---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
pipeline_tag: text-to-image
tags:
- stable-diffusion-xl
- sdxl
- text-to-image
- neuron-apple
- custom-bridge
- t4-optimized
- Neura-Tech-AI
- T2I
language:
- en
new_version: Neuron-AI-Labs/Neuron-Apple-V1.0
---

# Neuron Apple V1.0

> A high-fidelity, production-grade SDXL-based text-to-image pipeline developed by **Neura Tech AI**.

---

# Overview

**Neuron Apple** is a specialized text-to-image generation model built on top of **stabilityai/stable-diffusion-xl-base-1.0**. 

It integrates a custom **AppleConditioningBridge** (MLP/GELU based) to enhance text conditioning, typography alignment, and dynamic aspect ratio processing, optimized specifically for T4 hardware.

---

# Developer

**Developed by**
- Neura Tech AI

---

# Base Model

**Base Model**
- stabilityai/stable-diffusion-xl-base-1.0

We sincerely thank Stability AI for releasing the SDXL base model.

---

# Model Details

- **Model Name:** Neuron-Apple-Pro-XL
- **Developer:** Neura Tech AI
- **Base Model:** stabilityai/stable-diffusion-xl-base-1.0
- **Architecture:** SDXL UNet + Custom `AppleConditioningBridge`
- **Hardware Target:** T4 Optimized (Sequential CPU Offloading)
- **Key Features:** Dynamic Aspect Ratio Parsing (`--ar`), Enhanced Text Alignment, T4 VRAM Management
- **License:** OpenRAIL++

---

# Quick Usage

```python
import torch
from diffusers import StableDiffusionXLPipeline
from safetensors.torch import load_file

# Load base pipeline with CPU offloading for T4 stability
pipe = StableDiffusionXLPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float16,
    use_safetensors=True
)
pipe.enable_sequential_cpu_offload()

print("Neuron Apple Pro pipeline loaded successfully!")
```
# © 2026 Neura Tech AI. All rights reserved.