Overview

Realistic Vision V5.1 (noVAE) is a fine-tuned Stable Diffusion checkpoint optimized specifically for photorealism. Unlike base models that often struggle with 'plastic' skin textures or anatomical inconsistencies, this version excels at rendering high-fidelity human portraits, architectural photography, and cinematic lighting. The 'noVAE' designation means the Variational Autoencoder is not baked into the model file, giving developers more flexibility to swap VAEs to manage color saturation and image clarity based on their specific pipeline needs. It is an ideal choice for integrating realistic asset generation into apps, game development, or synthetic dataset creation where visual authenticity is prioritized over stylized art.

Highlights

High-fidelity photorealism for human and architectural rendering
Optimized for cinematic lighting and skin texture accuracy
External VAE support for precise color and clarity control
Compatible with standard Stable Diffusion integration workflows
Ideal for synthetic data and professional asset generation

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/Realistic_Vision_V5.1_noVAE")
tokenizer = AutoTokenizer.from_pretrained("SG161222/Realistic_Vision_V5.1_noVAE")

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/Realistic_Vision_V5.1_noVAE

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

huggingface-cli download SG161222/Realistic_Vision_V5.1_noVAE 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/Realistic_Vision_V5.1_noVAE')

Git Download

Make sure git-lfs is installed first

Git Download

git lfs install
git clone https://huggingface.co/SG161222/Realistic_Vision_V5.1_noVAE

To skip LFS large-file downloads, use:

Skip LFS

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/SG161222/Realistic_Vision_V5.1_noVAE

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/Realistic_Vision_V5.1_noVAE')
tokenizer = AutoTokenizer.from_pretrained('SG161222/Realistic_Vision_V5.1_noVAE')

Full Documentation

来源: HuggingFace

---
license: creativeml-openrail-m
---
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Please read this! 
For version 5.1 it is recommended to use with VAE (to improve generation quality and get rid of artifacts): https://huggingface.co/stabilityai/sd-vae-ft-mse-original

<hr/>

The recommended negative prompt:

(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck

OR

(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, disgusting, amputation

Euler A or DPM++ 2M Karras 
CFG Scale 3,5 - 7 
Hires. fix with 4x-UltraSharp upscaler 
0 Hires steps and Denoising strength 0.25-0.7 
Upscale by 1.1-2.0

Realistic Vision V5.1 noVAE

Overview

Highlights

Usage

Hugging Face Download

CLI Download

SDK Download

Git Download

PyTorch / Transformers Usage

Full Documentation