api.eachlabs.ai/v1/prediction \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "model": "wan-v2-6-image-to-video-flash", "version": "0.0.1", "input": { "image_url": "https://example.com/photo.jpg", "prompt": "The person turns to face the camera and smiles", "duration": "5", "resolution": "1080p" } }'
Video Transition with Pixverse
curl -X POST https://api.eachlabs.ai/v1/prediction \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "model": "pixverse-v5-6-transition", "version": "0.0.1", "input": { "prompt": "Smooth morphing transition between the two images", "first_image_url": "https://example.com/start.jpg", "end_image_url": "https://example.com/end.jpg", "duration": "5", "resolution": "720p" } }'
Motion Control with Kling v2.6
curl -X POST https://api.eachlabs.ai/v1/prediction \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "model": "kling-v2-6-pro-motion-control", "version": "0.0.1", "input": { "image_url": "https://example.com/character.jpg", "video_url": "https://example.com/dance-reference.mp4", "character_orientation": "video" } }'
Talking Head with Omnihuman
curl -X POST https://api.eachlabs.ai/v1/prediction \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "model": "bytedance-omnihuman-v1-5", "version": "0.0.1", "input": { "image_url": "https://example.com/portrait.jpg", "audio_url": "https://example.com/speech.mp3", "resolution": "1080p" } }'
Prompt Tips
Be specific about motion: "camera slowly pans left" rather than "nice camera movement" Include style keywords: "cinematic", "anime", "3D animation", "cyberpunk" Describe timing: "slow motion", "time-lapse", "fast-paced" For image-to-video, describe what should change from the static image Use negative prompts to avoid unwanted elements (where supported)
Parameter Reference
See references/MODELS.md for complete parameter details for each model.
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/MODELS.md