Flat 2d Animerge

🚀 flat-2d-animerge API Inference

This project provides an API for the flat-2d-animerge model, enabling text-to-image generation with high - quality and ultra - realistic results.

🚀 Quick Start

✨ Features

• Generate ultra - realistic images from text descriptions.
• Integrate easily with programming languages like PHP, Node, and Java.
• Free to try and get API keys without payment.

📦 Installation

There is no specific installation step for using the API. All you need is to get an API key and make requests to the specified API endpoint.

💻 Usage Examples

Basic Usage

First, you need to get an API key from ModelsLab. Then, replace "your_api_key" in the following code with your actual API key and set "model_id" to "flat-2d-animerge".

import requests  
import json  

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

payload = json.dumps({  
    "key":  "your_api_key",  
    "model_id":  "flat-2d-animerge",  
    "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)

📚 Documentation

• If you are coding in PHP/Node/Java etc, have a look at more code examples in the docs: View docs.
• Try the model for free: Generate Images.
• View the model details: View model.
• Check the credits: View credits.
• View all models: View Models.

📄 License

The license for this project is creativeml-openrail-m.

⚠️ Important Note

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