Instructions to use cm2300/sd-class-butterflies-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cm2300/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("cm2300/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:
- fce56ac38bb2c8e218b942e18fde8f84c4c53759bf1e20704cc99679d82b135e
- Size of remote file:
- 455 MB
- SHA256:
- cab42dc3954e8426b798c3004de2a67113bb56ac237ab191706f8f90a04a819a
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