Instructions to use akshay7/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akshay7/sd-class-butterflies-32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("akshay7/sd-class-butterflies-32", 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
- Xet hash:
- 54b1ba14c0afa500dc9ae291c827856b7ff2f92d0c14d4cb00ffd489e9b5b200
- Size of remote file:
- 74.3 MB
- SHA256:
- fd5f5084aa53529ad6753d29e7007aee96c9d39e19fbab4c188bef310001b3a4
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