Instructions to use Pramodith/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pramodith/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("Pramodith/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:
- 83ce74be35376d4dfc66dbb2c19e9552b73ebf4ca4da842492d5d4889f87d6c2
- Size of remote file:
- 74.3 MB
- SHA256:
- 856f1eff817b5b2e5456eb4bf1354a1dc409465b8fac00b7f9407e402a4a3f85
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