Instructions to use Jonjew/BarbaraBabcock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/BarbaraBabcock 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/BarbaraBabcock") prompt = "Breathtaking sfw photography, young, The image is a portrait of a woman standing in a snowy landscape. She is wearing a gray puffer jacket with a fur hood and a brown scarf around her neck. Her hair is styled in loose waves and she is looking off to the side with a serious expression on her face. The background is blurred, but it appears to be a snowy field with trees in the distance. The overall mood of the image is cold and wintery. This image is captured in a medium shot, ensuring that the subject's chest remains modestly covered., smile, eyes makeup, sensual lips, eyelashes, fine hair detail, perfect eyes, iris pattern, (perfectly sharp:1.3), realistic textures, (deep focus:1.2), negative space around subject, 8k uhd, dslr, ultra high quality image, Fujifilm XT3flux\\custom\\celebrity\\barbara-babcock.safetensors" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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