Instructions to use Jonjew/MauraTierney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/MauraTierney 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/MauraTierney") prompt = "<lora:Maura_Tierney_Ca2001:1> woman, smiling A Beautiful Princess, Smiling, Extremely Long Wavy Hair, Diamond Tiara, Silk Glowing High-Neck Gown, Thin Waist, High Heels, Light Particles Seem To Float All Around Their, Golden Hour, God Rays, Sunshine, Professional Photography, Magical Particles Are Floating In The Air, Bokeh, 80mm Lens, F 1/8, Depth Of Field.., Glow Effects, God Rays, Smoke Effects, Hand Drawn, 3d Octane Render, Cinema 4d, Blender, Dark, Atmospheric, Ultra Detailed, Sharp Focus, Big Depth Of Field, Masterpiece, Concept Art, Trending On Artstation, CG Unity, Trending On CGSociety, Dramatic, Professional Photo, 4k Wallpaper, Hyper Realistic, Vivid Colors, Extremely Detailed, 8k Wallpaper, Intricate, High Detail, Dramatic Lighting, High Contrast, Shadows, Highlights, Golden Hour, Backlighting, Sunbeams, God Rays <Lora:zz_s_Fluxartis:0.5> A Highly Detailed Cinematic Photography <Lora:zz_s_Stylish_Lighting:0.5>, Looking Directly At The Viewer, Centered, Body Perpendicular to Viewer, Looking Directly At The Camera, Making Eye Contact, Looking Straight Ahead, <lora:zz_s_Chest_Size_Slider:-2.5>âââ" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K