Instructions to use AIImageStudio/RadianceChromeVoluptuous_z_image_turbo_v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIImageStudio/RadianceChromeVoluptuous_z_image_turbo_v2.0 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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AIImageStudio/RadianceChromeVoluptuous_z_image_turbo_v2.0") prompt = "grok film style, lighting and shadow effects, color cast, wrong white balance, expired film, A young East Asian woman, standing in a doorway, back partially turned to camera, long wavy brown hair cascading over her shoulders, face in profile with gaze directed toward the right, lips slightly parted, subtle seductive expression, visible cleavage, breasts partially obscured by sheer black top, slim waist, wide hips, legs in black lace thigh-high stockings, one hand resting on a weathered red-framed price sign, other hand raised near shoulder, feet not visible, wearing a sheer black long-sleeved top with ruffled hem, yellow underwear visible beneath, black lace thigh-high stockings, background of green foliage and wooden fence with partial \"ALL VEH CHAIN RIGHT LAN\" sign, bright natural sunlight casting soft shadows, cinematic lighting with golden hour glow, shallow depth of field, medium close-up shot, composition centered on the figure with natural framing by doorway, dominant colors of black, yellow, and green." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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