--- title: Happyhorse 1.0 T2v API | Text to Video | ModelsLab description: Create high-quality videos from text using HappyHorse Text-to-Video AI. Generate realistic, fluid, and detail-rich visuals with accurate semantic understanding. url: https://modelslab.com/models/alibaba_cloud/happyhorse-1.0-t2v.md canonical: https://modelslab.com/models/alibaba_cloud/happyhorse-1.0-t2v.md type: product component: Playground/Endpoint/Index generated_at: 2026-04-28T01:20:51.970221Z --- [![happyhorse-1.0-t2v thumbnail](https://assets.topadvisor.com/media/_solution_logo_09222023_8164684.png)](https://modelslab.com/models/alibaba_cloud)Happyhorse-1.0-T2v --- [by Alibaba](https://modelslab.com/models/alibaba_cloud)The HappyHorse Text-to-Video model features highly realistic dynamic generation capabilities. It accurately comprehends text semantics to output high-quality videos that are fluid, natural, and rich in detail. `happyhorse-1.0-t2v` Closed Source Model [LLMs.txt](https://modelslab.com/models/alibaba_cloud/happyhorse-1.0-t2v/llms.txt) [API Playground](/models/alibaba_cloud/happyhorse-1.0-t2v) [API Documentation](/models/alibaba_cloud/happyhorse-1.0-t2v/api)Vibe CodeRelated ModelsDeveloper SupportModel Specs Input --- prompt The camera captures a dramatic first-person perspective of a rider galloping at full speed through the chaos of a massive medieval battle. The horse’s head and ears are visible as it weaves between clashing soldiers, with swords swinging and shields colliding. Smoke and dust fill the air. Suddenly, another rider, KAEL, his face grim beneath his helmet, pulls his horse alongside ours. He leans in, his voice a desperate shout over the din of combat. Kael yells: "The western flank has broken! They're pouring through the breach!" Our view jerks towards the chaos Kael indicated, seeing a flood of enemy soldiers. We turn back to him, our own voice a determined roar that cuts through the noise. We shout back: "Then we seal the breach ourselves! Rally the vanguard to me!" Kael gives a sharp nod and veers away, raising his sword with a cry. The camera focuses forward again, urging the horse on with renewed, focused urgency. The charge intensifies as we head towards the new objective. Arrows fly overhead, and fire erupts in the distance. The camera sways naturally with the rider’s movement—armor clinks, banners whip in the wind, and the battlefield feels alive, cinematic, and now, purposeful. High quality, 4k, ultra detailed, raw action and intensity. duration Aspect Ratio Advanced Settings Customize your input with more control. Configure Add FundsLogin to Generate For every second of **720p** video you generated, you will be charged **$0.17**/second. For **1080p** video you will be charged **$0.35**/second. 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Model](https://modelslab.com/models/modelslab/wan2.1) About Happyhorse-1.0-T2v --- Happyhorse-1.0-T2v is a video generation AI model by Alibaba\_cloud available on ModelsLab. Access Happyhorse-1.0-T2v through our API with pay-per-use pricing and no minimum commitments. ### Technical Specifications Model IDhappyhorse-1.0-t2vProviderAlibaba\_cloudCategoryVideo ModelsTaskVideo GenerationPrice$0.175000 per multiplierAddedApril 27, 2026 ### Key Features - AI video generation from text or image input - Motion control and camera movement parameters - Adjustable frame rate and video duration - High-quality cinematic output up to 1080p - Native audio generation support ### Quick Start Integrate Happyhorse-1.0-T2v into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/video-fusion/text-to-video" headers = { "Content-Type": "application/json" } data = { "model_id": "happyhorse-1.0-t2v", "prompt": "your prompt here", "key": "YOUR_API_KEY" } try: response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX) result = response.json() print("API Response:") print(json.dumps(result, indent=2)) except requests.exceptions.HTTPError as http_err: print(f"HTTP error occurred: {http_err} - {response.text}") except Exception as err: print(f"Other error occurred: {err}") ``` View the [full API documentation](https://modelslab.com/models/alibaba_cloud/happyhorse-1.0-t2v/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Happyhorse-1.0-T2v API costs $0.175000 per multiplier. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### Use Cases - Marketing and promotional video creation - Social media short-form video content - Product demos and explainer videos - Creative storytelling and animation [Browse Video Models](https://modelslab.com/models?feature=videogen) [More from Alibaba\_cloud](https://modelslab.com/models/alibaba_cloud) [View Pricing](https://modelslab.com/pricing) Happyhorse-1.0-T2v FAQ --- ### What is Happyhorse-1.0-T2v? Happyhorse-1.0-T2v is a video generation AI model by Alibaba\_cloud available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. ### How do I use the Happyhorse-1.0-T2v API? You can integrate Happyhorse-1.0-T2v into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "happyhorse-1.0-t2v" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Happyhorse-1.0-T2v cost? Happyhorse-1.0-T2v costs $0.175000 per multiplier. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Happyhorse-1.0-T2v model ID? The model ID for Happyhorse-1.0-T2v is "happyhorse-1.0-t2v". Use this ID in your API requests to specify this model. ### Does Happyhorse-1.0-T2v have a free tier? Yes, ModelsLab offers a free tier that lets you try Happyhorse-1.0-T2v and other AI models. Sign up to get free API credits and start building immediately. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-04-28*