Post by sumiseo558899 on Nov 4, 2024 9:11:13 GMT
What is Stable Diffusion?
Stable Diffusion is a generative AI model that can turn text and detail cues into unique photorealistic images. Stable Diffusion is one of the top three most popular neural networks for image generation. SD is developed by Stability AI and its CEO Imad Mostaq. The first Stable Diffusion was launched in 2022 and can be used to create not only images but also videos and animations. The model is based on
content writing service diffusion technology and uses latent space, which significantly reduces processing requirements. In addition, it can be run on desktops or laptops equipped with GPUs. Using transfer learning, the Stable Diffusion model can be customized to your specific needs using just five images.
The public release of Stable Diffusion is, without a doubt, the most important and significant event in the world of graphic neural networks. We are sure that this is only the beginning.
“As our models get faster, better, and more specific, you can expect them to improve across the board. Not just images, but audio starting next month, and then 3D and video. Language, code, and more machine learning right now…,” tweeted Stable Diffusion founder Imad Mostaq.
Let's look at the benefits of Stable Diffusion:
the possibility of free use in the console and free tariffs on sites and services
You can use other people's images, they are not copyrighted, are in the public domain and are available under the CC0 1.0 Universal Public Domain Dedication license
open source
high quality generated images
availability of various work options: using the console, through websites, applications or Telegram bot
Creative ML OpenRail-M license for commercial use
GUI versions have advanced settings.
Among the disadvantages we can highlight:
the author does not have copyright to the created image, it is public domain
working with source code or a program on a PC requires high computer power
To work with the original version, programming and software configuration skills are required
PC programs and websites are not always promptly updated and use the latest version.
Stable Diffusion – The Most Powerful Generative Art Neural Network
Lead Panda your reliable partner
Read more
Advertising
How can Stable Diffusion be used in creatives?
Stable Diffusion's capabilities include text-to-image and image-to-image conversion, graphic creation, image editing, and video creation. Let's take a closer look.
Converting text to an image. This is the most common use of Stable Diffusion. The model creates an image using a text prompt. You can create different images by changing the seed value for the random number generator or changing the noise reduction mode for different effects.
Image to Image Conversion: You can create new images using an input image and a text prompt. Often, a sketch and prompt is used for this.
Create graphics, illustrations and logos. Using a set of hints, you can create illustrations, graphics and logos in various styles. Of course, it is impossible to determine the result in advance, although you can control the creation of the logo using a sketch.
Edit and retouch images. With AI Editor, upload an image and use the eraser to mask the area you want to edit. Then, after generating a hint that defines what you want to achieve, edit the image or add details.
Video Creation. GitHub's Deforum feature allows you to create short video clips and animations using Stable Diffusion. Another use is to add different styles to videos. You can also animate photos to create the appearance of movement, such as flowing water.
Stable Diffusion – The Most Powerful Generative Art Neural Network
Important: Google developers have achieved a significant breakthrough, providing the performance of the Stable Diffusion model in generating images on a mobile phone in 12 seconds. Although the Stable Diffusion model has about 1 billion parameters, which requires large resources. That is, AI generation models running on mobile phones are getting closer to reality.
The neural network has recently been updated to a new version, which the developers themselves call “the most advanced image generation model to date.” Stable Diffusion 3 Medium has several important updates compared to its predecessors:
more productive
more stable
more precisely, both in terms of the quality of generation and in terms of the accuracy of compliance with the specified tasks.
And it skillfully handles not only images, but also text. However, the main feature of Stable Diffusion 3 Medium is the ability to solve usually difficult tasks for AI generators, including the creation of photorealistic images (even hands and faces) and text on pictures without artifacts and spelling errors. The neural network now makes mistakes less often, but works well only with the English language.
Stable Diffusion is a generative AI model that can turn text and detail cues into unique photorealistic images. Stable Diffusion is one of the top three most popular neural networks for image generation. SD is developed by Stability AI and its CEO Imad Mostaq. The first Stable Diffusion was launched in 2022 and can be used to create not only images but also videos and animations. The model is based on
content writing service diffusion technology and uses latent space, which significantly reduces processing requirements. In addition, it can be run on desktops or laptops equipped with GPUs. Using transfer learning, the Stable Diffusion model can be customized to your specific needs using just five images.
The public release of Stable Diffusion is, without a doubt, the most important and significant event in the world of graphic neural networks. We are sure that this is only the beginning.
“As our models get faster, better, and more specific, you can expect them to improve across the board. Not just images, but audio starting next month, and then 3D and video. Language, code, and more machine learning right now…,” tweeted Stable Diffusion founder Imad Mostaq.
Let's look at the benefits of Stable Diffusion:
the possibility of free use in the console and free tariffs on sites and services
You can use other people's images, they are not copyrighted, are in the public domain and are available under the CC0 1.0 Universal Public Domain Dedication license
open source
high quality generated images
availability of various work options: using the console, through websites, applications or Telegram bot
Creative ML OpenRail-M license for commercial use
GUI versions have advanced settings.
Among the disadvantages we can highlight:
the author does not have copyright to the created image, it is public domain
working with source code or a program on a PC requires high computer power
To work with the original version, programming and software configuration skills are required
PC programs and websites are not always promptly updated and use the latest version.
Stable Diffusion – The Most Powerful Generative Art Neural Network
Lead Panda your reliable partner
Read more
Advertising
How can Stable Diffusion be used in creatives?
Stable Diffusion's capabilities include text-to-image and image-to-image conversion, graphic creation, image editing, and video creation. Let's take a closer look.
Converting text to an image. This is the most common use of Stable Diffusion. The model creates an image using a text prompt. You can create different images by changing the seed value for the random number generator or changing the noise reduction mode for different effects.
Image to Image Conversion: You can create new images using an input image and a text prompt. Often, a sketch and prompt is used for this.
Create graphics, illustrations and logos. Using a set of hints, you can create illustrations, graphics and logos in various styles. Of course, it is impossible to determine the result in advance, although you can control the creation of the logo using a sketch.
Edit and retouch images. With AI Editor, upload an image and use the eraser to mask the area you want to edit. Then, after generating a hint that defines what you want to achieve, edit the image or add details.
Video Creation. GitHub's Deforum feature allows you to create short video clips and animations using Stable Diffusion. Another use is to add different styles to videos. You can also animate photos to create the appearance of movement, such as flowing water.
Stable Diffusion – The Most Powerful Generative Art Neural Network
Important: Google developers have achieved a significant breakthrough, providing the performance of the Stable Diffusion model in generating images on a mobile phone in 12 seconds. Although the Stable Diffusion model has about 1 billion parameters, which requires large resources. That is, AI generation models running on mobile phones are getting closer to reality.
The neural network has recently been updated to a new version, which the developers themselves call “the most advanced image generation model to date.” Stable Diffusion 3 Medium has several important updates compared to its predecessors:
more productive
more stable
more precisely, both in terms of the quality of generation and in terms of the accuracy of compliance with the specified tasks.
And it skillfully handles not only images, but also text. However, the main feature of Stable Diffusion 3 Medium is the ability to solve usually difficult tasks for AI generators, including the creation of photorealistic images (even hands and faces) and text on pictures without artifacts and spelling errors. The neural network now makes mistakes less often, but works well only with the English language.