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: 628 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 29 30 31 32 33 34 35 36 | {
"dino_depth": 24,
"dino_dim": 1024,
"dino_heads": 16,
"dino_input_block": 2,
"format": "worldcrafter_repencoder_config_v1",
"latent_channels": 16,
"latent_height": 48,
"latent_special_tokens": 5,
"latent_width": 80,
"output_kernel": [
3,
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],
"patch_height": 22,
"patch_width": 37,
"ray_height": 384,
"ray_width": 640,
"repfeature_depth": 10,
"repfeature_heads": 12,
"scene_dim": 768,
"source_views": 9,
"target_patch_size": 8,
"target_slots": [
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],
"target_views": 4,
"vggt_depth": 24,
"vggt_heads": 16,
"vggt_register_tokens": 4
}
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