Instructions to use birdaz/aido with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use birdaz/aido with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("birdaz/aido", 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:
- 664815f4fc107649ba8c938bc465a86832c99f3149e55f5bdb6e2cb61aeb28b7
- Size of remote file:
- 246 MB
- SHA256:
- a6db7d11a1a7b6ef9d6502f36943cc75e3a120fae95125e12d6ba6379838f51f
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