Instructions to use stabilityai/stable-diffusion-xl-base-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-xl-base-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Solid work β testing for mobile deployment
#259
by 3morixd - opened
We're always scanning HuggingFace for models that could work on mobile. This one caught our attention.
At Dispatch AI (FZE, Sharjah UAE), we test models on a 40-phone farm (Samsung S20 FE, Snapdragon 865). If this fits the mobile deployment criteria, we'll quantize and benchmark it.
Appreciate the open release. Open weights move the whole field forward.
β Dispatch AI (FZE), Sharjah UAE