Instructions to use Eggsbena/model_005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Eggsbena/model_005 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_005", 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 safety_checker/pytorch_model.bin from Eggsbena/model_005: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/Eggsbena/model_005/resolve/main/safety_checker/pytorch_model.bin
- Command line
-
hf download hf://Eggsbena/model_005/safety_checker/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Eggsbena/model_005/resolve/main/safety_checker/pytorch_model.bin
1.22 GB
- Xet hash:
- 957b38300531d5c37d4e155726f00c82183acc1caa356e4c23ac61166bf35cba
- Size of remote file:
- 1.22 GB
- SHA256:
- 753acd54aa6d288d6c0ce9d51468eb28f495fcbaacf0edf755fa5fc7ce678cd9
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