HappyHorse-1.1-I2V

HappyHorse-1.1-I2V supports image-to-video generation, further enhancing visual quality, dynamic performance, and cross-clip consistency. The model can more accurately understand input images and continue the creative intent, bringing significant improvements in character skin texture, cross-clip ID consistency, motion fluidity, text rendering stability, and audio-visual synchronization, outputting high-quality videos that are more realistic, natural, rich in detail, and highly consistent.

HappyHorse-1.1-T2V

HappyHorse-1.1-T2V supports text-to-video generation, further enhancing text semantic understanding, camera scheduling, and dynamic generation performance. The model can more accurately restore creative intent, generating higher-quality videos that are smoother, more natural, richer in detail, and more consistent in terms of character movements, scene atmosphere, visual aesthetics, and physical motion.

HappyHorse-1.0-I2V

HappyHorse-1.0-I2V 是阿里巴巴 ATH 团队推出的 15B 参数统一多模态 Transformer 视频生成模型。支持图生视频（Image-to-Video），以图像为起点，精准保留原图内容，生成自然流畅的动态视频。具备高度还原的动态画面生成能力，能够精准理解文本语义，输出流畅自然、细节丰富的高质量视频。支持 720P/1080P 分辨率。

HappyHorse-1.0-R2V

HappyHorse-1.0-R2V 支持参考生视频，更加稳定的主体与场景参考，支持最多9张图片参考，能够精准保持创作意图，实现更强表现能力。

HappyHorse-1.0-T2V

Cinematic creative generation, ultimate dynamic details. 文生视频，精准理解语义，细节丰富画质流畅。支持1080p原生分辨率，同步音频，多镜头故事讲述，7种语言唇形同步。

HappyHorse-1.0-Video-Edit

HappyHorse-1.0 视频编辑模型，支持对已有视频进行风格变换、局部替换等二次创作。支持截取前15秒编辑，输出分辨率与输入一致，实现从1到N的创意延展。

Dreamina-Seedance-2.0-mini

Supports multimodal references, featuring video editing and extension capabilities

Seedance 2.5

字节跳动最新一代多模态视频生成模型，支持文本、图片、视频、音频等参考输入，强化角色一致性、复杂运镜、动作表现和长镜头生成，可用于高质量影视级视频创作。

Dreamina-Seedance-2.0

新一代专业级多模态视频创作模型，支持基于图像、视频和音频等多模态参考输入生成视频，同时具备视频编辑和扩展能力。

Dreamina-Seedance-2.0-fast

Seedance-2.0-fast is a new generation multimodal video creation model, inheriting the core features and advantages of Seedance-2.0 with faster speed. It supports generating videos from reference images/videos/audio, video editing, video extension, and first and last frame generation.