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metadata
base_model: Tongyi-MAI/Z-Image-Turbo
tags:
  - lora
  - text-to-image
  - diffusion
  - z-image-turbo
  - fashion
license: other

latex_v1 — LoRA

LoRA adapter trained for the concept/material look "latex" (glossy, reflective latex texture).

Trigger word

Use this token in your prompt:

  • latex

Base model

  • Tongyi-MAI/Z-Image-Turbo

Files

  • *.safetensors — LoRA weights
  • config.yaml / .job_config.json — training configuration
  • (optional) log.txt — training log

How to use

A) ComfyUI / AUTOMATIC1111

  1. Put the .safetensors file into your LoRA folder.
  2. Prompt examples (safe / non-explicit):
    • latex, editorial fashion photo, studio lighting, high detail, sharp focus
    • latex, glossy jacket, urban night street photo, neon reflections

(Adjust LoRA strength to taste, e.g. 0.6–1.0.)

B) Diffusers (generic example)

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")