Instructions to use ahmad21112009/LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ahmad21112009/LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("strangerzonehf/Flux-Super-Realism-LoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ahmad21112009/LoRA") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- -
Model tree for ahmad21112009/LoRA
Base model
black-forest-labs/FLUX.1-dev