Anything V3

🚀 Anything V3 API Inference

This project provides an API for the Anything V3 model, enabling text - to - image generation with ultra - realistic results.

🚀 Quick Start

✨ Features

• Integrates with the StableDiffusion API to generate high - quality text - to - image results.
• Supports multiple programming languages like PHP, Node, and Java.
• Allows users to generate ultra - realistic images with customizable parameters.

📦 Installation

There is no specific installation required for using the API. However, you need to obtain an API key from ModelsLab. No payment is needed.

💻 Usage Examples

Basic Usage

First, get an API key from ModelsLab. Then, replace the key field in the following code and set the model_id to "anything - v3".

import requests  
import json  

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

payload = json.dumps({  
"key":  "",  
"model_id":  "anything-v3",  
"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)

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

📚 Documentation

• Model link: View model

📄 License

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

⚠️ Important Note

Use this coupon code to get 25% off DMGG0RBN