Instructions to use TencentARC/WorldCrafter-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/WorldCrafter-Fast 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-Fast", 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 repencoder/manifest.json from TencentARC/WorldCrafter-Fast: direct link, hf CLI and curl.
- Browser
- Download file 440 Bytes
-
https://huggingface.co/TencentARC/WorldCrafter-Fast/resolve/main/repencoder/manifest.json
- Command line
-
hf download hf://TencentARC/WorldCrafter-Fast/repencoder/manifest.json
-
curl -L -o manifest.json https://huggingface.co/TencentARC/WorldCrafter-Fast/resolve/main/repencoder/manifest.json
440 Bytes
| { | |
| "format": "worldcrafter_repencoder_v1", | |
| "input_shape": [ | |
| 16, | |
| 9, | |
| 48, | |
| 80 | |
| ], | |
| "model_filename": "model.safetensors", | |
| "model_sha256": "5e86abf6f1ecf86f52610be115827d123113fdfa1aab00630d76a2d2a1e938fc", | |
| "output_shape": [ | |
| 16, | |
| 4, | |
| 48, | |
| 80 | |
| ], | |
| "precision": "mixed_bfloat16_float32", | |
| "source_views": 9, | |
| "target_slots": [ | |
| 2, | |
| 4, | |
| 6, | |
| 8 | |
| ], | |
| "target_views": 4, | |
| "tensor_count": 2331 | |
| } | |