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:
- 69c5f3af2a51b4fc31b83ea0e42249a5f01e86e2436ce61c22cd19f23bc7394c
- Size of remote file:
- 6.59 MB
- SHA256:
- 804ade20c03eb5871ad2ceff46b14870f3d60b7bd50a738135794daebc1688e8
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