Instructions to use TaoLiveAIGC/AptAvatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TaoLiveAIGC/AptAvatar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TaoLiveAIGC/AptAvatar", torch_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
- Xet hash:
- 97c82727038b70de7306508fffcfef64658521a2f429e1a56090ce4ef85a363e
- Size of remote file:
- 826 kB
- SHA256:
- 6737ab8104c3d92d5d673c6749c94fcc57b67f69cab3be85f726fbbd19c35c3a
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