metadata
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
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!")