Image-to-Video
Diffusers
Safetensors
world-model
interactive-video-generation
video-generation
helios
Instructions to use xzhexiao/ActWorld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xzhexiao/ActWorld 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("xzhexiao/ActWorld", 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
Commit History
7 days ago
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Model card: input folder format
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Model card: infer.sh is the single entry point
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Model card: merged/ with infer.sh as the main route
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Model card: stage1_init checkpoint sizes
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Add files using upload-large-folder tool
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Add files using upload-large-folder tool
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initial commit
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