Instructions to use TencentARC/WorldCrafter-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/WorldCrafter-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/WorldCrafter-Base", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Download transformer/diffusion_pytorch_model-00001-of-00006.safetensors from TencentARC/WorldCrafter-Base: direct link, hf CLI and curl.
- Browser
- Download file 9.99 GB
-
https://huggingface.co/TencentARC/WorldCrafter-Base/resolve/main/transformer/diffusion_pytorch_model-00001-of-00006.safetensors
- Command line
-
hf download hf://TencentARC/WorldCrafter-Base/transformer/diffusion_pytorch_model-00001-of-00006.safetensors
-
curl -L -o diffusion_pytorch_model-00001-of-00006.safetensors https://huggingface.co/TencentARC/WorldCrafter-Base/resolve/main/transformer/diffusion_pytorch_model-00001-of-00006.safetensors
9.99 GB
- Xet hash:
- cca8cf831ac36b15feb29e97bc14b46fb25e2fda95fe83bd68338d594ae4f702
- Size of remote file:
- 9.99 GB
- SHA256:
- 6cac837bbcf54f7120597ac64f3ab05036e5f049d90141752535bef9f835e3d0
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