它支援主體修改、局部區域調整、背景替換、風格轉換、動作改變和參考影像引導，適合互動示範、直播效果及需要即時預覽的創作工具。系統以 Multimodal Large Language Model（MLLM）條件編碼器、causal video Variational Autoencoder（VAE）及 16B-parameter Multimodal Diffusion Transformer（MMDiT）組成，逐段處理新抵達的畫面。
一段提示未必只得文字，亦可以連同圖片、影片甚至音訊一齊交畀模型處理；MiniMax H3就是朝住呢種工作流而設。頁面未提供 based on、base model 或 fine-tuned from 資訊，所以無法確認它係唔係建基於其他基礎模型微調而成，但已清楚標示為 image-text-to-video，而且屬於可同時理解同生成多模態內容的 generative system。
Prompt:
4 NFE PDD on Wan2.1 14B: A joyful child,
with a big smile and arms spread wide,
swings energetically on a rusty old swing set in a sunlit backyard. The swing set, with peeling paint and creaking chains,
contrasts against the vibrant green grass and blooming flowers surrounding it.
The child's laughter echoes as they swing higher and higher,
their feet barely touching the ground at the bottom of each arc.
The scene is captured from a low angle,
emphasizing the height of the swings,
with the sun casting a warm glow over everything.
Medium shot focusing on the child and the swing set.
訓練部分用了 Mixture-of-Students 設計，並以 GAN Control Regularization 處理蒸餾時的 camera drift，目標是同時保住控制能力同長期一致性。現階段公開資訊以示範與技術報告為主，Code 同 HuggingFace 尚未釋出；不過單看定位，Wonder已經清楚指向一類更接近「可互動世界」而唔係「一次性影片生成」的世界模型方向。
