Instructions to use viktfb/patterngenai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use viktfb/patterngenai with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("viktfb/patterngenai", 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:
- 9ad44c7c4104966506e38fc1e0950ca036261facecdec6ecb9566a8c06cfe8d0
- Size of remote file:
- 3.46 GB
- SHA256:
- 70eaa9d97a0fb3357f62824678773ebc8bbd21f1c3d5db8f7eb6cdc57cc2dc8f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.