Realistic Vision V6.0 B1 Open-Source Image Generation Model - Freely Generate Ultra-Realistic Portraits and Scenes

Realisticvisionv60b1v60b1

Developed by stablediffusionapi

Realistic Vision V6.0 B1 is a hyper-realistic style text-to-image model based on Stable Diffusion, capable of generating highly lifelike portraits and scenes.

Image Generation Open Source License:Openrail #Hyper-realistic Portraits #Cyberpunk Style #Cinematic Lighting

Downloads 348

Release Time : 1/5/2024

Model Overview

This model specializes in generating hyper-realistic style images, particularly excelling in portraits, supporting high-resolution output and fine detail control.

Model Features

Hyper-realistic Style

Capable of generating highly lifelike portraits and scenes with rich details.

High-Resolution Support

Supports 8K resolution output, suitable for professional use.

Fine Control

Allows precise control over generation effects through detailed prompts and parameter settings.

Model Capabilities

Text-to-Image Generation

Hyper-realistic Image Generation

High-Resolution Image Output

Fine Detail Control

Use Cases

Art Creation

Portrait Creation

Generate highly realistic portraits for artistic creation or conceptual design.

Produces portrait images with professional photography quality.

Advertising & Design

Ad Material Generation

Quickly generate high-quality advertising materials, reducing shooting costs.

Generates realistic images that meet brand requirements.

🚀 RealisticVisionV60B1_v60B1VAE.safetensors API Inference

This project provides an API for text - to - image generation using the RealisticVisionV60B1_v60B1VAE.safetensors model, enabling users to generate ultra - realistic images.

generated from modelslab.com

🚀 Quick Start

✨ Features

It offers a text - to - image API service.
Allows users to generate ultra - realistic images.
Supports multiple programming languages for API calls.

📦 Installation

No specific installation steps are required. You only need to obtain an API key.

💻 Usage Examples

Basic Usage

Get API key from ModelsLab API, No Payment needed. Replace Key in below code, change model_id to "realisticvisionv60b1v60b1".

Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs

Try model for free: Generate Images

Model link: View model

View all models: View Models

import requests  
import json  

url =  "https://modelslab.com/api/v6/images/text2img"  

payload = json.dumps({  
"key":  "your_api_key",  
"model_id":  "realisticvisionv60b1v60b1",  
"prompt":  "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in - frame, 8K",  
"negative_prompt":  "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",  
"width":  "512",  
"height":  "512",  
"samples":  "1",  
"num_inference_steps":  "30",  
"safety_checker":  "no",  
"enhance_prompt":  "yes",  
"seed":  None,  
"guidance_scale":  7.5,  
"multi_lingual":  "no",  
"panorama":  "no",  
"self_attention":  "no",  
"upscale":  "no",  
"embeddings":  "embeddings_model_id",  
"lora":  "lora_model_id",  
"webhook":  None,  
"track_id":  None  
})  

headers =  {  
'Content-Type':  'application/json'  
}  

response = requests.request("POST", url, headers=headers, data=payload)  

print(response.text)

📄 License

The project uses the creativeml-openrail-m license.

💡 Usage Tip

Use this coupon code to get 25% off DMGG0RBN

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