Instructions to use WALIDALI/rawaawly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WALIDALI/rawaawly 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/rawaawly", 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:
- 8c0513af2f0a595db32b383b2712cb40cd3ccd2ecafb7193bff02b3d35bee760
- Size of remote file:
- 3.44 GB
- SHA256:
- a83fad59fc6f98393daabc7d954e53af6e079687d3753501312a2c145a571594
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