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
- Draw Things
- DiffusionBee
Update README.md
Browse filesBruning sun in the sky and a main character standing in front of it area is surrounded by mountains
README.md
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tags:
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- text-to-image
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- stable-diffusion
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---
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# SD-XL 1.0-base Model Card
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- The autoencoding part of the model is lossy.
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### Bias
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While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
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tags:
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- text-to-image
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- stable-diffusion
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language:
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- en
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base_model:
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- John6666/sino-station-xl-manhua-v14-2-sdxl
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---
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# SD-XL 1.0-base Model Card
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- The autoencoding part of the model is lossy.
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### Bias
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While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
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