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
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Download README.md from TencentARC/WorldCrafter-Base: direct link, hf CLI and curl.
- Browser
- Download file 1.14 kB
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https://huggingface.co/TencentARC/WorldCrafter-Base/resolve/main/README.md
- Command line
-
hf download hf://TencentARC/WorldCrafter-Base/README.md
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curl -L -o README.md https://huggingface.co/TencentARC/WorldCrafter-Base/resolve/main/README.md
1.14 kB
metadata
library_name: diffusers
pipeline_tag: image-to-video
tags:
- arxiv:2609.24984
- worldcrafter
- text-to-video
- camera-control
WorldCrafter-Base
Base transformer weights and their matching camera adapter and LoRA for the WorldCrafter inference code.
Place this directory beside WorldCrafter-Fast. Base reads the following shared folders from Fast: repencoder/, text_encoder/, tokenizer/, vae/, and scheduler/. Base does not need Fast's transformer or adapter folders. The relative path is configured in inference_config.json.
From the code repository root:
python inference.py --model-type base --model-path weights/WorldCrafter-Base --output-path outputs/base.mp4
Keep the Base-specific transformer/ and adapter/ together. SHA256SUMS covers the packaged Base files; shared component hashes are recorded in Fast's package.