Instructions to use AiAF/Psycheswings_LoRA_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/Psycheswings_LoRA_Flux1 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("AiAF/Psycheswings_LoRA_Flux1") prompt = "psyche\\(Person\\), Psycheswings \\(Person\\), @psychedwings, Photo of a young woman with curly blonde hair, wearing a yellow raincoat over a grey t-shirt, standing on a rainy street in a city. She has a neutral expression and is looking directly at the camera. She is holding a sign that says \"Psyche\". The background features tall buildings and a cloudy sky. The image is taken from a low angle, focusing on the woman's face and upper body. The lighting is soft and natural, highlighting her features. The overall mood is moody and rainy." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#2
by AiAF - opened
Generated example for model AiAF/Psycheswings_LoRA_Flux1.
Prompt: psyche(Person), Psycheswings (Person), @psychedwings, Photo of a woman with curly blonde hair, smiling at the camera. The background is a serene beach scene with gentle waves crashing onto the shore. The lighting is soft and natural, casting gentle shadows on her face and body. The overall mood is cheerful and inviting
AiAF changed pull request status to merged