Instructions to use minisa/minaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minisa/minaa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/FLUX.2-dev-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("minisa/minaa") prompt = "realistic back-view photo of a girl with short black hair, standing naturally, photorealistic lighting, proportions preserved exactly as in the reference" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
minaa

- Prompt
- realistic back-view photo of a girl with short black hair, standing naturally, photorealistic lighting, proportions preserved exactly as in the reference

- Prompt
- -
Trigger words
You should use minaa to trigger the image generation.
Download model
Download them in the Files & versions tab.
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