OpenVision Open Source Image Generation Model - Free to Incorporate Midjourney Style, Expert at Generating Portraits

Openvision

Developed by Corcelio

OpenVision is a stylistic upgrade model based on ProteusV0.4, integrating Midjourney's signature aesthetic style into generated images, with a particular strength in portrait generation.

Image Generation Open Source License:Apache-2.0 #Midjourney Aesthetics #High-Fidelity Portraits #8K Ultra-Detailed Rendering

Downloads 55

Release Time : 5/12/2024

Model Overview

A text-to-image model that embeds Midjourney aesthetics directly into the model, eliminating the need for manual adjustments and post-processing, producing images with rich expressiveness and sharp details.

Model Features

Midjourney-Style Aesthetics

Perfectly replicates Midjourney's iconic and captivating aesthetic style, maintaining rich expressiveness and sharp details.

Portrait Optimization

Excels in generating high-quality portraits, capturing subtle features and expressions with precision.

Decentralized Generation

All synthetic images are generated via the Bittensor network, supporting decentralized AI.

High-Resolution Support

Supports high-resolution output up to 1280x1280, enhancing aesthetic effects.

Model Capabilities

Text-to-Image Generation

Art Style Transfer

High-Resolution Image Generation

Portrait Generation

Use Cases

Creative Design

Concept Art Creation

Generate concept art for games, films, and other media.

Produces concept images with professional aesthetic styles.

Digital Art Generation

Create digital artworks in various styles.

Generates original artworks featuring Midjourney's aesthetic characteristics.

Commercial Applications

Advertising Material Generation

Quickly produce visual materials for advertisements.

High-quality images for commercial use.

Social Media Content

Create engaging visual content for social media.

Unique and stylish social media images.

🚀 OpenVision (v1): Midjourney Aesthetic for All Your Images

OpenVision is a style - enhanced version of ProteusV0.4. It can smoothly integrate the charming Midjourney aesthetic into every image you generate. It excels in achieving that indescribable style that Midjourney is famous for, while still maintaining a wide range and sharp details, especially in portraits. By directly embedding the Midjourney aesthetic into the model, OpenVision eliminates the need for manual adjustments or post - processing. All synthetic images were generated using the Bittensor Network. Bittensor aims to decentralize AI, and building state - of - the - art open - source models is crucial. OpenVision is a small step in our grand journey.

🚀 Quick Start

Gallery

The following are some examples of text - to - image generation: | Input Text | Output Image | | ---- | ---- | | a wolf hollowing at the moon | [wolf.png](wolf.png) | | a baseball bat on the beach | [baseball.png](baseball.png) | | space | [space.png](space.png) | | green dragon, flying, sky, yellow eyes, teeth, wings up, tail, horns, solo, clouds | [dragon.png](dragon.png) | | (impressionistic realism by csybgh), a 50 something male, working in banking, very short dyed dark curly balding hair, Afro - Asiatic ancestry, talks a lot but listens poorly, stuck in the past, wearing a suit, he has a certain charm, bronze skintone, sitting in a bar at night, he is smoking and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey ambiance, perfect hands AND fingers | [Afro - Asiatic.png](Afro - Asiatic.png) | | a cat wearing sunglasses in the summer | [sunglasses.png](sunglasses.png) | | close up portrait of an old woman | [oldwoman.png](oldwoman.png) | | fishing boat, bioluminescent sky | [boat.png](boat.png) |

✨ Features

Midjourney Aesthetic Integration: Incorporates the captivating Midjourney aesthetic into image generation.
Detail Preservation: Retains a good range and crisp details, especially in portraits.
Efficiency: Eliminates the need for manual adjustments or post - processing.

📦 Installation

No specific installation steps provided in the original document.

💻 Usage Examples

Basic Usage

import torch
from diffusers import (
    StableDiffusionXLPipeline, 
    AutoencoderKL
)

# Load VAE component
vae = AutoencoderKL.from_pretrained(
    "madebyollin/sdxl-vae-fp16-fix", 
    torch_dtype=torch.float16
)

# Configure the pipeline
pipe = StableDiffusionXLPipeline.from_pretrained(
    "Corcelio/openvision", 
    vae=vae,
    torch_dtype=torch.float16
)
pipe.to('cuda')

# Define prompts and generate image
prompt = "a cat wearing sunglasses in the summer"
negative_prompt = ""

image = pipe(
    prompt, 
    negative_prompt=negative_prompt, 
    width=1280,
    height=1280,
    guidance_scale=1.5,
    num_inference_steps=30
).images[0]

📚 Documentation

Optimal Settings

Property	Details
CFG	1.5 - 2
Sampler	Euler Ancestral
Steps	30 - 40
Resolution	1280x1280 (Aesthetic++) or 1024x1024 (Fidelity++)

📄 License

This project is licensed under the [Apache - 2.0 License](https://www.apache.org/licenses/LICENSE - 2.0).

🔧 Technical Details

No technical details provided in the original document.

📄 Credits

Made by Corcel [ https://corcel.io/ ]

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