Z Image Lora

ProvidernphSi
Categorytext-to-image
Licenseapache-2.0
Downloads216.5K
Stars0

Overview

Z Image LoRA is a lightweight adapter designed to refine text-to-image generation by introducing specific stylistic or structural constraints without the overhead of full model fine-tuning. For developers, this means a flexible way to steer output consistency across diverse prompts while maintaining a small memory footprint. It integrates seamlessly into existing Stable Diffusion pipelines, allowing for rapid iteration and deployment in applications requiring specialized visual aesthetics. Compared to base models, it offers more precise control over niche visual elements, making it ideal for asset generation pipelines where brand consistency or a specific artistic direction is critical.

Highlights

  • Lightweight adapter for precise stylistic control
  • Seamless integration with Stable Diffusion pipelines
  • Low memory overhead compared to full fine-tuning
  • Apache-2.0 license for flexible commercial deployment
  • Ensures high visual consistency across generated assets

Usage

Install
# Install Hugging Face transformers
pip install transformers torch
SDK Usage
# Load model with transformers
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("nphSi/Z-Image-Lora")
tokenizer = AutoTokenizer.from_pretrained("nphSi/Z-Image-Lora")

Hugging Face Download

We recommend downloading the model via the Hugging Face CLI or Hub SDK.

Guidance：Before downloading, install huggingface_hub with:

Guidance 
pip install -U huggingface_hub

CLI Download

Download the full repository

Download the full repository 
huggingface-cli download nphSi/Z-Image-Lora

Download a single file to a local folder (e.g. config.json into ./dir)

Download a single file to a local folder (e.g. config.json into ./dir) 
huggingface-cli download nphSi/Z-Image-Lora config.json --local-dir ./dir

See the official docs for more CLI options

SDK Download

SDK Download 
# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('nphSi/Z-Image-Lora')

Git Download

Make sure git-lfs is installed first

Git Download 
git lfs install
git clone https://huggingface.co/nphSi/Z-Image-Lora

To skip LFS large-file downloads, use:

Skip LFS 
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/nphSi/Z-Image-Lora

Model files are hosted on the Hugging Face Hub — download directly via HF CLI / SDK / Git, not through this site.

PyTorch / Transformers Usage

Install Transformers

Install Transformers 
pip install -U transformers torch

Load the model and run inference

Load the model and run inference 
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('nphSi/Z-Image-Lora')
tokenizer = AutoTokenizer.from_pretrained('nphSi/Z-Image-Lora')

Full Documentation

来源: HuggingFace

---
license: apache-2.0
tags:

  • text-to-image

  • lora

  • diffusers

  • safetensors

  • z-image

widget:
  • output:

url: ZI Alexandra Chando (vrtlAlexandraChando)-ID.webp
text: Alexandra Chando (vrtlAlexandraChando)
base_model:
  • Tongyi-MAI/Z-Image

  • Tongyi-MAI/Z-Image-Turbo

---

<a href="https://huggingface.co/spaces/nphSi/Lookalike-LoRA-Index">Lora-Index with direct Download, Preview and Infos</a>


<a href="https://huggingface.co/nphSi/Z-Image-Lora/discussions">Feedback, Help and Community discussions</a>




+ Always use full LoRa name with "vrtlxxxx" trigger in prompt like "Alba Baptista (vrtlalbabaptista) in a swimming pool". "Woman" or "1girl" will NOT work due to my way i do captions.

+ Add the gender to the prompt for confusing names like "Alex Jones".

+ Remove the name when internal model knowledge is bad or censored or is confusing to model like "Sandy Cheeks" or "Kate Middleton".

+ When using a Lora with multiple triggers (vrtlxx,vrtlyy) do not use the real character name but only trigger or a combination of it. "vrtlMain" always combines all trigger-words.

+ Previews made with settings: ZI Turbo Q8 / Euler / beta / 9 steps / CFG1 / auraflow 6

+ Prompt for Previews: First Last (vrtlLora), , beautifully done head, modern casual styled hair, wearing a top crop knotted beige unbuttoned shirt with green four leaf clover pattern that shows a deep and wide cleavage, a embroidered badge with the shape of a ladybug that absolutely must have the black letters "ZI" below on shirt right side, upper body portraiture, centered, frontal, eye contact, blank dark gray gradient background.



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