Instructions to use vdo/hallo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vdo/hallo2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vdo/hallo2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
thanks to fudan-generative-ai ❤
Browse files- hallo2/net.pth +3 -0
hallo2/net.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9d751f5500c05aed4d72efaf27df3db4cc4662e16645ba1c6fb447a25979152
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size 4850767602
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