Instructions to use AiAF/D-ART_Z-Image-Turbo_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/D-ART_Z-Image-Turbo_LoRA 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("AiAF/D-ART_Z-Image-Turbo_LoRA") prompt = "D-ART, D-ART Style, @18dart5, 18dart3, 18dart2, 18DART1, !!, ??, a confident, curvy young woman with fair skin and pink braided hair. She has a small, pointed nose, and a subtle smile, looking over her shoulder with a flirtatious expression. She is dressed in a white long-sleeve shirt, tight gray pants that accentuate her large, round buttocks, and brown shoes. Her arms are crossed under her chest, which is modest in size. The background is a dark purple with diagonal white stripes and small heart and star doodles, adding a playful touch. The image has a soft, slightly shaded style with smooth textures." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
20000 step version. previous was 10000
Browse files
D-ART_Z-Image-Turbo.safetensors
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