Instructions to use liming518/FluxAAcups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/FluxAAcups 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("liming518/FluxAAcups") prompt = "cropped original img from lora creator" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Civitai lora for Flux1dev
Original image for this lora and images i made:

- Prompt
- cropped original img from lora creator

- Prompt
- clothed latina prompt

- Prompt
- bikini latina prompt

- Prompt
- clothed asian prompt
- Downloads last month
- 44
Model tree for liming518/FluxAAcups
Base model
black-forest-labs/FLUX.1-dev