Realism_Stable_Yogi_xl Open-Source Text-to-Image Generation Model - Free to Generate High-Quality Realistic Images

Realism Stable Yogi Xl

Developed by stablediffusionapi

Realism_Stable_Yogi_xl is a hyper-realistic style text-to-image model based on Stable Diffusion, capable of generating high-quality realistic-style images from text prompts.

Image Generation Open Source License:Openrail #Hyper-realistic portraits #Cyberpunk style #Cinematic lighting

Downloads 11.86k

Release Time : 12/13/2024

Model Overview

This model specializes in generating hyper-realistic style images, particularly suitable for portrait and scene rendering, supporting complex detail descriptions and style control.

Model Features

Hyper-realistic style

Capable of generating highly realistic images, especially suitable for portrait and scene rendering.

Complex detail handling

Supports fine control over image details such as lighting, materials, and composition.

Multilingual support

Supports text prompts in multiple languages including Chinese.

API integration

Provides easy-to-integrate API services for developer convenience.

Model Capabilities

Text-to-image

Hyper-realistic style rendering

Portrait generation

Scene generation

Use Cases

Artistic creation

Portrait generation

Generate hyper-realistic portraits based on text descriptions.

Highly lifelike character images with rich details.

Scene design

Generate complex scene images such as urban landscapes or interior designs.

Realistic scene renderings suitable for concept design and previews.

Commercial applications

Advertisement design

Quickly generate visual materials needed for advertisements.

High-quality advertisement images that save design time.

🚀 API Inference

Generate ultra - realistic text - to - image results using the Stable Diffusion API from modelslab.com

generated from modelslab.com

🚀 Quick Start

✨ Features

Generate ultra - realistic text - to - image results.
Free API key available.
Support multiple programming languages.

📦 Installation

No specific installation steps are required. Just get the API key and start using it.

💻 Usage Examples

Basic Usage

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

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":  "Realism_Stable_Yogi_xl",  
"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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