Instructions to use Kristobal/tmp-sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kristobal/tmp-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("Kristobal/tmp-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:
- dbc6b381c49c4ed14aae91aee3ed870773aa7f13e921940a341b87e73cbe3ad0
- Size of remote file:
- 74.3 MB
- SHA256:
- 80c5152d7d47dc991e6a81d6f0ae76fee043cd839c23bbb07d0cb68db2a454b6
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