Instructions to use Akiyue/awwl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akiyue/awwl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Akiyue/awwl", 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
- Xet hash:
- 72576deb7b0b1fa28fa6860119d69007df6cf6bbf244f871b824f31d1b3ddda5
- Size of remote file:
- 170 MB
- SHA256:
- 6d958be074577803d12ecdefd02955f39262c83c16fe9348329d7fe0b5c001ce
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