Instructions to use Jonjew/CherylLadd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/CherylLadd 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/CherylLadd") prompt = "<lora:Cheryl_Ladd_Ca1975:1> woman with a gun Hawaiian-style dress with large flower print on the front, one shoulder strap, Hawaiian themed hair with a flower, a Hawaiian Lei around the neck, scene is Hawaii. A faded film, desaturated, 35mm photo with a grainy texture, vignette, and vintage aesthetic, reminiscent of Kodachrome or Lomography. The image is stained, highly detailed, and resembles found footage., Looking Directly At The Viewer, Centered, Making Eye Contact, Looking Straight Ahead, Looking Forward, Striking A Dynamic Pose, <lora:zz_s_Chest_Size_Slider:-1> buttoned up top, Extreme Close-Up, Zoomed, Focus On Face, Centered, Macro Shot, Face Centered, Focus On Eyes" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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