z-image-turbo loras
Collection
9 items
•
Updated
LoRA adapter trained for the concept/style "sofia-russo".
Use this token in your prompt:
sofia-russoNote: Some workflows/tokenizers may also respond to
sofia russo(with a space). If the trigger doesn’t “bite”, try both variants.
*.safetensors — LoRA weightsconfig.yaml, job_config.json — training configurationlog.txt — training log.safetensors file into your LoRA folder.sofia-russo, outdoor golden hour portrait, natural warm sunlight, high detail(Adjust LoRA strength to taste, e.g. 0.6–1.0.)
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 = "sofia-russo, outdoor golden hour portrait, natural warm sunlight, high detail"
image = pipe(prompt).images[0]
image.save("out.png")
Base model
Tongyi-MAI/Z-Image-Turbo