sdvn5-3dcutewave Open-source Model - Achieve Text-to-Highly Realistic Image Conversion through API Inference

Sdvn5 3dcutewave

Developed by stablediffusionapi

The SDVN5-3DCuteWave API inference can assist in realizing the conversion from text to ultra-realistic images, bringing users a high-quality image generation experience.

Image Generation Open Source License:Openrail #Ultra-realistic 3D portraits #Cyberpunk style #Free API calls

Downloads 545

Release Time : 9/8/2023

Model Overview

This model focuses on text-to-image conversion and can generate ultra-realistic 3D-style images, which is particularly suitable for creating high-quality artworks and design materials.

Model Features

Ultra-realistic image generation

Can generate highly realistic 3D-style images based on text prompts

Free API access

Provides free API keys and can be used without payment

High-quality output

Supports the generation of 8K resolution images with rich details

Extensive parameter control

Provides various parameter adjustment options, such as guidance ratio, inference steps, etc.

Model Capabilities

Text-to-image conversion

High-resolution image generation

3D-style rendering

Art creation

Design material generation

Use Cases

Digital art creation

Character design

Create 3D-style character images for games or animations

Generate highly realistic character portraits

Concept art

Quickly generate design concept maps

Provide creative inspiration and visual references

Commercial applications

Advertising material generation

Create unique visual content for marketing campaigns

Quickly produce high-quality advertising images

🚀 SDVN5-3DCuteWave API Inference

This project provides an API for the SDVN5-3DCuteWave model, enabling text-to-image generation with an ultra - realistic style.

generated from modelslab.com

🚀 Quick Start

📦 Installation

Get an API key from ModelsLab. No payment is needed. Replace the key in the following code and change the model_id to "sdvn5-3dcutewave".

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

You can try the model for free: Generate Images.

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":  "sdvn5-3dcutewave",  
"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.

📋 Information Table

Property	Details
Model Type	SDVN5-3DCuteWave API for text-to-image generation
Tags	stablediffusionapi.com, stable-diffusion-api, text-to-image, ultra-realistic

💡 Usage Tip

💡 Usage Tip

Use the coupon code DMGG0RBN to get 25% off.

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