Open-source Omnigen XL text-to-image model - Free to generate ultra-realistic high-quality portrait and scene images

Omnigen Xl

Developed by stablediffusionapi

Omnigen XL is a hyper-realistic text-to-image model based on Stable Diffusion technology, capable of generating high-quality, detail-rich images, especially skilled in portrait and scene rendering.

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

Downloads 15.14k

Release Time : 12/11/2023

Model Overview

Omnigen XL is a model focused on hyper-realistic image generation, supporting the creation of high-resolution, detail-rich images through text prompts, suitable for various scenarios such as artistic creation and design assistance.

Model Features

Hyper-realistic image generation

Capable of generating highly detailed and realistic images, especially skilled in portrait and scene rendering.

High-resolution support

Supports generating 8K resolution images to meet high-quality output requirements.

Cinematic lighting effects

Generated images feature cinematic lighting and color effects, enhancing visual impact.

Multilingual prompt support

Supports text prompts in multiple languages including Chinese, making it convenient for non-English users.

Model Capabilities

Text-to-image generation

Hyper-realistic portrait generation

Scene rendering

High-resolution image output

Use Cases

Artistic creation

Portrait generation

Generate hyper-realistic portraits for artistic creation and design reference.

Highly detailed, lifelike portrait images.

Scene design

Generate complex scene images such as cyberpunk cities or fantasy worlds.

Scene images with cinematic lighting and rich details.

Design assistance

Concept design

Quickly generate design concept images to assist designers in creative brainstorming.

Diverse design concept images.

🚀 Omnigen XL API Inference

The Omnigen XL API enables text - to - image generation, offering ultra - realistic results. It's a powerful tool for creating high - quality images based on text prompts.

generated from modelslab.com

🚀 Quick Start

Get API Key

Get an API key from ModelsLab, and no payment is needed. Replace the key in the following code and change the model_id to "omnigen-xl".

If you're coding in PHP, Node, Java, etc., check out the docs for more code examples: View docs

💻 Usage Examples

Basic Usage

import requests  
import json  

url =  "https://stablediffusionapi.com/api/v4/dreambooth"  

payload = json.dumps({  
"key":  "your_api_key",  
"model_id":  "omnigen-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)

⚠️ Important Note

Use this coupon code to get 25% off DMGG0RBN

📄 License

The model uses the creativeml - openrail - m license.

Property	Details
Model Type	Omnigen XL API for text - to - image generation
Tags	stablediffusionapi.com, stable - diffusion - api, text - to - image, ultra - realistic

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