Instructions to use Jonjew/TracyNelsonv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/TracyNelsonv2 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/TracyNelsonv2") prompt = "SFW, brightly lit, aidmaimageupgrader, A hyperrealistic close-up portrait of a woman wearing a soft, oversized hoodie and fitted high-waisted jeans, standing in an urban alleyway with warm golden sunlight filtering between the buildings. Her long, slightly tousled blonde hair falls naturally over her shoulders, a few strands catching the light. Her soft brown eyes are filled with quiet confidence, and her lips are curved into a faint, knowing smirk. She casually tugs at the edge of her hoodie sleeve, her relaxed posture enhancing her laid-back beauty. The blurred background features brick buildings with graffiti art, a coffee cup resting on a ledge nearby, and the faint outline of a bustling city in the distance. Ultra-detailed fabric textures, extreme realism in skin and hair, soft cinematic lighting enhancing depth and atmosphere.<lora:pony\\Letha_Weapons_Pony_-_Adult_Actress_and_Model.safetensors:1.0:1.0> <lora:flux\\custom\\celebrity\\tracy-nelson.safetensors:1.1:1.1> <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
Ctrl+K