Instructions to use Yang-Tian/StereoWorldModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yang-Tian/StereoWorldModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yang-Tian/StereoWorldModel", 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
| { | |
| "_class_name": "Wan2_2_CameraPipeline", | |
| "_diffusers_version": "0.35.1", | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "UMT5EncoderModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "T5TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffactory.models.transformers.wan_transformer_3d", | |
| "Wan2_2Transformer3DModel" | |
| ], | |
| "transformer_2": [ | |
| null, | |
| null | |
| ], | |
| "vae": [ | |
| "diffactory.models.wan_vae", | |
| "AutoencoderKLWan3_8" | |
| ] | |
| } | |