amd / Micro-World-I2W

huggingface.co
Total runs: 48
24-hour runs: 8
7-day runs: 13
30-day runs: 27
Model's Last Updated: February 05 2026

Introduction of Micro-World-I2W

Model Details of Micro-World-I2W

In this work, we introduce Micro-World, an action-controlled interactive world model designed to generate high-quality, open-domain scenes. Built on top of the Wan2.1 family of models, we train both image-to-world (I2W) and text-to-world (T2W) variants to support a wide range of use cases. To foster open research and practical adoption in the community, we release the model weights, full training and inference code, as well as a curated dataset specifically tailored for controllable world modeling.

For action injection, we favor adaLN for its lightweight parameter footprint, and ControlNet for its strong empirical stability during training.

Note that released I2W model is trained using AdaLN architecture.

More info please refer to GitHub Repo .

Model Architecture

model architecture model architecture

Video Result

T2W Model
In Domain
W
S
A
D
W+Ctrl
W+Shift
Multiple control
Mouse down and up
Mouse right and left
Open Domain
View Prompt
A cozy living room with sunlight streaming through window, vintage furniture, soft shadows.
View Prompt
A cozy living room with sunlight streaming through window, vintage furniture, soft shadows.
View Prompt
Running along a cliffside path in a tropical island in first person perspective, with turquoise waters crashing against the rocks far below, the salty scent of the ocean carried by the breeze, and the sound of distant waves blending with the calls of seagulls as the path twists and turns along the jagged cliffs.
View Prompt
A young bear stands next to a large tree in a grassy meadow, its dark fur catching the soft daylight. The bear seems poised, observing its surroundings in a tranquil landscape, with rolling hills and sparse trees dotting the background under a pale blue sky.
View Prompt
A giant panda rests peacefully under a blooming cherry blossom tree, its black and white fur contrasting beautifully with the delicate pink petals. The ground is lightly sprinkled with fallen blossoms, and the tranquil setting is framed by the soft hues of the blossoms and the grassy field surrounding the tree.
View Prompt
Exploring an ancient jungle ruin in first person perspective surrounded by towering stone statues covered in moss and vines.
I2W Model
View Prompt
First-person perspective walking down a lively city street at night. Neon signs and bright billboards glow on both sides, cars drive past with headlights and taillights streaking slightly. camera motion directly aligned with user actions, immersive urban night scene.
View Prompt
First-person perspective standing in front of an ornate traditional Chinese temple. The symmetrical facade features red lanterns, intricate carvings, and a curved tiled roof decorated with dragons. Bright daytime lighting, consistent environment, camera motion directly aligned with user actions, immersive and interactive exploration.
View Prompt
First-person perspective of standing in a rocky desert valley, looking at a camel a few meters ahead. The camel stands calmly on uneven stones, its long legs and single hump clearly visible. Bright midday sunlight, dry air, muted earth tones, distant barren mountains. Natural handheld camera feeling, camera motion controlled by user actions, smooth movement, cinematic realism.
View Prompt
First-person perspective walking through a narrow urban alley, old red brick industrial buildings on both sides, cobblestone street stretching forward with strong depth, metal walkways connecting buildings above, overcast daylight, soft diffused lighting, cool and muted color tones, quiet and empty environment, no people, camera motion controlled by user actions, smooth movement, stable horizon, realistic scale and geometry, high realism, cinematic urban scene.
View Prompt
First-person perspective coastal exploration scene, walking along a cliffside stone path with wooden railings, green bushes lining the walkway, ocean to the left with gentle waves, distant islands visible under a clear sky, realistic head-mounted camera view, smooth forward motion, stable horizon, natural human eye level, high realism, consistent environment, camera motion directly aligned with user actions, immersive and interactive exploration.
View Prompt
First-person perspective inside a cozy living room, walking around a warm fireplace, soft carpet underfoot, furniture arranged neatly, bookshelves, plants, and warm table lamps on both sides, warm indoor lighting, calm and quiet atmosphere, natural head-level camera movement, camera motion driven by user actions, realistic scale and depth, high realism, cinematic lighting, no people, no distortion.

Runs of amd Micro-World-I2W on huggingface.co

48
Total runs
8
24-hour runs
11
3-day runs
13
7-day runs
27
30-day runs

More Information About Micro-World-I2W huggingface.co Model

More Micro-World-I2W license Visit here:

https://choosealicense.com/licenses/openrail

Micro-World-I2W huggingface.co

Micro-World-I2W huggingface.co is an AI model on huggingface.co that provides Micro-World-I2W's model effect (), which can be used instantly with this amd Micro-World-I2W model. huggingface.co supports a free trial of the Micro-World-I2W model, and also provides paid use of the Micro-World-I2W. Support call Micro-World-I2W model through api, including Node.js, Python, http.

Micro-World-I2W huggingface.co Url

https://huggingface.co/amd/Micro-World-I2W

amd Micro-World-I2W online free

Micro-World-I2W huggingface.co is an online trial and call api platform, which integrates Micro-World-I2W's modeling effects, including api services, and provides a free online trial of Micro-World-I2W, you can try Micro-World-I2W online for free by clicking the link below.

amd Micro-World-I2W online free url in huggingface.co:

https://huggingface.co/amd/Micro-World-I2W

Micro-World-I2W install

Micro-World-I2W is an open source model from GitHub that offers a free installation service, and any user can find Micro-World-I2W on GitHub to install. At the same time, huggingface.co provides the effect of Micro-World-I2W install, users can directly use Micro-World-I2W installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Micro-World-I2W install url in huggingface.co:

https://huggingface.co/amd/Micro-World-I2W

Url of Micro-World-I2W

Micro-World-I2W huggingface.co Url

Provider of Micro-World-I2W huggingface.co

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