Eachlabs | AI Workflows for app builders
realistic-vision-v6.0-b1

Realistic Vision

Realistic Vision generates lifelike images, ideal for creative and professional projects.

Avg Run Time: 10.000s

Model Slug: realistic-vision-v6-0-b1

Category: Text to Image

Input

Enter an URL or choose a file from your computer.

Enter an URL or choose a file from your computer.

Advanced Controls

Output

Example Result

Preview and download your result.

realistic-vision-v6.0-b1
The total cost depends on how long the model runs. It costs $0.001073 per second. Based on an average runtime of 10 seconds, each run costs about $0.0107. With a $1 budget, you can run the model around 93 times.

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

Realistic Vision V6.0 B1 represents a significant update in the Realistic Vision series, focusing on realism and photorealism. This beta version is part of a gradual release leading up to the full version. The model is optimized for various resolutions, enhancing its versatility in generating images ranging from face portraits to full-body compositions.

Technical Specifications

Model Version: 6.0 Beta 1

Base Model: Stable Diffusion 1.5

Supported Resolutions: Up to 896x896 for face portraits; higher resolutions for full-body images

Sampling Methods: DPM++ SDE Karras, DPM++ 2M SDE

Key Considerations

Content Generation: The model is capable of generating both SFW and NSFW content. Users should exercise discretion and comply with relevant guidelines and regulations when generating content.

Tips & Tricks

Prompt Crafting: Detailed and specific prompts yield better results. Including descriptive terms can guide the model to produce more accurate images.

Negative Prompts: Utilize negative prompts to exclude unwanted elements from the generated images, enhancing overall quality.

Experimentation: Adjusting parameters such as sampling steps, denoising strength, and upscaling factors can lead to varied and improved outputs. Experiment to find the optimal settings for your specific use case.

Capabilities

Photorealistic Image Generation:
Generates highly realistic images, suitable for professional and creative purposes.

Wide Range of Subjects:
Capable of producing images of human faces, full-body compositions, objects, and complex scenes.

High Customizability:
Allows users to fine-tune prompts, resolutions, sampling methods, and negative prompts for highly specific outputs.

High-Resolution Outputs:
Supports resolutions up to 1152x640 for full-body compositions and 896x896 for portraits, with options for high-resolution fixes.

Artistic Flexibility:
Compatible with artistic and professional projects, enabling users to create customized artwork or concept visuals.

Hyper-Realistic Visuals: Generates images with exceptional detail and realism.

Versatile Applications: Ideal for artistic, professional, and research purposes.

Scalable Performance: Efficiently handles diverse text-to-image tasks.

What Can I Use It For?

Portrait Photography:
Create realistic portraits of individuals for artistic or professional use.

Advertising and Marketing:
Generate photorealistic visuals for campaigns without the need for costly photoshoots.

Game Development:
Design realistic characters or environments as assets for video games or virtual worlds.

Concept Art:
Visualize ideas quickly with detailed and lifelike renders.

Content Creation:
Enhance blogs, social media, and websites with visually appealing and unique imagery.

Prototyping and Design:
Use in product design or architecture to visualize concepts in realistic settings.

Creative Projects: Bring imaginative ideas to life with realistic visuals.

Professional Mockups: Generate compelling images for business and marketing needs.

Research and Experimentation: Explore advanced text-to-image capabilities for academic or experimental use.

Things to Be Aware Of

Experiment with Different Styles:
Use prompts describing specific aesthetics like "cinematic lighting" or "modern minimalism."

Create a Unique Portrait:
Generate a detailed face portrait at 896x896 resolution with precise features and expressions.

Design a Scene:
Try a full-body or half-body composition set in a specific environment, such as "a bustling marketplace at sunset."

Use Negative Prompts:
Include terms like “cropped, low-quality, extra limbs” in the negative prompt field to remove artifacts and refine output.

Explore High-Resolution Fix:
Use the Hires.Fix option to upscale your favorite images and improve sharpness and detail.

Try Abstract Concepts:
Input a creative prompt such as "a surreal landscape with floating islands and glowing plants."

Adjust Sampling Parameters:
Experiment with different samplers like DPM++ SDE Karras and increase sampling steps for more refined images.

Specific Examples: Test with various text prompts to create diverse visuals.

Parameter Adjustments: Experiment with different settings to refine results.

Creative Applications: Use the model for unique and innovative visual projects.

Integration Scenarios: Combine with other tools for enhanced workflows.

Limitations

Image Quality:
The model performs best with high-resolution and well-structured input images. Low-quality or blurry inputs may result in suboptimal outputs or artifacts.

Prompt Specificity:
Realistic Vision heavily relies on detailed and well-crafted prompts. Ambiguous or overly general prompts may produce inconsistent results.


Output Format: PNG

Pricing Detail

This model runs at a cost of $0.001073 per second.

The average execution time is 10 seconds, but this may vary depending on your input data.

The average cost per run is $0.010725

Pricing Type: Execution Time

Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.