Instructions to use stablediffusionapi/3dkeaibasev3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/3dkeaibasev3 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/3dkeaibasev3", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 70e5b31d8ec37a87925a4efc8667c824c5c3a9a0588ab2d1a0d929af2f4a1169
- Size of remote file:
- 246 MB
- SHA256:
- c6c66696d0bafb406d56c0df53e43478cc0104abca75eac7f40c784d6c06fd25
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