Instructions to use Jonjew/EmilyWickersham2013 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/EmilyWickersham2013 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/EmilyWickersham2013") prompt = "<lora:Emily_Wickersham:1.2> woman, extreme close-up, centered, staring directly and intently at viewer, looking directly at viewer, looking at viewer, modest clothes, modest apparel, modesty <lora:zz_s_Chest_Size_Slider:-1> a close-up photo of a beautiful princess, smiling, extremely long wavy hair, looking directly at the viewer, wearing a diamond tiara, a gorgeous silk high-neck button-up painter's smock that could only be magically made, red lipstick, rosy cheeks, eye makeup, light particles seem to float all around her, golden hour, god rays, sunshine, professional photograph." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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