Anything V5 Open-Source Image Generation Model - Freely Create Surreal-Style Anime Art Images

Anything V5

Developed by stablediffusionapi

Anything V5 is a text-to-image model based on Stable Diffusion, specializing in generating surreal anime and artistic images.

Image Generation Open Source License:Openrail #Anime Style Generation #High-Precision Portraits #Surreal Art

Downloads 4,663

Release Time : 4/23/2023

Model Overview

This model can generate high-quality anime-style images from text prompts, supporting multiple styles and detail control, suitable for artistic creation and design applications.

Model Features

Surreal Anime Style

Capable of generating highly detailed and artistic anime-style images, ideal for character design and concept art.

High-Quality Output

Supports 8K resolution image generation with rich details and vibrant colors.

Flexible Prompt Control

Precisely control the content and style of generated images through detailed text prompts and negative prompts.

Model Capabilities

Text-to-Image

Anime-Style Image Generation

Surreal Art Creation

Character Design

Use Cases

Artistic Creation

Character Portrait Generation

Generate uniquely styled anime character portraits for game and animation design.

High-quality 8K resolution images with rich details and vivid colors.

Concept Art

Quickly generate concept art images for preliminary design and inspiration.

Diverse styles and themes to meet various design needs.

Design Applications

Poster and Illustration Design

Generate unique illustrations and poster designs for commercial and entertainment purposes.

Professional-grade artwork ready for print and digital media.

🚀 Anything V5 API Inference

This project provides an API for the Anything V5 model, enabling text - to - image generation with ultra - realistic results.

generated from modelslab.com

🚀 Quick Start

Get API Key

Get an API key from ModelsLab, and no payment is needed. Replace the key in the following code and change the model_id to "anything-v5".

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/v3/dreambooth"  

payload = json.dumps({  
"key":  "",  
"model_id":  "anything-v5",  
"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 license for this project is creativeml-openrail-m.

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