Instructions to use Jonjew/InesTheFirstDescendant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/InesTheFirstDescendant 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("Jonjew/InesTheFirstDescendant") prompt = "photograph of a futuristic elegant woman, TFD-Ines, in a sleek bodysuit (looking at viewer:1.2). She has a athletic physique. The bodysuit is black with metallic accents and straps and intricate paneling, giving it a high-tech, armor-like appearance. She has fingerless-gloves. Her hair is a light blonde color, styled in an voluminous elegant bun at the back. She is leaning against the desk. She is wearing high-heeled boots that match the suit's color and style, featuring additional straps and buckles. She is in a scifi control room with led lights and and big windows. There is a big sign poster with the text \"HOUND\" on the wall. The metal panels look weathered and old and dirty. There are grass and vines growing from the cracks in the wall. a desk lamp is dimly lighting the room. Highly detailed and realistic image with deep shadows and intense lighting. She is looking at the viewer. <lora:TFD-Ines-2:0.8>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K