z-image-turbo loras
Collection
9 items β’ Updated
LoRA adapter trained for the concept/material look "latex" (glossy, reflective latex texture).
Use this token in your prompt:
latex*.safetensors β LoRA weightsconfig.yaml / .job_config.json β training configurationlog.txt β training log.safetensors file into your LoRA folder.latex, editorial fashion photo, studio lighting, high detail, sharp focuslatex, glossy jacket, urban night street photo, neon reflections(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 repo + filename:
pipe.load_lora_weights("thorjank/<REPO_NAME>", weight_name="<YOUR_LORA_FILENAME>.safetensors")
prompt = "latex, editorial fashion photo, studio lighting, high detail"
image = pipe(prompt).images[0]
image.save("out.png")
Base model
Tongyi-MAI/Z-Image-Turbo