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
Upload sample_images with huggingface_hub
Browse files- sample_images/anna01.png +0 -0
- sample_images/anna02.png +0 -0
- sample_images/anna12.png +0 -0
- sample_images/anna13.png +0 -0
- sample_images/annaEncore.png +0 -0
sample_images/anna01.png
ADDED
|
sample_images/anna02.png
ADDED
|
sample_images/anna12.png
ADDED
|
sample_images/anna13.png
ADDED
|
sample_images/annaEncore.png
ADDED
|