Instructions to use open-gigaai/CVPR-2026-WorldModel-Track-Model-Task3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use open-gigaai/CVPR-2026-WorldModel-Track-Model-Task3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("open-gigaai/CVPR-2026-WorldModel-Track-Model-Task3", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -59,7 +59,7 @@ Participants may use this model as:
|
|
| 59 |
|
| 60 |
The dataset for all tasks is provided in the official challenge dataset repository:
|
| 61 |
|
| 62 |
-
https://huggingface.co/datasets/open-gigaai/CVPR-2026-
|
| 63 |
|
| 64 |
Access requires:
|
| 65 |
|
|
@@ -86,7 +86,7 @@ Commercial use requires permission from the organizers
|
|
| 86 |
|
| 87 |
For full license terms please refer to the dataset repository:
|
| 88 |
|
| 89 |
-
https://huggingface.co/datasets/open-gigaai/CVPR-2026-
|
| 90 |
|
| 91 |
# Citation
|
| 92 |
|
|
|
|
| 59 |
|
| 60 |
The dataset for all tasks is provided in the official challenge dataset repository:
|
| 61 |
|
| 62 |
+
https://huggingface.co/datasets/open-gigaai/CVPR-2026-WorldModel-Track-Dataset
|
| 63 |
|
| 64 |
Access requires:
|
| 65 |
|
|
|
|
| 86 |
|
| 87 |
For full license terms please refer to the dataset repository:
|
| 88 |
|
| 89 |
+
https://huggingface.co/datasets/open-gigaai/CVPR-2026-WorldModel-Track-Dataset
|
| 90 |
|
| 91 |
# Citation
|
| 92 |
|