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
Update README.md
#225
by samyalsbyhy - opened
README.md
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@@ -98,7 +98,7 @@ refiner.to("cuda")
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# Define how many steps and what % of steps to be run on each experts (80/20) here
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n_steps = 40
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high_noise_frac = 0.
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prompt = "A majestic lion jumping from a big stone at night"
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# Define how many steps and what % of steps to be run on each experts (80/20) here
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n_steps = 40
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high_noise_frac = 0.
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prompt = "A majestic lion jumping from a big stone at night"
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