Instructions to use lora-library/saz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/saz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("andite/anything-v4.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/saz") prompt = "saz" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e400e124f75a198106bc328910a8cd6f4d474c0f19f988ebb35dbb55bf2e74a2
- Size of remote file:
- 3.29 MB
- SHA256:
- bfdcddb808523f6f4a1b0dd857b15fd32e602fd3d24bd1e065a85f1729197246
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