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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 06e24981fb41bb4ecd22cb9f5f23f0a6840a92c4e21f501b249f0082ba5fb294
- Size of remote file:
- 1.72 GB
- SHA256:
- 7d3278a212f0fbaeeafc2163f97803a87aded0d4e8a4fb6ad58cb0c877165661
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