There are a number of ways to convert a string to its Unicode representation in JavaScript, depending on the desired format of the output. Here are a few approaches, each with explanations and examples: Method 1: Using charCodeAt() for individual characters This method iterates through each character in the string and uses charCodeAt() to get its Unicode code point. It's suitable when you need the individual code points for each character. function stringToUnicodeCodePoints(str) { let codePoints = []; for (let i = 0; i < str.length; i++) { codePoints.push(str.charCodeAt(i)); } return codePoints; } let myString = "Hello, world!"; let unicodePoints = stringToUnicodeCodePoints(myString); console.log(unicodePoints); // Output: [72, 101, 108, 108, 111, 44, 32, 119, 111, 114, 108, 100, 33] Explanation: The function stringToUnicodeCodePoints takes a string str as input. It initializes an empty array codePoints to store the Unicode code points. ...
AI image generation has taken the art world by storm. With the emergence of new AI art tools like DALL-E 2, Midjourney, and Stable Diffusion, it's now possible for anyone to generate stunning works of art simply by describing what they want in a text prompt. However, coming up with the perfect prompt to generate your desired image can be challenging. This is where tools like G Prompter come in handy.
In a recent Youtube video, a content creator demonstrated how G Prompter can help you quickly generate effective prompts for AI art tools like Leonardo. G Prompter allows you to "train" the tool on prompts that have worked well for you in the past. It then uses AI itself to generate new long and descriptive prompts based on your input.
The video creator decided to train G Prompter specifically for generating photorealistic images using Leonardo's "Photoreal" model. Leonardo has a database of top community images along with the prompts used to create them. The video author added several of these top prompts to G Prompter as training data, including portraits, fashion shots, and images of both men and women.
After inputting just 5-10 training prompts, G Prompter was ready to generate new prompts. By selecting the "Photography" and "Photorealism" styles, the tool produced prompts optimized for Leonardo's Photoreal model.
The results were seriously impressive. By inputting simple prompts like "a firefighter" and "a woman exploring the jungle", G Prompter output long, vivid prompts that included details about lighting, professional photography, and more.
Leonardo's Photoreal model then turned these prompts into stunning hyper-realistic images with crisp focus, vivid color, and incredibly lifelike detail. The creator experimented with settings like depth of field, aspect ratio, and "Cinematic" mode to further refine the aesthetic.
Trying Different Art Styles
Next, the YouTuber decided to train G Prompter on a totally different style: vector art. He input prompts from Leonardo's "Dreamshaper" model that generated pop art, collages, and graphic vector designs.
With an artistic style selected, G Prompter again took simple prompts like "wolf" and created prompts tailored to the vector art aesthetic. Leonardo produced colorful, graphic wolves and jungle scenes that looked like they came straight out of a comic book.
In a recent Youtube video, a content creator demonstrated how G Prompter can help you quickly generate effective prompts for AI art tools like Leonardo. G Prompter allows you to "train" the tool on prompts that have worked well for you in the past. It then uses AI itself to generate new long and descriptive prompts based on your input.
Training G Prompter on Leonardo
The video creator decided to train G Prompter specifically for generating photorealistic images using Leonardo's "Photoreal" model. Leonardo has a database of top community images along with the prompts used to create them. The video author added several of these top prompts to G Prompter as training data, including portraits, fashion shots, and images of both men and women.
After inputting just 5-10 training prompts, G Prompter was ready to generate new prompts. By selecting the "Photography" and "Photorealism" styles, the tool produced prompts optimized for Leonardo's Photoreal model.
Generating Hyper-Realistic Images
The results were seriously impressive. By inputting simple prompts like "a firefighter" and "a woman exploring the jungle", G Prompter output long, vivid prompts that included details about lighting, professional photography, and more.
Leonardo's Photoreal model then turned these prompts into stunning hyper-realistic images with crisp focus, vivid color, and incredibly lifelike detail. The creator experimented with settings like depth of field, aspect ratio, and "Cinematic" mode to further refine the aesthetic.
Trying Different Art Styles
Next, the YouTuber decided to train G Prompter on a totally different style: vector art. He input prompts from Leonardo's "Dreamshaper" model that generated pop art, collages, and graphic vector designs.
With an artistic style selected, G Prompter again took simple prompts like "wolf" and created prompts tailored to the vector art aesthetic. Leonardo produced colorful, graphic wolves and jungle scenes that looked like they came straight out of a comic book.
The Verdict
This quick video demonstrated how tools like G Prompter and Leonardo eliminate the hardest parts of AI art generation. By training G Prompter on effective prompts, you can essentially "automate" prompt engineering. Leonardo's models then turn those prompts into breathtaking photorealistic or artistic images.
While Leonardo offers a free tier, advanced features like Photoreal require a paid subscription. However, the video creator notes you can access these features through a free trial.
G Prompter is entirely free and stores all data locally on your device. It's an awesome prompt tool for anyone getting started with AI art generation. With some practice training it, you'll be creating hyper-realistic and stylized AI art in no time.