Overview

RealVisXL V5.0 is a specialized fine-tune of SDXL designed for developers and creators prioritizing photorealism over stylized art. Unlike base models that often struggle with skin textures and lighting physics, V5.0 optimizes for high-fidelity human anatomy and environmental accuracy. It is particularly effective for generating synthetic datasets, architectural visualizations, and e-commerce assets where visual authenticity is critical. Integration is straightforward via standard Diffusers pipelines or ComfyUI workflows, maintaining compatibility with existing SDXL LoRAs and ControlNets. Compared to previous iterations, V5.0 demonstrates improved prompt adherence and a significant reduction in common anatomical artifacts, making it a reliable engine for production-grade image generation.

Highlights

High-fidelity photorealism with optimized skin and lighting textures
Full compatibility with SDXL ecosystem and ControlNet
Reduced anatomical artifacts compared to earlier versions
Ideal for synthetic data and architectural visualization
OpenRail++ license for flexible deployment

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("SG161222/RealVisXL_V5.0")
tokenizer = AutoTokenizer.from_pretrained("SG161222/RealVisXL_V5.0")

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

huggingface-cli download SG161222/RealVisXL_V5.0

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

huggingface-cli download SG161222/RealVisXL_V5.0 config.json --local-dir ./dir

See the official docs for more CLI options

SDK Download

# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('SG161222/RealVisXL_V5.0')

Git Download

Make sure git-lfs is installed first

Git Download

git lfs install
git clone https://huggingface.co/SG161222/RealVisXL_V5.0

To skip LFS large-file downloads, use:

Skip LFS

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/SG161222/RealVisXL_V5.0

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

pip install -U transformers torch

Load the model and run inference

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('SG161222/RealVisXL_V5.0')
tokenizer = AutoTokenizer.from_pretrained('SG161222/RealVisXL_V5.0')

Full Documentation

来源: HuggingFace

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license: openrail++
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This model is available on <a href="https://www.mage.space/">Mage.Space</a> (main sponsor) 
You can support me directly on Boosty - https://boosty.to/sg_161222

The model is aimed at photorealism. Can produce sfw and nsfw images of decent quality. 
CivitAI Page: https://civitai.com/models/139562?modelVersionId=789646

Recommended Negative Prompt: 
bad hands, bad anatomy, ugly, deformed, (face asymmetry, eyes asymmetry, deformed eyes, deformed mouth, open mouth) 
or another negative prompt

Recommended Generation Parameters: 
Sampling Method: DPM++ SDE Karras (30+ Sampling Steps) or DPM++ 2M Karras (50+ Sampling Steps)

Recommended Hires Fix Parameters: 
Hires Sampling Method: DPM++ 2M Karras 
Hires steps: 25+ 
Upscaler: 4x-NMKD-Superscale-SP_178000_G / 4x-UltraSharp upscaler / or another 
Denoising strength: 0.1 - 0.3 
Upscale by: 1.1-1.5