Instructions to use jfjensen/sd-class-butterflies-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jfjensen/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("jfjensen/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
Download diffusion_pytorch_model.bin from jfjensen/sd-class-butterflies-64: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/jfjensen/sd-class-butterflies-64/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://jfjensen/sd-class-butterflies-64/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/jfjensen/sd-class-butterflies-64/resolve/main/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 1eb5263822b644f7b98e9b24340f46e71a26dfb5aff0570c0b2ea54c6ca025b3
- Size of remote file:
- 455 MB
- SHA256:
- 6a24b4dce692c952a6af87b930acfabc9d2301a6e21d255f13a9afad15978195
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