Instructions to use mindbytes/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mindbytes/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("mindbytes/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:
- dec1d68996f130c9ab7fad3f0988891c90ccba641cc1679ee24c08bb150da022
- Size of remote file:
- 101 MB
- SHA256:
- c75a17276da97cf8b2557b33590b91a404f0919db0e4817152f2cc670f5a57df
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