Instructions to use Muapi/divine-avatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/divine-avatar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wan-ai/Wan2.1-T2V-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/divine-avatar") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 57a928b856334683c77877c3fbc66d9d9da5aa272aa537a85591f0e8e9fcb130
- Size of remote file:
- 6.92 MB
- SHA256:
- 3ac480f8d4d83e350de7a3bf9d60069fb0c39bb9efe1919a0ef8dacc1517ab4c
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