Instructions to use JunkieMonkey69/HunterSchafer_ZimageTurbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JunkieMonkey69/HunterSchafer_ZimageTurbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JunkieMonkey69/HunterSchafer_ZimageTurbo") prompt = "Hunter Schafer, The image is a high-resolution photograph of a young woman with a pale, fair complexion, light blonde hair, and piercing blue eyes. Her hair is slicked back, with a few loose strands framing her face. She is wearing a pink hair clip on the right side, near the front, and another clip on the left side, which holds back a section of her hair. The woman's facial features are sharp and slightly angular, with a neutral expression. Her skin is smooth with a slight sheen, and she has a few freckles on her cheeks. She is wearing a multicolored, graphic T-shirt featuring a mix of abstract patterns and monochrome images, including black, white, and various shades of gray. The background of the image is a simple, plain brown wall, which contrasts with the vibrant colors of her clothing. The wall appears to be part of a hallway or backstage area, indicated by the presence of a textured, speckled floor and a wooden door or panel visible at the top left of the frame. The lighting is soft and even, casting minimal shadows, focusing attention on her face and clothing. The overall mood of the photograph is professional, likely taken for a fashion or editorial shoot." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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