HiDream-O1-World - A multimodal interactive world model launched by Zhixiang Future

What is HiDream-O1-World?

HiDream-O1-World is a native, multimodal, interactive world model developed by HiDream.ai, built on a self-developed UiT architecture. It supports multimodal input including text, images, and interactive controls, and features three main functions: roaming, editing, and interaction. It can generate a complete world that is spatiotemporally consistent, physically accurate, and capable of long-term simulation with a single click. Its core breakthrough lies in the collaborative design of "3D prior injection into memory context + Test-Time Training online adaptation," effectively solving problems such as object drift, scene amnesia, and physical distortion during long-term interaction.

Main functions of HiDream-O1-World

• Multimodal input generationIt supports multiple input methods such as text description, image upload, and interactive control, and can generate a complete and textured interactive world with one click; for example, uploading an indoor photo can automatically complete the panorama and build a high-precision digital twin space.
• Immersive roamingIt offers both first-person and third-person perspectives, allowing users to freely drive their character and adjust the camera angle at will. The camera movement is stable and drift-free throughout, with lighting and details changing in sync.
• Real-time editing interactionIt can drive characters to perform actions such as grabbing, running, crouching, and jumping, or schedule environmental changes (such as triggering dynamic events such as rain or falling objects), and maintains global consistency in geometry, lighting, materials, and physical logic with each modification.
• Multi-role constructionIt supports various character types, including humans, animals, and fictional characters, and accurately adapts to their respective forms and movement patterns.
• Rich scenes and stylized creationIt can highly reproduce real scenes such as urban street scenes, natural landscapes, and indoor spaces, and can also generate diverse art styles such as fantasy worlds, anime cartoons, and 3A game rendering.
• Long-term spatiotemporal consistencyBased on the "3D prior injection memory + test-time training" mechanism, objects do not disappear, drift, or "forget" after multiple rounds of perspective switching.
• Physical consistency guaranteeThe physical responses such as collision, occlusion, gravity, and fluid are consistent with the causal logic of the real world, and the visual physics rationality is 13.6% higher than the industry average.

How to use HiDream-O1-World

• Select input method It supports three types of multimodal input: inputting a text description (such as scene setting), uploading a reference image (such as an indoor photo), or starting directly through interactive operation.
• Generate a world with one click The model automatically constructs a complete interactive world based on the input, including spatial structure, material lighting and physical rules; when uploading images, it can also automatically complete the panorama and generate a digital twin space.
• Roaming and Exploring Choose a first-person or third-person perspective to drive your character to walk freely in the world, adjust the view direction at will (push, pull, pan), and observe environmental details and changes in light and shadow.
• Real-time interactive editingThe model maintains global self-consistency in geometry and physics by driving characters to perform actions such as grabbing, running, crouching, and jumping, or by scheduling environmental events (such as rain or falling objects).
• Long-term simulation and continuous creation:Relying on the "Memory + TTT" mechanism, the model can remember the explored spatial structure and support multi-round interaction and long-term continuous inference without losing the world state.

HiDream-O1-World's core advantages

• Native full-modal UiT architectureBased on a self-developed native full-modal architecture, it achieves unified understanding and generation of text, images, and interactions, rather than simply splicing together multimodal data.
• Breakthrough in Spacetime ConsistencyIt pioneered a collaborative mechanism of "3D prior injection into memory context + Test-Time Training online maintenance", ensuring that objects do not drift, disappear, or deform during long-term interactions.
• Physical consistency breakthroughDuring the training phase, inductive bias learning is driven by physical simulation data. During the inference phase, the TTT online adaptation to the physical attributes of the scene results in visual rationality exceeding the industry average by 13.6%.
• Top-notch evaluation resultsIt topped the Navi score chart in its first WBench evaluation, with an overall score of 80.9, ranking first in both the physics dimension (73.3) and the consistency dimension (88.0).
• Flexible multimodal inputIt supports various input methods such as text description, image upload, and interactive operation, and can generate a complete world with dual-view roaming and real-time editing with one click.
• Character and style generalizationIt accurately adapts to the form and movement rhythm of humans, animals, and fictional characters, while being compatible with realistic scene reproduction and diverse art styles such as anime and AAA games.

HiDream-O1-World project address

• Project official website：https://yanghb22-fdu.github.io/DreamWorld/
• Technical Papers：https://yanghb22-fdu.github.io/DreamWorld/asserts/DreamWorld.pdf

Comparison of HiDream-O1-World with similar competing products

Application Scenarios of HiDream-O1-World

• AI Interactive Movies and GamesUsers are transformed from passive viewers into active participants in the narrative, with the world evolving and branching storylines in real time as they explore, enjoying an immersive experience with multiple endings amidst cinematic visual quality.
• Embossed Intelligent Simulation: Construct high-precision city, factory, and indoor simulation spaces that follow physical rules, providing a low-cost, high-safety virtual testing base for intelligent robot training, replacing high-risk real-world testing.
• 3D digital content productionIt enables designers and creators to quickly generate 3D figurines, home scenes, and art spaces, supporting structural fine-tuning, instant style switching, and intelligent completion, significantly shortening the iteration path from creative idea to finished product.
• Virtual testing of autonomous drivingThe goal is to construct a road environment that highly replicates real traffic rules and physical laws, simulate rare scenarios such as extreme weather and complex road conditions, and accelerate the training and verification of autonomous driving algorithms.
• Microscopic World Life SimulationExtending to the microscopic scale, it accurately simulates life processes such as cell behavior and protein interactions, providing a brand-new digital simulation path for drug discovery, disease mechanism research, and biological experiments.