z-image-turbo loras
Collection
9 items β’ Updated
β’ 1
LoRA adapter trained for the concept/style "alessia_valenti".
Use this token in your prompt:
alessia_valenti*.safetensors β LoRA weightsconfig.yaml β training configurationlog.txt β training log.safetensors file into your LoRA folder.alessia_valenti, italian woman in her 40s, business clothes, standing in front of a building, photo(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")
pipe.load_lora_weights("thorjank/alessia-valenti-lora", weight_name="<YOUR_LORA_FILENAME>.safetensors")
prompt = "alessia_valenti, italian woman in her 40s, business clothes, photo"
image = pipe(prompt).images[0]
image.save("out.png")
Base model
Tongyi-MAI/Z-Image-Turbo