Instructions to use aellaboudy/weights2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aellaboudy/weights2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aellaboudy/weights2", 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:
- 8deb495d87ca30ec97f5b8c7494ee5b136dd27c069f241df40f0b82762b2a41e
- Size of remote file:
- 681 MB
- SHA256:
- 8426208d26b3b8a4293964395552a070b99499cf4d32c7880adf0e5b35a27aaf
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