Deliberate V2

🚀 model_name API Inference

This project provides an API for model_name to generate text-to-image results, offering an ultra - realistic experience.

🚀 Quick Start

✨ Features

• Get an API key for free from ModelsLab API.
• Support multiple programming languages like PHP, Node, and Java.
• Generate ultra - realistic text - to - image results.

📦 Installation

There is no specific installation process for using the API. You just need to get the API key.

💻 Usage Examples

Basic Usage

Get API key from ModelsLab API, No Payment needed. Replace the key in the following code and change model_id to "deliberate - v2".

If you are coding in PHP/Node/Java etc, have a look at docs for more code examples: View docs.

Try the model for free: [Generate Images](https://modelslab.com/models/deliberate - v2).

Model link: [View model](https://modelslab.com/models/deliberate - v2).

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":  "deliberate-v2",  
"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 model uses the creativeml - openrail - m license.

⚠️ Important Note

Use this coupon code to get 25% off DMGG0RBN