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
- Draw Things
- DiffusionBee
- Xet hash:
- 5ef207e6518581f7c8c9726ae61f808d333ffa806693380e13ab359e56efcd1c
- Size of remote file:
- 3.29 MB
- SHA256:
- c6a12f264b17f2509788430088ecc0c5e07b836a4d0c83961715e6f49e7d82dd
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