Instructions to use gstaff/sd-class-butterflies-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gstaff/sd-class-butterflies-64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gstaff/sd-class-butterflies-64", 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:
- 4ababb1025f409008b63d2c79ce28f92efcd75138580127dd1b090c651c4b179
- Size of remote file:
- 455 MB
- SHA256:
- dd32d99193b7f64f38da38d8e6bf7a75d11146e52bff1a459ebd9df539888881
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