Instructions to use WALIDALI/rawaawlylyr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WALIDALI/rawaawlylyr with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WALIDALI/rawaawlylyr", 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:
- 6d0dbe8dd3000cc7624c09cc254f888b1bc20fc2155694e04ab5d1b3fdd62e4a
- Size of remote file:
- 246 MB
- SHA256:
- ca7850c1451831bfcdf7ac25e561166b514c3ffcff125b44d075c7262a9f3105
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