Instructions to use Jonjew/DianeKruger2002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/DianeKruger2002 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/DianeKruger2002") prompt = "<lora:Diane_Kruger_Ca2002:1> woman, blonde <lora:zz_s_Stylish_Lighting:0.5> <lora:zz_s_Fluxartis:0.5> A highly detailed cinematic photography a close-up profile photograph, looking back, smiling, wavy, tinted hair, well-groomed and styled, cascading in soft waves, background is a blurred view of an awards ceremony, emphasizing the texture and color variations in the hair, overall effect is natural and elegant, showcasing the beauty of the hair in a detailed and artistic manner, lighting effects, diffused lighting on skin, skin pores, matte skin, skin imperfections., extreme close-up, zoomed, focus on face, centered, macro shot, face centered, focus on eyes, looking directly at the viewer, looking directly at the camera, making eye contact, looking straight ahead, modest clothes, modest apparel, chest covered, modesty <lora:zz_s_Chest_Size_Slider:-2>âââ" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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