Instructions to use Jonjew/LeslieBibb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/LeslieBibb 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/LeslieBibb") prompt = "<lora:Leslie_Bibb_Ca2000:1> woman, smiling Scene From The Film âA Quiet Place\", Extreme Close-Up, Extreme Macro Shot, Updo, Afraid, Backlight, Background Is Abandoned Factory, Flaming Torches, Glow Effects, Staring Directly And Intently At Viewer, Looking Directly At Viewer, Looking At Viewer., Looking Directly At The Viewer, Centered, Making Eye Contact, Looking Straight Ahead, Looking Forward, Striking A Dynamic Pose, <lora:zz_s_Chest_Size_Slider:-2.5>, 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>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K