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
File size: 440 Bytes
d96d29e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"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": [
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],
"target_views": 4,
"tensor_count": 2331
}
|