Instructions to use Brioch/melanie_laurent_z-image-turbo_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Brioch/melanie_laurent_z-image-turbo_v1 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("Brioch/melanie_laurent_z-image-turbo_v1") prompt = "Portrait of mlrnt woman. She has a slight smile on her face. She is wearing a blue dress. Quality studio photography. Plain white background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Mélanie Laurent Z-Image-Turbo LoRA V1

- Prompt
- Portrait of mlrnt woman. She has a slight smile on her face. She is wearing a blue dress. Quality studio photography. Plain white background.
Trigger words
You should use mlrnt woman to trigger the image generation.
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Model tree for Brioch/melanie_laurent_z-image-turbo_v1
Base model
Tongyi-MAI/Z-Image-Turbo