Instructions to use Mariobilly/bostonss26-000000750 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mariobilly/bostonss26-000000750 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Mariobilly/bostonss26-000000750") 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:
- abe576ca211f98f1bde96b1559d8ce63517d5ab2ff00e05d2af1d96cf1733f1c
- Size of remote file:
- 737 kB
- SHA256:
- eca34811ad04888c333a05ad2db2af3511dd7032bf14a87e7bcd5d8f603522d0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.