Instructions to use ManyWayne/Photography_ZI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManyWayne/Photography_ZI 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ManyWayne/Photography_ZI") prompt = "An Instagram-style selfie captured on the breathtaking white sand beach at Matira Point, Bora Bora. The subject is a stunning young [TRIGGER YOUR MODEL] wearing an extremely skimpy black bikini with thin spaghetti straps and minimal coverage over her curves. Her smooth caramel skin practically glows in the tropical sun as she poses for the camera, holding it outstretched at arm's length to capture herself from above. Behind her, the crystal clear turquoise lagoon stretches out endlessly, meeting the horizon under a vibrant blue sky dotted with fluffy white clouds. A few swaying palm trees frame the scene on either side. She gazes directly into the lens with a confident smile and smoldering bedroom eyes, running one hand sensually through her blonde long hair which catches the light in glossy highlights. The beach is pristine, dotted with seashells and tropical foliage. In the background, a luxury resort complex blends seamlessly into the natural landscape of the island. Shot on iPhone 15 Pro Max main camera lens at 24mm equivalent focal length with ƒ/1.78 aperture for that signature Instagram shallow depth of field blur in the foreground while keeping her body and the stunning beach backdrop tack-sharp, realistic smartphone photography style with natural iPhone HDR processing to bring out every detail." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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