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OVERVIEW
With the rise of text-to-image, text-to-music, text-to-video technologies and automated image, video, animation and poetry generation, the possibilities to generate with just a few words are endless; thanks to technologies like chatGPT, Midourney and Stable Diffusion and thousands out there.
But not everyone is good with words, and this is where learning prompt engineering comes in. But for those who don’t have time to invest in learning prompt engineering, Feedough is there as your copilot to help you all the way to your success.
ALTERNATIVE LINKS
QUESTIONS & ANSWERS
What is Monster API?
Stable Diffusion UI (version 2.4.24 Beta) is an AI tool designed to generate images based on user-provided prompts. It is a highly customizable tool allowing users to input a prompt, modify image settings and add image modifiers for a more personalized result.
What really is the interest of Monster API?
The Matrix of computing is controlled by the powerful few, with compute rich companies like OpenAI playing with infinite resources, leaving small developers and researchers trapped in a world of limited resources.
Monster API is tired of witnessing small startups and brilliant developers being held back by the financial and technical barriers imposed by the traditional cloud providers.
Monster API is here to break you free from the shackles that hold you back.
Introducing Monster API’s rebellion against the status quo.
It’s time to break free from their control and unleash your inner Monster.
But just passion alone is not enough to overthrow the system, the Matrix.
You need strategy. As developers just like you, Monster API understands what you need – a scalable infrastructure that can take care of all the complex layers of compute, data, storage, and more. You need global availability of resources and most importantly, affordable compute.
You cannot play by the same old rules.
So here’s the cool part:
The team at Monster API access the unused computing power of millions of decentralised crypto mining rigs worldwide and optimize them for machine learning and package them with popular generative AI models like Stable Diffusion. By harnessing these decentralized resources, they provide you with a scalable, globally accessible, and, most importantly, affordable platform for Generative AI delivered through seamlessly integrable APIs.
Join this rebellion and take back control of your destiny and your computing power with the Monster API platform.
Pros and Cons
Pros
Highly customizable image creation
Variety of image modifiers
Detailed render settings
Live image preview feature
Variational Auto Encoder (VAE)
Adjustable guidance scale
Prompt strength modification
Hypernetwork strength adjustment
Image size modification
Offers image upscaling
Multiple drawing styles support
Wide range of visual styles
Carving and etching options
Color and emotion modifiers
Artist-specific modifiers support
Range of CGI tools support
Automatically saves images
Image processing priority control
Flexibility in GPU usage
Supports multiple GPUs
Auto-save and restore settings
Theme customization options
Highly versatile ‘Image Modifiers’ section
Supports image inpainting
Wide range of image sizes
Custom VAE support
Comprehensive selection of samplers
Multiple image output formats
Fix incorrect faces and eyes
Show only corrected/upscaled image
Artist-inspired modifiers
Supports CGI software
Wide variety of CGI rendering
Extensive community and help links
Experimental test features
Automatic compatibility checks
Compatible with specific hardware
Auto sound on task completion
Option to save metadata as JSON
Option for ‘Turbo Mode’
Option for CPU usage
Seed randomness for image creation
Nearly twice as fast speed
Full support for Stable Diffusion 2.1
Optional color correction for img2img
Option for model merging
Fast loading/unloading of VAEs
Auto-save location customization
Process newest job first
High, Balanced and Low GPU memory usage settings
Database of known models
Supports model organization in sub-folders
Supports task parallelism on multiple GPUs
Integrated ‘clr’ color scheme
Inbuilt model troubleshooter
Cons
Beta version instability
Overwhelming user interface
Extremely specific system requirements
Limited output formats
Excessive features may confuse
No support for mobile
Complicated installation process
Lack in multi-language support
Software speed relies on hardware
No clear instructions for newcomers
WHAT THEY SAY
After team Digi Refera carefully went through this Ai and tested all of it’s features, we can confidently attest to a solid platform full of wonders. We therefore advise users to take a look at this Ai platform and come back here to offer us suggestions as to what they also think of the platform.
WHAT WE THINK
After team Digi Refera carefully went through this Ai and tested all of it’s features, we can confidently attest to a solid platform full of wonders. We therefore advise users to take a look at this Ai platform and come back here to offer us suggestions as to what they also think of the platform.