Instructions to use mohammadhadiarabi/ddpm-butterflies-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mohammadhadiarabi/ddpm-butterflies-128 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mohammadhadiarabi/ddpm-butterflies-128", 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 unet/diffusion_pytorch_model.bin from mohammadhadiarabi/ddpm-butterflies-128: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/mohammadhadiarabi/ddpm-butterflies-128/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://mohammadhadiarabi/ddpm-butterflies-128/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/mohammadhadiarabi/ddpm-butterflies-128/resolve/main/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- bfc28f99acd7bda6aa5752ebc75722ea7bc3a25f6db7ae468c90a9a79a2a7365
- Size of remote file:
- 455 MB
- SHA256:
- 9f7dd054da87281a676a58ea853a4f22753e139a5a31dbb36e4f79d634e08d0a
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