Instructions to use iqmand/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iqmand/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("iqmand/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:
- b7a7e65de6d9793f986d618933902242ed2fa2341287d333463b06195648bc46
- Size of remote file:
- 74.3 MB
- SHA256:
- 95d0bf668992dd63e358885564285ffd9c0efd4270de3213bdcd138c6dcd1363
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