Instructions to use JunkieMonkey69/StefanieJoosten_ZimageTurbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JunkieMonkey69/StefanieJoosten_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/StefanieJoosten_ZimageTurbo") prompt = "A Caucasian woman, Stefanie, with hazel eyes, high cheekbones and dimples. Ultra-detailed lifestyle portrait of a graceful woman sitting at an outdoor Parisian café with a perfect view of the Eiffel Tower under a bright blue sky with soft clouds. She is wearing a sophisticated white halter dress with a flowing silhouette, styled with pearl earrings and a gold wristwatch, radiating timeless elegance. Her long dark hair cascades over her shoulder in soft waves, catching natural sunlight that highlights her warm smile and glowing complexion. The table is set with crystal-clear wine glasses, cutlery, and a crisp white tablecloth, creating a refined dining atmosphere. The lush green hedge frames the scene, contrasting with the metallic lattice of the Eiffel Tower in the background. Captured in natural daylight, the textures are crisp and realistic: the smooth fabric of the dress, the sparkle of jewelry, the reflective surfaces of the glassware, and the sharp architectural lines of the tower. High-fashion editorial meets cinematic travel photography style, Parisian romance aesthetic, 8K resolution." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Create Workflow+Samples
#1
by JunkieMonkey69 - opened
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