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
Ctrl+K
- scheduler
- text_encoder
- text_encoder_2
- tokenizer
- tokenizer_2
- unet
- vae
- vae_1_0
- vae_decoder
- vae_encoder
- 1.56 kB
- 4.61 MB xet
- 14.1 kB
- 8.67 kB
- 175 kB
- 229 kB
- 213 kB
- 79.9 kB
- 315 kB
- 168 kB
- 182 kB
- 207 kB
- 136 kB
- 184 kB
- 203 kB
- 127 kB
- 147 kB
- 162 kB
- 178 kB
- 115 kB
- 130 kB
- 609 Bytes
- 80.2 kB
- 6.94 GB xet
- 6.94 GB xet
- 49.6 MB xet