Instructions to use AIImageStudio/RadianceChromeVoluptuous_z_image_v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIImageStudio/RadianceChromeVoluptuous_z_image_v1.0 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("AIImageStudio/RadianceChromeVoluptuous_z_image_v1.0") prompt = "grok film style, lighting and shadow effects, color cast, wrong white balance, expired film, A young East Asian woman, standing in a kitchen, one arm raised overhead with a floral sheer robe draped over her shoulders, the other hand holding a white cup, smiling directly at the camera with bright, engaging eyes, lips slightly parted in a cheerful, seductive grin, full breasts visible beneath a red and white plaid bikini top, cleavage prominent, slim waist, hips slightly rounded, legs straight and bare, feet positioned shoulder-width apart, body angled slightly to the side, bikini bottom with ties at the sides, sheer floral robe made of lightweight translucent fabric, no jewelry or accessories visible, background featuring white cabinets, stainless steel appliances, a table with a white tablecloth and food, a white chair with metal legs, colorful storage bins in red, yellow, and blue, overhead lighting with frosted globe lamps casting soft, warm illumination, dramatic shadows accentuating the figure, cinematic atmosphere with warm, golden lighting, camera angle at eye level, medium shot capturing full body and upper legs, composition balanced with subject centered, color tone dominated by red, white, and soft blue." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K