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:
- 5b1c089f899188b5775645202e027fb27eac9631ebfe0b8d6a8f3909292c8579
- Size of remote file:
- 6.59 MB
- SHA256:
- 23dfde8a51932b6472f61532aea2a5349d26dd75af1173e07f5ac9edcec7b142
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