HappyHorse 1.1 - An upgraded AI video generation model launched by Alibaba.

What is HappyHorse 1.1?

HappyHorse 1.1 is Alibaba's latest upgraded AI video generation model, featuring a systematic upgrade across five dimensions compared to version 1.0: dynamic expressiveness, subject consistency, instruction compliance, visual quality, and audio capabilities. The model's technical specifications maintain a single generation duration of 3 to 15 seconds and support 720p and 1080p resolutions with flexible aspect ratios.

Main features of HappyHorse 1.1

• Wensheng VideoIt supports directly generating high-quality dynamic videos by inputting text descriptions.
• Image and videoSupports uploading static images and converting them into video clips with natural movement.
• Maintaining role consistency: Optimizes the stability of character appearance in multi-frame sequences, significantly reducing deformation and drift.
• Enhanced dynamic expressiveness: Enhance the smoothness of motion and the richness of camera language.
• Instruction compliance optimizationTo more accurately understand and execute detailed descriptions in complex text prompts.
• Text stabilityImprove the readability and glyph accuracy of text generated within videos.
• Multilingual audio-visual synchronizationSupports native and accurate alignment of audio and video in multilingual scenarios.
• Reference Guide GenerationSupports using reference images to constrain the consistency of character appearance and style.

Technical Principles of HappyHorse 1.1

• Unified Single-Stream Transformer ArchitectureContinuing the 40-layer self-attention Transformer design, text, images, video frames and audio tokens are placed in the same sequence for joint modeling. The first and last 4 layers are modality-specific projections, and the middle 32 layers share parameters, realizing cross-modal semantic sharing and native audio-visual synchronization, avoiding the temporal misalignment problem of the traditional "video first, audio later" two-stage splicing.
• DMD-2 Distillation AccelerationBy using Distribution Matching Distillation v2, the inference denoising steps are compressed to 8 steps. While maintaining 1080p output quality, the time for a single H100 card to generate a 5-second video is controlled to about 38 seconds, significantly reducing computational overhead and iteration waiting costs.
• Physics-based motion engineSpecifically, we optimized the continuity of motion by improving the temporal modeling and motion constraint mechanism, reducing object drift, weightlessness, and transition breaks, making the generated content more consistent with real physical laws and enhancing the realism of dynamic performance.
• Consistency optimization mechanismBy enhancing the temporal attention and identity preservation modules, the continuity of character appearance, lighting and shadow and scene details across multiple frames is strengthened, solving the pain points of subject deformation and style drift in long sequence generation.

How to use HappyHorse 1.1

• Enter the official website for experienceTo experience the HappyHorse model, visit the official website https://www.happyhorse.cn/, the API access address https://bailian.console.aliyun.com/, or the HeapFriend website, and click the "HappyHorse 1.1 First Launch" entry at the top of the homepage.
• Select ModelIn the video generation interface, click the model drop-down menu and select "HappyHorse 1.1 New".
• Enter your creative contentEnter a text prompt in the input box, or upload a reference image as the basis for generation.
• Setting parametersSelect the resolution, duration, and aspect ratio according to your needs.
• Generate and downloadClick the "Generate" button, wait for the model to finish processing, preview, and download the final video.

The core advantages of HappyHorse 1.1

• Five-dimensional optimizationAt the same time, upgrades were made to the dynamics of the visuals, the consistency of the characters, the adherence to instructions, the stability of the text, and the camera language.
• Consistency Improvement: To address the pain points of subject deformation and drift in AI videos.
• Limited-time offerDuring the new version launch period, a discount will be offered to reduce the cost of trying it out.
• Platform IntegrationDeeply embedded in the user's design workflow, it collaborates with tools such as music production.

Comparison of HappyHorse 1.1 with similar competing products

Application scenarios of HappyHorse 1.1

• E-commerce advertisingQuickly generate dynamic product displays and short videos highlighting key selling points, replacing traditional filming costs.
• social media: Produce brand short videos and marketing content in bulk for platforms such as Xiaohongshu and Douyin.
• Design PrototypeTransform static concept diagrams into dynamic visual previews to accelerate solution review and iteration.
• Creative EntertainmentIndividual creators produce entertaining videos, animated shorts, and visual experimental works.
• Education and TrainingThe model can generate multilingual teaching videos and reduce localization costs by using native audio-visual synchronization.