Instructions to use workitoscinco/alural with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use workitoscinco/alural with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("workitoscinco/alural", 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:
- c024fc099014cbc6b1420e3d97f0a59204d878b2c1eebfcb0cc83ee709852ab9
- Size of remote file:
- 246 MB
- SHA256:
- daa9f648027823ce1a98bfa7a69944456fc7476521536da8db247b2baf88b93d
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