Instructions to use iab/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iab/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V5.1_noVAE", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("iab/output") prompt = "a photo of sks style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dcabcc3dfd070b8a8002b22b9dbcdd44ec0ed1c5c75960b1601327c4a1827b4f
- Size of remote file:
- 3.29 MB
- SHA256:
- d776ee6ce4bbe5ee0a9b8472cf154c0b7be8736cedd7d862b993b6a8c951279a
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