Instructions to use Jonjew/CraigHannaStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/CraigHannaStyle 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/CraigHannaStyle") prompt = "By Craig Hanna. A portrait of a woman with an expressive expression, painted in a realistic style with a focus on texture and color. the woman is positioned in the middle of the image, with her upper body facing the viewer. she appears to be in her mid-twenties, with dark brown hair styled in a messy bun on the left side of her face. her eyes are a bright orange, and she has a serene and contemplative expression. her lips are slightly parted, as if she is about to say something. she is wearing a white shirt, and her hands are clasped together in front of her neck. the background is a soft gradient of light purple and white, with splashes of green and brown, creating a sense of movement and energy. the style is reminiscent of contemporary art, with bold lines and vibrant colors that bring the subject to life." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K