Instructions to use GraydientPlatformAPI/ebara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ebara with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/ebara", 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.safetensors from GraydientPlatformAPI/ebara: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/GraydientPlatformAPI/ebara/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/ebara/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/ebara/resolve/main/unet/diffusion_pytorch_model.safetensors
5.14 GB
- Xet hash:
- 6873ef38b4f1b5b86189af14f3ad3810248a99a339fed71ac255f5c699f9d27f
- Size of remote file:
- 5.14 GB
- SHA256:
- 9da95122c2fab1b73a40d4711950922ef49824eeb18e6c85583041614831c860
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