Instructions to use aztro/iatnat-ma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aztro/iatnat-ma 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("aztro/iatnat-ma") prompt = "A close-up shot of iara, a woman with dark hair, she is confidently models an exquisite piece of lingerie. The soft, golden lighting illuminates her features, creating a warm and inviting atmosphere. Framed by a plain white background, the focus is solely on the model's captivating presence.\n" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K