Instructions to use Rand000mGuy/willaSO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/willaSO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/willaSO") prompt = "A professional mid-shot analog photograph of a moody 20-year-old woman with a messy brunette fringe haircut, winking one eye while playfully biting down on a long black fabric strap held tightly in both hands. She is wearing a dark vintage graphic band t-shirt with a faded print. The setting is indoors, positioned directly in front of a bright window covered by soft, translucent white curtains that diffuse the natural backlight. The composition has a raw, cinematic 35mm film aesthetic with subtle grain, desaturated dark tones, high contrast, and a nostalgic, edgy youth culture atmosphere. <lora:willa_krea2_sickollie:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
willaSO

- Prompt
- A professional mid-shot analog photograph of a moody 20-year-old woman with a messy brunette fringe haircut, winking one eye while playfully biting down on a long black fabric strap held tightly in both hands. She is wearing a dark vintage graphic band t-shirt with a faded print. The setting is indoors, positioned directly in front of a bright window covered by soft, translucent white curtains that diffuse the natural backlight. The composition has a raw, cinematic 35mm film aesthetic with subtle grain, desaturated dark tones, high contrast, and a nostalgic, edgy youth culture atmosphere. <lora:willa_krea2_sickollie:1>
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