Instructions to use stabilityai/sd-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/sd-turbo 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/sd-turbo", 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 Settings
- Draw Things
- DiffusionBee
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README.md
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We release SD-Turbo as a research artifact, and to study small, distilled text-to-image models. For increased quality and prompt understanding,
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we recommend [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo/).
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Please note: For commercial use, please refer to https://stability.ai/
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## Model Details
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We release SD-Turbo as a research artifact, and to study small, distilled text-to-image models. For increased quality and prompt understanding,
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we recommend [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo/).
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Please note: For commercial use, please refer to https://stability.ai/license.
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## Model Details
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