Instructions to use krasnova/ddim_afhq_64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krasnova/ddim_afhq_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("krasnova/ddim_afhq_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 krasnova/ddim_afhq_64: direct link, hf CLI and curl.
- Browser
- Download file 74.3 MB
-
https://huggingface.co/krasnova/ddim_afhq_64/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://krasnova/ddim_afhq_64/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/krasnova/ddim_afhq_64/resolve/main/diffusion_pytorch_model.bin
74.3 MB
- Xet hash:
- b8015ce118546d25415a9dd79cb966cd73ad010c39432cc6bbe4972c96bc02a3
- Size of remote file:
- 74.3 MB
- SHA256:
- 413acf60cd98fccff573f52618633f3eb9908749d9155c9c7ebfdd70457b59ef
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