Instructions to use Onise/z-image-emmawatson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Onise/z-image-emmawatson 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("Onise/z-image-emmawatson") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
vrtEmmaWatson
-ID.webp)
- Prompt
- -
Model description
From : https://huggingface.co/nphSi/Z-Image-Lora
Trigger words
You should use vrtEmmaWatson to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Onise/z-image-emmawatson
Base model
Tongyi-MAI/Z-Image