Prompt or first-frame workflow
Start from text alone, or upload a still image and describe how the shot should move.
Happy Horse 1.1 Text and Image to Video Generator
Generate 720p or 1080p video from a prompt or a source image with native audio, synchronized motion, and 3-15 second duration control.
Warum Creator Happy Horse 1.1 nutzen
Happy Horse 1.1 is the newer Alibaba video model path for creators who want prompt-led clips or image animation with native audio in one generation.
Use text-to-video when the scene should be invented from a written prompt. Use image-to-video when the subject, product, or character already exists in a source frame.
The practical controls are simple: choose 720p or 1080p, set a 3-15 second duration, and keep the motion direction clear.
Was unterstützt wird
Text to video
Image to video
Native audio
720p and 1080p
3-15 second duration control
Am besten für
Audio-ready clips
Lip-sync scenes
Image animation
Prompt-led social videos
Im Studio erstellen
Starte mit ausgewähltem Modell und passe Auflösung, Dauer und Prompt-Richtung im selben Workflow an.
Create with Happy Horse 1.1Leistungsstarke Funktionen
Entwickelt für schnelle filmische Produktion.
1080p with native audio
Use the 1080p tier when the clip needs cleaner detail, synchronized sound, or stronger final-publish quality.
Short tests or longer scenes
Generate quick 3-second motion checks or stretch the idea up to 15 seconds when the scene needs more time.
So funktioniert es
In drei Schritten starten.
01
Choose text or image
Write a prompt, or upload a source image when you want to preserve a clear subject or composition.
02
Pick duration and resolution
Use 720p for lighter tests and 1080p for a stronger final pass.
03
Generate and compare
Review motion, audio feel, and subject consistency, then regenerate with a tighter prompt if needed.
Use Cases
Wo Happy Horse 1.1 passt.
Audio-ready social clips
Create short clips where motion and native sound feel connected from the first draft.
Image-to-video character motion
Animate a still character or product frame while keeping the original visual identity anchored.
Prompt-based campaign ideas
Turn a scene idea into a polished test clip before committing to a bigger video workflow.
Prompt-Beispiele
Prompts, die du zuerst testen kannst.
Native audio product reveal
“A matte black perfume bottle on wet stone, slow orbit camera, soft mist, amber rim light, subtle cinematic audio, realistic reflections, premium campaign style.”
Lip-sync character test
“A stylish animated presenter in a neon studio speaks naturally to camera, expressive face, clean mouth movement, soft studio lighting, 1080p.”
Image animation direction
“Preserve the subject from the source image, add a slow push-in, drifting particles, subtle light changes, and natural synchronized ambience.”
FAQ
Fragen zu Happy Horse 1.1.
What is Happy Horse 1.1 best for?
Happy Horse 1.1 is useful for text-to-video, image-to-video, native-audio clips, lip-sync scenes, and 3-15 second social or campaign videos.
Does Happy Horse 1.1 support image-to-video?
Yes. Vevaro supports Happy Horse 1.1 for both text-to-video and image-to-video workflows.
What resolutions does Happy Horse 1.1 support?
Happy Horse 1.1 supports 720p and 1080p output.
Verwandte Modelle
Ähnliche Optionen vergleichen.
Alibaba
Happy Horse
Generate Happy Horse videos on Vevaro using Alibaba’s text-to-video and image-to-video model with 720p/1080p output, native audio, and 3-15 second duration control.
ByteDance
Seedance 2.0
Use Seedance 2.0 on Vevaro for text-to-video and image-to-video generation with start/end frame control, audio, 4-15 second duration, and 480p, 720p, or 1080p output.
Vidu
Vidu Q3
Use Vidu Q3 on Vevaro for text-to-video and image-to-video generation with native audio, optional end-frame control, 1-16 second duration, and 360p to 1080p output.
Kuaishou
Kling 3 Turbo
Generate Kling 3 Turbo videos with Standard and Pro modes, text-to-video, image-to-video, native audio, and 3-15 second duration control.
Bereit, Happy Horse 1.1 zu testen?
Öffne das Studio mit ausgewähltem Happy Horse 1.1 und starte mit bereits passend gesetzten Workflow-Einstellungen.