Instructions to use RedPandaAINLP/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RedPandaAINLP/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("RedPandaAINLP/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:
- 438c45a6e7ad189ad47a99cc5162308b09ae151c1a82a03ee6c31e791815b2e6
- Size of remote file:
- 74.3 MB
- SHA256:
- fe5ad14ebedcc544d68001edee21a57e21d574692588f490b764c68d9a811de3
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