Instructions to use Hectore/Female_models_ZIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hectore/Female_models_ZIT 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("Hectore/Female_models_ZIT") prompt = "3V3 a woman in a close-up glam portrait, evening makeup with shimmering tones, metallic earrings, intense studio spotlight from above, deep shadows sculpting the face, shot with a beauty dish" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
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