Instructions to use GraymanMedia/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraymanMedia/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("GraymanMedia/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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from GraymanMedia/test: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/GraymanMedia/test/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://GraymanMedia/test/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/GraymanMedia/test/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- acd693df07a9231e94aa313700ae9a522336d6ddd0ed131f5df125d1785e93f5
- Size of remote file:
- 3.44 GB
- SHA256:
- 10fe9384f3b488165cd8be3570a9ca38934e212fa88708ff5605b7d5861a4494
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