Realistic Vision V1.3 Open-Source Image Generation Model - Freely Generate High-Quality Surreal-Style Images

Realistic Vision V13

Developed by stablediffusionapi

Realistic Vision V1.3 is a text-to-image generation model based on Stable Diffusion, specializing in creating hyper-realistic high-quality images.

Image Generation Open Source License:Openrail #Hyper-realistic portrait generation #8K ultra-high definition #Artistic style fusion

Downloads 35

Release Time : 2/1/2023

Model Overview

This model can generate highly realistic images from text prompts, particularly excelling in portrait creation and artistic style rendering.

Model Features

Hyper-realistic style

Capable of generating high-quality images with hyper-realistic artistic styles

Precise control

Supports fine-tuned control over generation results through prompts and negative prompts

High-quality output

Can generate ultra-high-definition 8K resolution images with rich details

Model Capabilities

Text-to-image generation

Artistic style transfer

High-resolution image generation

Portrait generation

Use Cases

Artistic creation

Portrait creation

Generate portraits in various styles based on text descriptions

Produces high-quality portrait images with diverse artistic styles

Concept design

Character design

Create character concept art for games, films, etc.

Quickly generates diverse character design solutions

🚀 API Inference

This project provides an API for text - to - image generation, enabling users to generate ultra - realistic images based on text prompts.

🚀 Quick Start

Get API Key

Get an API key from Stable Diffusion API, and no payment is needed. Replace the key in the following code and change the model_id to "realistic-vision-v13".

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

Model link: View model Credits: View credits View all models: View Models

💻 Usage Examples

Basic Usage

import requests
import json

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

payload = json.dumps({
    "key": "Your_API_key",
    "model_id": "realistic-vision-v13",
    "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)

💡 Usage Tip

Use this coupon code to get 25% off: DMGG0RBN

📄 License

The project uses the creativeml-openrail-m license.

generated from stablediffusionapi.com

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