AI video generation is becoming one of the most practical capabilities for product teams, content teams, and developers building creative applications. But in real projects, the challenge is often not just “can a model generate video?” It is whether the model can be called reliably through a clean API, whether authentication is simple, whether tasks can be tracked, and whether billing and error handling are predictable.Ace Data Cloud provides a unified API platform for accessing popular AI services through standard developer workflows. The HappyHorse Videos API is a good example: it lets developers build text-to-video, image-to-video, reference-image-to-video, and video editing features through one endpoint.Useful links:Ace Data Cloud Console: https://platform.acedata.cloud/consoleApplications and API Tokens: https://platform.acedata.cloud/console/applicationsHappyHorse Videos API documentation: https://platform.acedata.cloud/documents/happyhorse-videosHappyHorse Tasks API documentation: https://platform.acedata.cloud/documents/happyhorse-tasksWhy This API Is UsefulThe HappyHorse Videos API uses a unified/happyhorse/videosendpoint. Instead of integrating several separate APIs for different generation modes, you select the operation with theactionparameter.Supported actions include:generate: text-to-video generation.image_to_video: first-frame image-to-video generation.reference_to_video: video generation guided by one or more reference images.video_edit: editing an existing video with a natural-language instruction and optional reference images.This design is especially convenient for teams that want to add AI video capabilities to a product quickly without maintaining multiple vendor-specific integration flows.Getting Started with Ace Data CloudTo use the API, first create or open an application in the Ace Data Cloud Console:https://platform.acedata.cloud/console/applicationsAfter logging in, you can obtain an API Token and use it as the bearer token in your requests.One important platform advantage is that one API Token can call services across the platform. You do not need to apply for a separate credential for every individual AI service. New users can also start with a trial quota, and when the quota is insufficient, the general balance can be recharged in the console:https://platform.acedata.cloud/console/coinBasic Text-to-Video ExampleFor text-to-video generation, provide a prompt and choose parameters such as resolution, aspect ratio, and duration.{ action: generate, model: happyhorse-1.1-t2v, prompt: A cinematic white horse lifts its head, the mane moves gently in the sunrise wind, slow camera push in, warm film lighting, resolution: 720P, ratio: 16:9, duration: 5 }The corresponding cURL request is straightforward:curl -X POST https://api.acedata.cloud/happyhorse/videos \ -H authorization: Bearer ${bearer_token} \ -H accept: application/json \ -H content-type: application/json \ -d { action: generate, model: happyhorse-1.1-t2v, prompt: A cinematic white horse lifts its head, the mane moves gently in the sunrise wind, slow camera push in, warm film lighting, resolution: 720P, ratio: 16:9, duration: 5 }And here is the same request in Python:import requests url https://api.acedata.cloud/happyhorse/videos headers { accept: application/json, authorization: Bearer {token}, content-type: application/json, } payload { action: generate, model: happyhorse-1.1-t2v, prompt: A cinematic white horse lifts its head, the mane moves gently in the sunrise wind, slow camera push in, warm film lighting, resolution: 720P, ratio: 16:9, duration: 5, } response requests.post(url, jsonpayload, headersheaders) print(response.text)Image-to-Video and Reference-to-VideoFor first-frame image-to-video, passimage_url. The uploaded or hosted image becomes the first frame, and the output aspect ratio will try to follow that image.{ action: image_to_video, model: happyhorse-1.1-i2v, image_url: https://cdn.acedata.cloud/b1c82e4937.png, prompt: A cinematic white horse lifts its head, the mane moves gently in the sunrise wind, slow camera push in, warm film lighting, resolution: 1080P, duration: 5 }For reference-image-to-video, pass one to nine reference images throughimage_urls. In the prompt, you can refer to the images ascharacter1,character2, and so on.{ action: reference_to_video, model: happyhorse-1.1-r2v, prompt: character1 walks forward through a sunrise meadow with the warm leather and gold trim style from character2, image_urls: [ https://cdn.acedata.cloud/b1c82e4937.png, https://cdn.acedata.cloud/eb75d88a3f.png ], resolution: 720P, ratio: 16:9, duration: 5 }Video Editing with Natural LanguageThevideo_editaction is useful when you already have a video and want to modify it. You provide the originalvideo_url, describe the edit inprompt, and optionally add reference images.{ action: video_edit, model: happyhorse-1.0-video-edit, prompt: Apply the warm leather and gold trim style from the reference image while preserving the original camera motion, video_url: https://platform2.cdn.acedata.cloud/happyhorse/27837f92-d1c1-4db4-ad9a-4e6e81d9f6c1.mp4, image_urls: [ https://cdn.acedata.cloud/eb75d88a3f.png ], resolution: 720P, audio_setting: auto }This makes the API suitable not only for generating short clips from scratch, but also for workflows such as style transfer, outfit changes, scene adjustments, and content iteration.Async Tasks and CallbacksVideo generation takes time, so production systems usually should not keep a long HTTP connection open. HappyHorse supports asynchronous callbacks throughcallback_url:{ action: generate, prompt: A horse running through a snowy forest, duration: 5, callback_url: https://your-domain.com/callback/happyhorse }The API can immediately return atask_id. Once the task finishes, Ace Data Cloud posts the final result to your callback address.If you prefer polling, you can passasync: trueand then query the task through the HappyHorse Tasks API:https://platform.acedata.cloud/documents/happyhorse-tasksBilling and Reliability NotesHappyHorse billing is based on video duration and resolution:720P: as low as about $0.105 per second.1080P: as low as about $0.18 per second.video_edit: billed based on the total duration of the input and output videos.Failed tasks are not charged and do not count against the free quota.For engineering teams, the API also returns useful operational fields such astask_id,trace_id, result state, output URL, duration, and resolution. This makes it easier to build observability, retries, and customer support flows around generated media.Common error categories include:400: invalid parameters, such as missing prompt or unsupported duration.401: authentication failure.403: insufficient balance or content review rejection.429: upstream rate limiting.500: internal server error or upstream generation failure.Why Build on Ace Data CloudAce Data Cloud is not just a wrapper around one model. It gives developers a practical way to access multiple AI capabilities through a single platform experience:Unified API authentication through one application token.Centralized console for applications, credentials, usage, and balance.Standard REST-style integration with familiar JSON request and response structures.Documentation for each service and endpoint.Free trial quota and pay-as-you-go balance management.Task IDs and trace IDs for debugging and production monitoring.For teams building AI video features, marketing tools, creative automation, or internal content pipelines, this reduces integration overhead and makes it easier to move from prototype to production.Start from the console here:https://platform.acedata.cloud/consoleRead the full HappyHorse Videos API documentation here:https://platform.acedata.cloud/documents/happyhorse-videos