Instructions to use Bb8271/s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bb8271/s with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Bb8271/s", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of sksks" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Bb8271/s", dtype=torch.bfloat16, device_map="cuda")
prompt = "photo of sksks"
image = pipe(prompt).images[0]- Downloads last month
- 12
Model tree for Bb8271/s
Base model
stabilityai/stable-diffusion-xl-base-1.0