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", torch_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
- Xet hash:
- 9806743bbfd30fd14935dfbf996ee9c68fa418e815ccde0a9340bdaf7c48cc8f
- Size of remote file:
- 492 MB
- SHA256:
- ea186b816d2399c78212062f6131156778e490f430b3a4c0d2af46d1176775bd
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