Instructions to use openskyml/sd-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/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("openskyml/sd-turbo", dtype=torch.bfloat16, device_map="cuda") prompt = "turbo" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from openskyml/sd-turbo: direct link, hf CLI and curl.
- Browser
- Download file 205 Bytes
-
https://huggingface.co/openskyml/sd-turbo/resolve/main/README.md
- Command line
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hf download hf://openskyml/sd-turbo/README.md
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curl -L -o README.md https://huggingface.co/openskyml/sd-turbo/resolve/main/README.md
205 Bytes
metadata
base_model: stabilityai/sd-turbo
instance_prompt: turbo
tags:
- text-to-image
- diffusers
- sd-turbo
- stabilityai
- openskyml
inference: true
SD-turbo
Fast generate images with SD-turbo!