Instructions to use Manjiri/diffusion-generated-butterflies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Manjiri/diffusion-generated-butterflies with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Manjiri/diffusion-generated-butterflies", torch_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:
- beb0f61715ee604a9a8d6a9a4d41057812154f0f6a06214ba3bb908da1703769
- Size of remote file:
- 74.2 MB
- SHA256:
- 437b9b3be6b4802f4849d8310212d52cde71402ef9624cee4b55674d5563456a
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