z-image-turbo loras
Collection
9 items β’ Updated
β’ 1
LoRA adapter trained for the concept/style "mia-urban".
Use this token in your prompt:
mia-urbanNote: Some prompts in the training config use
[mia urban](with a space). If you use bracket-style tokens, you can try bothmia-urbanand[mia urban]depending on your workflow.
*.safetensors β LoRA weightsconfig.yaml, job_config.json β training configurationlog.txt β training log.safetensors file into your LoRA folder.mia-urban, clean studio portrait, soft side lighting, sharp focus(Adjust LoRA strength to taste, e.g. 0.6β1.0.)
import torch
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained(
"Tongyi-MAI/Z-Image-Turbo",
torch_dtype=torch.bfloat16
).to("cuda")
# Replace with your actual filename:
pipe.load_lora_weights("thorjank/<REPO_NAME>", weight_name="<YOUR_LORA_FILENAME>.safetensors")
prompt = "mia-urban, clean studio portrait, soft side lighting, sharp focus"
image = pipe(prompt).images[0]
image.save("out.png")
Base model
Tongyi-MAI/Z-Image-Turbo