Instructions to use groomata/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use groomata/test2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("groomata/test2", 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 groomata/test2: direct link, hf CLI and curl.
- Browser
- Download file 75.5 MB
-
https://huggingface.co/groomata/test2/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://groomata/test2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/groomata/test2/resolve/main/unet/diffusion_pytorch_model.bin
75.5 MB
- Xet hash:
- 0130a8230fa1079dc79f932685f539ef4b770f05ec567b4147c0a122af767593
- Size of remote file:
- 75.5 MB
- SHA256:
- 6d380a50eaa00e0a6a9aa6b601356e931b48a73e969176727bdb9f26e0139f35
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