Instructions to use Eggsbena/model_008 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Eggsbena/model_008 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Eggsbena/model_008", 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 Eggsbena/model_008: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Eggsbena/model_008/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Eggsbena/model_008/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Eggsbena/model_008/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 5c43a04e9b7e9a18201f93492035aac1a19e78be098d34f1763ce0efa56f31e1
- Size of remote file:
- 3.44 GB
- SHA256:
- c0089752fe9598d33ac1062541ef3639354bb19368ad8a5155e2f06ef4ce4e0d
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