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("Xiaolong263/z-Image-lora")
prompt = "Preview image for MIDJ_ZIB"
image = pipe(prompt).images[0]z-Image-lora
- Prompt
- Preview image for MIDJ_ZIB
- Prompt
- Preview image for RadianceChromeVoluptuous z-image v1.0
Model description
This repository contains z-Image LoRA model files and preview images.
Files
- Z-Image/ contains the main z-Image model files
- Z-Image-Turbo/ contains the z-Image-Turbo model files
- Images/ contains preview images used by the model card
Download model
Download the model files from the Files & versions tab.
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Model tree for Xiaolong263/z-Image-lora
Base model
Tongyi-MAI/Z-Image-Turbo