Instructions to use stablediffusionapi/3ddesign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/3ddesign 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/3ddesign", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 894a94593091d61cb4260f365a9fe2833232b4745beeb416bb663894b6e48751
- Size of remote file:
- 246 MB
- SHA256:
- 63662441fa49bc3ba859d7179fee03468e54e1d0e43589eb35d95f6d9b00b0cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.