Instructions to use ECNU-CILab/ArtAug-lora-FLUX.1dev-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ECNU-CILab/ArtAug-lora-FLUX.1dev-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ECNU-CILab/ArtAug-lora-FLUX.1dev-v1") prompt = "A romantic scene featuring a couple embracing under a full moon, with a serene lake and mountains in the background, surrounded by red flowers." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K