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
- Xet hash:
- 39a1c767c57d3fb2b96a740fe5ed79303a08b0f411eb63c6953aa517a856ea93
- Size of remote file:
- 3.46 GB
- SHA256:
- 2011a39377143a32bdb53b7bb866cdafb573b06d0405a19405e9f43b0c275aac
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