Instructions to use stubba2/holly_wan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stubba2/holly_wan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stubba2/holly_wan") prompt = "hollywan" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add holly_wan.safetensors
Browse files- holly_wan.safetensors +3 -0
holly_wan.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c05213cba04197bba0c7cee65ed90c1ffd60f88be08894905f9e0b31373b6071
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size 359256720
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