Instructions to use Jonjew/JulietteLewis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/JulietteLewis 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/JulietteLewis") prompt = "SFW, brightly lit, aidmaimageupgrader, A hyperrealistic, close-up portrait of a woman with sleek cybernetic implants integrated into her temples, glowing faintly with neon blue circuitry. Her eyes are a striking blend of human and synthetic, scanning data streams visible in her vision. She wears a high-tech bodysuit with luminescent circuit patterns tracing her collarbones and shoulders. The city skyline behind her is a neon-lit cyberpunk dreamscape, towering skyscrapers glowing with electric advertisements. Extreme facial realism, hyper-detailed synthetic textures, deep cyberpunk neon lighting creating a futuristic glow.<lora:pony\\Letha_Weapons_Pony_-_Adult_Actress_and_Model.safetensors:1.0:1.0> <lora:flux\\custom\\celebrity\\juliette-lewis.safetensors:1.0:1.0> <lora:turbo-8-step-flux.safetensors:0.5:0.5> <lora:flux\\style\\Common\\aidmaImageUprader-FLUX-v0.3.safetensors:0.25:0.25>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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