Instructions to use cfu/sd2-turbo-bin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cfu/sd2-turbo-bin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cfu/sd2-turbo-bin", 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
Stable Diffusion 2 Turbo stabilityai/sd-turbo, converted to .bin
There is a bug in my version of diffusers when converting from safetensors. So I convert the model into .bin and upload it here for the sake of convenience.
pipe, params = diffusers.pipelines.stable_diffusion.FlaxStableDiffusionPipeline.from_pretrained("sd-turbo",from_pt=True,use_safetensors=False)
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Model tree for cfu/sd2-turbo-bin
Base model
stabilityai/sd-turbo