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
Download action_embeds_cache.pt from xzhexiao/ActWorld: direct link, hf CLI and curl.
- Browser
- Download file 340 MB
-
https://huggingface.co/xzhexiao/ActWorld/resolve/main/action_embeds_cache.pt
- Command line
-
hf download hf://xzhexiao/ActWorld/action_embeds_cache.pt
-
curl -L -o action_embeds_cache.pt https://huggingface.co/xzhexiao/ActWorld/resolve/main/action_embeds_cache.pt
340 MB
- Xet hash:
- 555cd20cc82c1fb25c1daaf87e645fa4b9337b98122268a38f67e4d5cc68c1fd
- Size of remote file:
- 340 MB
- SHA256:
- 167f068cb6c0a12d3fa37d9c537f51e378d37d7814df432b6a0674b8a3889b77
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