🎯 Bring ultimate sophistication to your generations with HighFashionXL, a premium LoRA designed to capture the essence of haute couture, luxury, and effortless elegance. ✨ What This LoRA Does Best: The Signature Look: Perfectly renders an all-AI model exuding poise and class, styled in stunning, high-end designer dresses. The Classy Touch: Highly optimized to naturally include elegant props like a wine glass, making it ideal for gala, lounge, or high-society aesthetics. Premium Quality: Enhances textures, fabric drapes, lighting, and sophisticated poses without distorting your base model's face. 🎯 Trigger &amp; Prompting Tips: To get the best results, try incorporating these keywords into your prompt: high fashion, classy woman, elegant dress, holding a wine glass, luxury aesthetic, detailed fabric Drop your generations in the gallery below—I'd love to see what you create! FLUX IMPORTANT: Use 0.4-0.6 Strength or results will be over baked heavily!! Flux 1 &amp; 2 : Sampler: DPM 2 Ancestral CFG: 6.0 Steps: 20 Clip Skip: 2SDXL:Sampler: EulerCFG: 7Steps: 28-32Clip Skip: 2Qwen:CFG: 6.5Steps: 30-35Clip Skip: 2Upscaler: ESRGAN<h2 id="deploy-this-model-and-much-more:">Deploy this Model and much more:</h2><h3 id="runpod">Runpod</h3><h3 id="https:runpod.ioref1jcw9158"><a target="_blank" rel="ugc" href="https://runpod.io?ref=1jcw9158">https://runpod.io?ref=1jcw9158</a></h3><h2 id="generate-4k-images-and-train-lora's">Generate 4K images and train Lora's</h2><h3 id="run-diffusion">Run Diffusion</h3><h3 id="https:app.rundiffusion.comreferralcode63656285-d822-4b1e-9858-a7bb6c596d77"><a target="_blank" rel="ugc" href="https://app.rundiffusion.com/?referralCode=63656285-d822-4b1e-9858-a7bb6c596d77">https://app.rundiffusion.com/?referralCode=63656285-d822-4b1e-9858-a7bb6c596d77</a></h3><h2 id="krea-2-raw-and-other-premium-versions-of-this-model:">Krea 2 Raw &amp; Other Premium Versions of this model:</h2><h3 id="https:www.patreon.comtensorvizionpostshighfashion-krea-167277892"><a target="_blank" rel="ugc" href="https://www.patreon.com/TensorVizion/posts/highfashion-krea-167277892">https://www.patreon.com/TensorVizion/posts/highfashion-krea-167277892</a></h3><h3 id="generative-ai-workflows-and-resources:">Generative AI Workflows &amp; Resources:</h3><h3 id="https:www.kofi.comtensorvizion"><a target="_blank" rel="ugc" href="https://www.kofi.com/tensorvizion">https://www.kofi.com/tensorvizion</a></h3><h3> </h3>

HighFashionXL

Trained on Z-Image

HighFashion-Z-Image-Base_c1-st4000.safetensors

Z-Image

Qwen-Image

Flux.2

Flux.1-Kontext-Dev

SDXL


# 

## Model Introduction

This model is trained using the [Civision/model training](https://modelscope.ai/civision/modelTraining) environment and computing resources provided by ModelScope.

* Model Type: LoRA
* Base Model: [Tongyi-MAI/Z-Image](https://modelscope.ai/models/Tongyi-MAI/Z-Image)
* Training Code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Data amount：28
* Total training steps：4000
* License: Apache-2.0

## Inference Code

Install [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio):

```bash
pip install diffsynth
```

Inference:

```python
from diffsynth.pipelines.z_image import ZImagePipeline, ModelConfig
import torch

pipe = ZImagePipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="Tongyi-MAI/Z-Image", origin_file_pattern="transformer/*.safetensors"),
        ModelConfig(model_id="Tongyi-MAI/Z-Image", origin_file_pattern="text_encoder/*.safetensors"),
        ModelConfig(model_id="Tongyi-MAI/Z-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
    ],
    tokenizer_config=ModelConfig(model_id="Tongyi-MAI/Z-Image", origin_file_pattern="tokenizer/"),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="tensorvizion/HighFashion-Z-Image-Base", origin_file_pattern="HighFashion-Z-Image-Base_c1-st4000.safetensors"))
prompt = "a cat"
image = pipe(prompt=prompt, num_inference_steps=50, cfg_scale=4)
image.save("image.jpg")
```


Files with SHA256: 5d96b04fc72812e5e022e5eac6a35bbb120302d154f7ef4e34cc62718f9748b9