Instructions to use ainz/astroidlogox-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ainz/astroidlogox-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ainz/astroidlogox-v1", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 1095fdf496b349cb408be3d1db223a7fb4f396e16575a776048cb4969976dd33
- Size of remote file:
- 492 MB
- SHA256:
- a9e2c631293732ea1f13e46138ddc9d8819b669c9b0c85c273c36cdef4e94b34
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