Instructions to use ALT2/qaz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ALT2/qaz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ALT2/qaz") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4ccf1cb1fb5c36b5e041de7317ab476b9e463fd35817403e41a4f282be9ed067
- Size of remote file:
- 47.5 MB
- SHA256:
- 45035785ea45ed2769b5f4cccaf22d964cfa3d4fd6e147e6ee81fb229e83f43e
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