Instructions to use meteorlad/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 meteorlad/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("meteorlad/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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d34223e7c2c34fd55f60ac87907a4e1f0dd4a225b61fa408bec0c201ddf804e7
- Size of remote file:
- 137 MB
- SHA256:
- 97f04b0cf74808c7bd9b6e09f080e8cd24821943c3c06b153145989889215ce5
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