Instructions to use Eaudaim/anna01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Eaudaim/anna01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Eaudaim/anna01", 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:
- 174333466cf1182c52007759000795323f5983d80eecfe30e21458ea4ddc1d0b
- Size of remote file:
- 3.44 GB
- SHA256:
- 92c56795b8b1382233bddf1a767e5e9fe0eae84a88b5093c29af89e1d1c06e37
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