Instructions to use JunkieMonkey69/BarbaraPalvin_ZimageTurbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JunkieMonkey69/BarbaraPalvin_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/BarbaraPalvin_ZimageTurbo") prompt = "Barbara palvin, The shot captures a moment of gentle serenity and natural splendor. The woman is lying down, turning her head toward the camera, her expressive gaze with slight thoughtfulness drawing attention. The skin glows with a soft radiance, emphasizing delicate features and fine structure. Abundant black hair is spread out freely, creating a velvety veil with a silky texture. She is wearing a voluminous fur jacket in warm brownish tones with thick fluffy wool, the shades of which are visible in highlights and shadows, creating depth around the figure. Light from the top-left softly defines the contours of the face and the texture of the fur, making the frame three-dimensional and lifelike. The background of light fabric with a barely perceptible structure contrasts with the rich colors and focuses attention on the model. The composition concentrates on deep emotion." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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