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:
- 3ffeb7dc95ed744ee1d1ffa47b863abb8906f8476a05f1c920518c7a39ce70c2
- Size of remote file:
- 246 MB
- SHA256:
- 62be15e9580d0c83a38d26bfa91c53ae9c4ba1d2cc09438a4a33ed31a42267d6
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