Instructions to use stablediffusionapi/3danimationdiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/3danimationdiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/3danimationdiffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 4a8648dc3323962d6ce9229abbede1d02080851ab29601f9aa48bca8e81c90af
- Size of remote file:
- 1.72 GB
- SHA256:
- 952ed2cf538e3e6026b814454a57065e861977b734c5ff4df1d9ab5a33ff6d5e
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