# Vector-art open-source vector art generation model - Free to create hyper-realistic vector images

Vector Art

Developed by stablediffusionapi

A vector art generation model based on Stable Diffusion, capable of creating hyper-realistic vector-style images

Image Generation Open Source License:Openrail #Hyper-realistic portrait generation #Anime style optimization #Negative prompt control

Downloads 85

Release Time : 3/3/2023

Model Overview

This model specializes in generating high-quality vector-style artistic images, particularly suitable for anime, illustrations, and concept art creation. Supports text-to-image inference via API calls.

Model Features

Hyper-realistic vector style

Capable of generating hyper-realistic images with vector art characteristics, especially suitable for anime and illustration styles

API integration

Provides simple and easy-to-use API interfaces for developers to integrate into various applications

Precise control

Supports precise control over generation effects through prompts and negative prompts

Model Capabilities

Text-to-image

Vector-style image generation

Anime style conversion

Portrait generation

Concept art creation

Use Cases

Digital art creation

Anime character design

Generate original character images with anime style

High-quality vector-style character images

Illustration creation

Automatically generate illustration works based on text descriptions

Stylistically consistent illustration works

Content creation

Social media content

Quickly generate visual content needed for social media

Eye-catching vector-style images

🚀 vector-art API Inference

This project provides an API for vector - art text - to - image generation, enabling users to generate ultra - realistic images.

🚀 Quick Start

✨ Features

Generate ultra - realistic text - to - image results.
Support multiple programming languages such as PHP, Node, and Java.
Free API key available.

📦 Installation

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

💻 Usage Examples

Basic Usage

First, get the API key from ModelsLab, no payment needed. Then replace the key in the following code and change the model_id to "vector - art".

If you are coding in PHP/Node/Java etc., refer to the docs for more code examples: View docs

Model link: View model

Credits: View credits

View all models: View Models

import requests  
import json  

url =  "https://stablediffusionapi.com/api/v3/dreambooth"  

payload = json.dumps({  
"key":  "",  
"model_id":  "vector-art",  
"prompt":  "actual 8K portrait photo of gareth person, portrait, happy colors, bright eyes, clear eyes, warm smile, smooth soft skin, big dreamy eyes, beautiful intricate colored hair, symmetrical, anime wide eyes, soft lighting, detailed face, by makoto shinkai, stanley artgerm lau, wlop, rossdraws, concept art, digital painting, looking into camera",  
"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

This project is licensed under the CreativeML OpenRAIL - M license.

⚠️ Important Note

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