Instructions to use adammoss/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adammoss/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("adammoss/test", 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 adammoss/test: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/adammoss/test/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://adammoss/test/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/adammoss/test/resolve/main/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- f1dea02c21b5660c3be1104d16f3516804963a4a3126d995529bd5bb6aa197e9
- Size of remote file:
- 455 MB
- SHA256:
- b412b278de46252097c02bcb7a93673702b34088045c229d5111f4378820ec2a
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