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  ---
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  license: apache-2.0
 
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  tags:
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  - lora
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- - virtual-try-on
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- - diffusion
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  - text-to-image
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- - fabric-generation
 
 
 
 
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  base_model: stabilityai/stable-diffusion-xl-base-1.0
 
 
 
 
 
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  ---
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- # Virtual Try-On LoRA - Pattern2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- This is a LoRA (Low-Rank Adaptation) model trained for virtual try-on fabric generation.
 
 
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- ## Model Details
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- - **Fabric Type**: pattern2
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- - **Base Model**: Stable Diffusion XL
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- - **Training Checkpoints**: 1 checkpoint(s)
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- - **Model Type**: LoRA weights
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- ## Usage
 
 
 
 
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  ```python
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  from diffusers import DiffusionPipeline
@@ -29,25 +70,209 @@ import torch
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  # Load base model
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  pipe = DiffusionPipeline.from_pretrained(
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  "stabilityai/stable-diffusion-xl-base-1.0",
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- torch_dtype=torch.float16
 
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  )
 
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  # Load LoRA weights
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- pipe.load_lora_weights("zyuzuguldu/vton-lora-pattern2", weight_name="pytorch_lora_weights.safetensors")
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- pipe.to("cuda")
 
 
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  # Generate image
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- prompt = "a garment with pattern2 fabric texture"
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- image = pipe(prompt).images[0]
 
 
 
 
 
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  image.save("output.png")
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  ```
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- ## Training Info
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- This model was trained as part of a Virtual Try-On system to generate realistic fabric textures
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- for garment visualization.
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- ## Files
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- - `pytorch_lora_weights.safetensors`: The main LoRA weights
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- - Additional training artifacts may be included depending on upload settings
 
1
  ---
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  license: apache-2.0
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+ library_name: diffusers
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  tags:
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  - lora
 
 
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  - text-to-image
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+ - diffusers
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+ - virtual-try-on
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+ - fashion
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+ - fabric-texture
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+ - pattern2
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  base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: a garment with pattern2 fabric texture
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+ widget:
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+ - text: "a garment with pattern2 fabric texture"
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+ output:
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+ url: "placeholder.png"
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  ---
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+ # Virtual Try-On LoRA: Pattern2
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+
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+ <div align="center">
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+ <img src="https://img.shields.io/badge/Type-LoRA-blue" alt="Type">
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+ <img src="https://img.shields.io/badge/Fabric-Pattern2-purple" alt="Fabric">
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+ <img src="https://img.shields.io/badge/Base-SDXL-green" alt="Base Model">
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+ <img src="https://img.shields.io/badge/License-Apache%202.0-yellow" alt="License">
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+ </div>
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+
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+ ## 📋 Model Description
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+
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+ This is a **LoRA (Low-Rank Adaptation)** model fine-tuned for generating realistic **Pattern2** fabric textures in virtual try-on applications. The model has been trained on high-quality pattern2 texture images to capture the unique characteristics of this fabric type.
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+
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+ ### Key Features
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+
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+ - 🎨 **Specialized for Pattern2**: Captures authentic fabric texture and appearance
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+ - 🚀 **Lightweight**: Only 3.1 MB - efficient for deployment
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+ - 🎯 **SDXL-based**: Built on Stable Diffusion XL for high-quality generation
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+ - 👔 **Virtual Try-On Ready**: Designed for fashion and garment visualization
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+ - ⚡ **Fast Inference**: LoRA architecture enables quick generation
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+
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+ ## 🎯 Intended Use
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+
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+ ### Primary Use Cases
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+
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+ 1. **Virtual Try-On Systems**: Apply pattern2 textures to garment designs
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+ 2. **Fashion Design**: Visualize how garments look with pattern2 fabric
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+ 3. **E-commerce**: Generate product images with different fabric textures
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+ 4. **Style Transfer**: Transfer pattern2 texture to existing garment images
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+
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+ ### Out of Scope
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+ - General-purpose image generation
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+ - Non-fabric texture generation
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+ - Photo-realistic face generation
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+ ## 🚀 Quick Start
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+ ### Installation
 
 
 
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+ ```bash
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+ pip install diffusers transformers accelerate safetensors
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+ ```
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+
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+ ### Basic Usage
65
 
66
  ```python
67
  from diffusers import DiffusionPipeline
 
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  # Load base model
71
  pipe = DiffusionPipeline.from_pretrained(
72
  "stabilityai/stable-diffusion-xl-base-1.0",
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+ torch_dtype=torch.float16,
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+ variant="fp16"
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  )
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+ pipe.to("cuda")
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  # Load LoRA weights
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+ pipe.load_lora_weights(
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+ "zyuzuguldu/vton-lora-pattern2",
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+ weight_name="pytorch_lora_weights.safetensors"
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+ )
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84
  # Generate image
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+ prompt = "a garment with pattern2 fabric texture, high quality, detailed"
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+ image = pipe(
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+ prompt,
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+ num_inference_steps=30,
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+ guidance_scale=7.5
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+ ).images[0]
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+
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  image.save("output.png")
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  ```
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+ ### Advanced Usage with Multiple LoRAs
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+
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+ ```python
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+ from diffusers import DiffusionPipeline
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+ import torch
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+
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+ pipe = DiffusionPipeline.from_pretrained(
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+ "stabilityai/stable-diffusion-xl-base-1.0",
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+ torch_dtype=torch.float16
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+ ).to("cuda")
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+
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+ # Load with custom weight
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+ pipe.load_lora_weights(
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+ "zyuzuguldu/vton-lora-pattern2",
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+ weight_name="pytorch_lora_weights.safetensors",
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+ adapter_name="pattern2"
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+ )
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+
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+ # Set LoRA scale (0.0 to 1.0)
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+ pipe.set_adapters(["pattern2"], adapter_weights=[0.8])
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+
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+ # Generate
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+ prompt = "a stylish jacket with pattern2 texture, fashion photography"
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+ negative_prompt = "blurry, low quality, distorted"
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+
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+ image = pipe(
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+ prompt,
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+ negative_prompt=negative_prompt,
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+ num_inference_steps=40,
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+ guidance_scale=8.0
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+ ).images[0]
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+
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+ image.save("styled_garment.png")
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+ ```
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+
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+ ### Using with Virtual Try-On Pipeline
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+
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+ ```python
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+ from diffusers import StableDiffusionXLInpaintPipeline
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+ import torch
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+
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+ # Load inpainting pipeline for try-on
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+ pipe = StableDiffusionXLInpaintPipeline.from_pretrained(
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+ "stabilityai/stable-diffusion-xl-base-1.0",
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+ torch_dtype=torch.float16
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+ ).to("cuda")
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+
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+ # Load LoRA
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+ pipe.load_lora_weights("zyuzuguldu/vton-lora-pattern2")
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+
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+ # Apply texture to masked garment area
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+ result = pipe(
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+ prompt="garment with pattern2 fabric",
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+ image=original_image,
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+ mask_image=garment_mask,
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+ num_inference_steps=30
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+ ).images[0]
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+ ```
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+
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+ ## 📊 Training Details
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+
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+ ### Training Data
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+
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+ - **Dataset**: [lora-garment-textures](https://huggingface.co/datasets/zyuzuguldu/lora-garment-textures)
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+ - **Category**: Pattern2
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+ - **Images**: High-resolution pattern2 fabric texture samples
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+ - **Resolution**: Variable (resized to 1024x1024 for training)
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+
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+ ### Training Configuration
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+
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+ - **Base Model**: Stable Diffusion XL 1.0
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+ - **LoRA Rank**: 15
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+ - **Training Framework**: Diffusers + PEFT
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+ - **Optimizer**: AdamW
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+ - **Training Steps**: ~2000-8000 (varied by category)
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+ - **Hardware**: GPU-accelerated training
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+
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+ ### Hyperparameters
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+
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+ ```yaml
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+ learning_rate: 1e-4
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+ lora_rank: 15
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+ lora_alpha: 15
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+ batch_size: 4
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+ resolution: 1024x1024
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+ mixed_precision: fp16
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+ gradient_accumulation_steps: 4
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+ ```
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+
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+ ## 📁 Model Files
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+
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+ - **pytorch_lora_weights.safetensors** (3.1 MB): Main LoRA weights in SafeTensors format
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+
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+ ## 🎨 Prompt Engineering Tips
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+
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+ ### Recommended Prompts
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+
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+ ```
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+ "a garment with pattern2 fabric texture, high quality, detailed"
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+ "stylish clothing made of pattern2 material, professional photography"
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+ "fashion design with pattern2 texture, studio lighting"
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+ "pattern2 fabric garment, detailed texture, 4k quality"
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+ ```
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+
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+ ### Negative Prompts
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+
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+ ```
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+ "blurry, low quality, distorted, unrealistic, artificial"
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+ "pixelated, noisy, artifacts, bad texture"
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+ ```
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+
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+ ### Tips
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+
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+ 1. **Texture Keywords**: Include words like "fabric", "texture", "material" for best results
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+ 2. **Quality Modifiers**: Add "high quality", "detailed", "4k" for better outputs
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+ 3. **LoRA Weight**: Adjust between 0.6-1.0 for strength control
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+ 4. **Inference Steps**: Use 30-50 steps for balanced quality/speed
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+ 5. **Guidance Scale**: 7.0-8.5 works well for most prompts
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+
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+ ## ⚖️ Limitations and Bias
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+
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+ ### Limitations
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+
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+ - Optimized specifically for pattern2 textures
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+ - May not generalize well to other fabric types
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+ - Requires SDXL base model for best results
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+ - Performance depends on prompt quality
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+
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+ ### Potential Biases
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+
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+ - Training data may reflect specific regional or cultural fabric styles
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+ - May perform better on certain garment types seen during training
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+
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+ ## 📝 License
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+
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+ This model is released under the **Apache 2.0 License**.
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+
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+ - Free for commercial and non-commercial use
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+ - Requires attribution to the original authors
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+ - No warranty provided
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+
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+ ## 🔗 Related Resources
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+
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+ ### Models
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+ - **Base Model**: [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
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+ - **Other Textures**: [vton-lora-denim](https://huggingface.co/zyuzuguldu/vton-lora-denim), [vton-lora-linen](https://huggingface.co/zyuzuguldu/vton-lora-linen)
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+ - **Segmentation Model**: [garment-segmentation-unet-resnet50](https://huggingface.co/zyuzuguldu/garment-segmentation-unet-resnet50)
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+
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+ ### Datasets
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+ - **Training Data**: [lora-garment-textures](https://huggingface.co/datasets/zyuzuguldu/lora-garment-textures)
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+ - **Masks Dataset**: [deepfashion2-upper-body-masks](https://huggingface.co/datasets/zyuzuguldu/deepfashion2-upper-body-masks)
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+
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+ ### Demos
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+ - **Try It Out**: [garment-segmentation](https://huggingface.co/spaces/zyuzuguldu/garment-segmentation)
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+
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+ ## 📚 Citation
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+
252
+ If you use this model in your research or project, please cite:
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+
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+ ```bibtex
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+ @misc{vton_lora_pattern2,
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+ author = {zyuzuguldu},
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+ title = {Virtual Try-On LoRA: Pattern2},
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+ year = {2026},
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+ publisher = {Hugging Face},
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+ howpublished = {\url{https://huggingface.co/zyuzuguldu/vton-lora-pattern2}}
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+ }
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+ ```
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+
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+ ## 🤝 Contributing
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+
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+ Found an issue or want to improve the model? Feel free to reach out or open a discussion!
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+
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+ ## 👨‍💻 Maintainer
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+
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+ Created and maintained by [@zyuzuguldu](https://huggingface.co/zyuzuguldu)
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+
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+ ---
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+ **Part of the Virtual Try-On Project**
 
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+ Repository: [Virtual-Try-On](https://github.com/zyuzuguldu/Virtual-Try-On)
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+ **Made with ❤️ for the fashion-tech and AI community**