Instructions to use cutecaption/ultrainstaZ_mixednoisinghighbias with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutecaption/ultrainstaZ_mixednoisinghighbias 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("cutecaption/ultrainstaZ_mixednoisinghighbias") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ultra Insta Z-Image

- Prompt
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- Prompt
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- Prompt
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Trigger words
You should use 1NST4GR4M to trigger the image generation.
You should use OnlyFans Style to trigger the image generation.
You should use Instagram Style Selfie to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for cutecaption/ultrainstaZ_mixednoisinghighbias
Base model
Tongyi-MAI/Z-Image-Turbo