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Mia Davis (daisyinpicit) on Oct 21 | 1 comments

 

A great profile picture is more than just a simple selfie—it requires a combination of good lighting, the right angles, and thoughtful composition. Using principles from photography, you can create a profile picture that captures attention, conveys your personality, and makes a strong first impression. Here’s a technical guide to help you achieve that perfect shot. Plus, if you find these technics annoying and, ignore these matters and try use Picit.ai to generate good profile pictures.

Lighting: The Key to a Flattering Photo

Why It Matters: Lighting is the most important element in photography. It can enhance your facial features, add depth, and set the mood for your profile picture.

Tips for Great Lighting:

Natural Light is Best: Natural light is soft and flattering. The best times for natural lighting are during the "golden hour" — shortly after sunrise or just before sunset when the light is warm and diffused. This type of light minimizes harsh shadows and gives a natural glow to your skin.

Face the Light Source: Position yourself so that the light is falling directly onto your face or at a slight angle. Avoid standing with your back to the light source, as this will create a silhouette effect and obscure your features.

Use Window Light Indoors: If shooting indoors, stand near a window with indirect sunlight. Diffused natural light from a window can provide a soft, even light that flatters your face.

Avoid Overhead Lighting: Overhead lights, like ceiling fixtures, can cast unflattering shadows on your face, especially around the eyes. Instead, use light sources at eye level to create even illumination.

Experiment with Reflectors: You can use a white piece of paper, a white wall, or a dedicated reflector to bounce light back onto your face. This technique fills in shadows and creates a more balanced light effect.

Avoid Harsh Shadows and Bright Lights: Direct sunlight, especially in the middle of the day, can create harsh shadows and make you squint. If you’re outside, try finding a spot with diffused light, like in the shade of a building or tree.


Mia Davis (daisyinpicit) on Oct 21 | 1 comments

https://www.picit.ai/

Imagine you’re on a quest to achieve the perfect balance between image clarity and file size. Whether it’s for a sleek website, a creative project, or simply to fit within a restrictive file limit, knowing how to lower image quality can be as crucial as a painter mastering their brushstrokes. Let’s embark on this journey through various tools and discover how each one helps in the delicate art of reducing image quality. Plus, if you have needs enhancing images, you can give it a try on using Picit.ai. It not only offers photo enhancer tool, but also AI image generator, background remover and others.

The Photoshop Odyssey

Our first stop is Adobe Photoshop, the heavyweight champion of image editing. Picture yourself opening this powerful tool, your digital canvas ready. You load your image with a sense of anticipation, knowing you’re about to wield Photoshop’s vast capabilities.

First, if the image dimensions seem too grand, you might want to resize it. You navigate to `Image > Image Size`, adjusting the `Width` and `Height` like a skilled craftsman reshaping a piece of clay. Once satisfied, you prepare to fine-tune the quality itself.

The moment arrives as you head to `File > Export > Save for Web (Legacy)`. Here lies the magic slider—a simple yet profound tool for adjusting image quality. You drag the slider, watching as the image morphs from high definition to a more modest resolution. With each tweak, the file size shrinks, like a deflating balloon. After previewing the changes, you save the image, feeling accomplished as you name your file and click `Save`.

GIMP’s Quest

Next, we journey to GIMP, the free and open-source wonder. As you open GIMP, the familiar feeling of a new adventure sets in. Your image is ready, and you’re poised to take control.

Perhaps the dimensions need a touch of resizing?


Mia Davis (daisyinpicit) on Oct 21 | 1 comments

https://www.picit.ai/

Creating an AI art portrait is a fun and innovative way to explore digital creativity. With AI tools, you can transform a simple photograph into a unique artwork that reflects your desired style, from classical to abstract. Here’s a detailed step-by-step guide to help you create your own AI art portrait.

Step 1: Choose an AI Art Generator Tool

Begin by selecting an AI art generator tool that suits your needs. Popular platforms include 

"Picit.ai", "DeepArt", "Artbreeder", "Fotor", and "Runway ML". Each offers different features, such as style customization, ease of use, and access to a variety of art styles. Ensure the platform you choose supports portrait creation and offers a user-friendly interface.

Step 2: Prepare Your Base Image

Select the photo you want to turn into an AI art portrait. A high-resolution image with clear details, especially around the face, will yield better results. Make sure the photo is well-lit, with minimal background distractions. Crop and adjust the image as needed to focus on the subject.

Step 3: Upload Your Image to the AI Tool

Once you have chosen your AI art generator and prepared your base image, upload the image to the platform. Most tools will have a straightforward upload button; drag and drop the image or select it from your device.

Step 4: Select the Art Style

Choose the art style you want to apply to your portrait. AI art tools typically offer a range of styles, from classic oil paintings and watercolors to modern digital art, abstract designs, or even specific artist styles like Van Gogh or Picasso. Browse through the available options and select one that aligns with your creative vision.

Step 5: Customize Your Style Settings

Many AI tools allow for further customization of the style. You can adjust various parameters like color intensity, brushstroke size, texture, and contrast. Some tools offer more advanced settings, such as blending multiple styles or changing the level of stylization applied to different parts of the image (like emphasizing the eyes or softening the background).

Mia Davis (daisyinpicit) on Oct 21 | 1 comments

In recent years, artificial intelligence (AI) has made significant strides across various fields, transforming industries and enhancing the way we interact with technology. One of the most captivating and creative applications of AI is in the realm of digital art, specifically through AI portrait generators. These tools have become increasingly popular, offering a unique blend of artistry and technology that enables users to create personalized, high-quality portraits with just a few clicks. Like using Picit.ai to generate portraits.

The Rise of AI Portrait Generators

AI portrait generators use advanced algorithms and neural networks to analyze and recreate human faces. These tools can take input data—such as a photograph or even a description—and generate a stylized portrait that reflects a certain artistic vision or aesthetic. The technology behind these generators is based on deep learning, a subset of AI that allows machines to learn and make decisions by processing vast amounts of data.

The rise of AI portrait generators can be attributed to the convergence of several technological advancements. The growth of computational power, the availability of large datasets of human faces, and the refinement of deep learning techniques have all contributed to the development of sophisticated AI models capable of producing realistic and artistic portraits.

How AI Portrait Generators Work

At the core of AI portrait generators is a type of neural network known as a Generative Adversarial Network (GAN). GANs consist of two main components: a generator and a discriminator. The generator creates images based on random input or specific instructions, while the discriminator evaluates these images to determine how closely they resemble real human faces.

The generator and discriminator work together in a process of continuous improvement. As the generator produces portraits, the discriminator provides feedback, allowing the generator to refine its output over time. This iterative process results in the creation of highly detailed and realistic portraits that can mimic various artistic styles, from classical paintings to modern digital art.

Applications and Benefits of AI Portrait Generators

AI portrait generators offer a wide range of applications, making them valuable tools for both personal and professional use. Some of the key applications include:

Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

In 2024, girls profile picture trends have evolved significantly, with platforms like Instagram, TikTok, and even LinkedIn pushing new aesthetics, styles, and avenues for self-expression. From embracing candid moments to leveraging the power of AI, here’s an in-depth look at the trends shaping profile pictures this year. If you’re looking to elevate your profile photo game or create something unique using AI tools, Picit.ai offers an excellent resource for generating stunning AI-based profile pictures.

1. Natural and Minimalist Aesthetics

Gone are the days of heavily edited and overly filtered selfies. In 2024, many girls are embracing a more natural, minimalist approach to profile pictures. The focus has shifted towards authenticity, with soft lighting, subtle makeup, and unfiltered images that emphasize natural beauty. These photos often highlight one's personality by focusing on real, unpolished moments, moving away from the pressure to present an overly perfected version of oneself. This trend speaks to a larger movement toward body positivity and self-acceptance, where girls proudly embrace their true selves.

2. Candid Poses and “In the Moment” Shots

Candid, spontaneous shots are becoming increasingly popular, as they offer a more relatable and down-to-earth vibe. Rather than posed, professional-looking images, many girls are opting for photos that capture them mid-laughter, looking away from the camera, or engaged in everyday activities. These natural moments make the profile picture feel more authentic and effortless, breaking away from the overly staged images of the past. The aim is to reflect a personality that’s approachable, fun, and relaxed.

3. AI-Enhanced Avatars and Digital Art

The rise of AI tools has revolutionized how profile pictures are created. In 2024, many girls are using AI-powered tools like Picit.ai to create unique avatars or digital portraits. These AI-generated profile pictures merge the real with the digital, often featuring surreal, colorful elements or cartoon-like versions of the user. This futuristic trend allows girls to stand out while expressing their creativity. AI-based avatars also offer an opportunity to explore different styles and aesthetics that would be impossible in traditional photography, making it a major trend in personal branding.

4. Pet-Centric Photos

Pets continue to play a central role in profile pic


Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

https://www.picit.ai/

Why People Want to Up the Resolution of a Picture

People want to increase the resolution of a photo for various reasons, depending on their needs and the context in which the image will be used. Here are some common motivations:

Higher DPI (Dots Per Inch): For printing purposes, a higher resolution image ensures better quality prints with more detail, especially for large prints like posters, banners, or framed photos.

Avoiding Pixelation: Low-resolution images may appear pixelated or blurry when printed, especially at larger sizes. Increasing resolution helps to maintain sharpness.

Detail Preservation: Increasing the resolution can help preserve fine details in an image, making textures, lines, and other intricate elements more visible.

Zooming In: For images that need to be zoomed in on (e.g., for analysis, editing, or cropping), a higher resolution allows you to zoom in closer without losing clarity.

Marketing and Advertising: High-resolution images are often required for marketing materials, websites, and advertisements to ensure the visuals are crisp and professional.

Photography and Art: Professional photographers and artists need high-resolution images for galleries, portfolios, and commercial uses.

Increasing the resolution of a photo helps to meet these needs, ensuring that the image can be used effectively in various contexts without compromising quality.

To increase the resolution of a picture, you have several options depending on your needs and the tools you have access to. Here are some methods:

Using Image Editing Software: Adobe Photoshop:

Open your image in Photoshop.

Go to Image, Image Size.


Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

Anime has captivated audiences around the world with its unique blend of vibrant colors, expressive characters, and stylized designs. Whether you're a fan of anime or simply love the aesthetic, you might have wondered how to turn your own photos into anime-style art. Thanks to advancements in artificial intelligence (AI) and digital tools, this process is now easier than ever. In this guide, we’ll walk you through the steps to transform your personal photos into stunning anime art using various tools and apps, complete with practical tips for achieving the best results.

Choose the Right Tool or App for Anime Conversion

The first step in transforming your photos into anime-style art is selecting the right tool or app. There are several popular options, each offering unique features to cater to different needs:

Waifu Labs: A web-based AI tool that generates anime-style portraits. While it doesn’t convert photos directly, it allows you to create and customize anime characters based on AI-generated templates, which you can then modify to resemble your photo.

ToonApp: A mobile app that provides a variety of cartoon styles, including anime. It’s user-friendly, making it a great choice for beginners. Simply upload your photo, apply the anime filter, and the app will do the rest.

DeepArt.io: This web-based service uses neural networks to apply artistic styles, including anime, to your photos. Upload your image, choose an anime style, and let the AI work its magic.

PicsArt: A versatile photo editing app with several anime filters and effects. It also offers manual editing tools, allowing you to enhance the anime look further.

Anime Filters on Snapchat and Instagram: Both platforms offer anime-style filters that can instantly transform your selfies into anime characters. These are quick and fun to use, especially if you’re sharing on social media.

Prepare Your Photo for the Best Results

To achieve the best results, it's important to start with the right photo. Here’s how to prepare your image:

Select a Clear, High-Quality Photo: The clarity and resolution of your photo play a significant role in the final output. Choose a well-lit image with clear facial features and minimal background distractions. Close-up portraits tend to work best.

Simplify the Background: A busy or cluttered background can confuse AI tools, leading to less accurate results. If possible, use a photo with a plain background or edit the background out using software like Photoshop or GIMP.

Enhance Lighting and Contrast: Adjust the lighting and contrast to make your photo's features more defined. Many apps have built-in tools for adjusting brightness, contrast, and saturation, which can help the AI better interpret your image.

Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

Restoring old or damaged photos that are blurry can be a challenging yet rewarding task. These photos often have unique issues, such as fading, discoloration, scratches, and general degradation, that require specialized techniques to fix. Here is a guide on how to remove blur and restore clarity to old or damaged photos using apps or softwares. Additionally, you can use Picit.ai and its image upscaler to restore old photos.

Understanding the Challenges of Restoring Old Photos

Old or damaged photos can have multiple issues:

Blur and Fading: Due to age, handling, or improper storage, older photos can become blurry and faded.

Scratches, Tears, and Stains: Physical damage can obscure details and reduce clarity.

Discoloration and Noise: Vintage photos may have discoloration from exposure to light or chemicals and noise from the film grain.

Restoring such photos often requires a combination of several editing techniques to address multiple issues simultaneously.

Using Adobe Photoshop for Professional Restoration

Adobe Photoshop is one of the most powerful tools for restoring old or damaged photos. Here’s how to use it to remove blur and improve clarity:

Step-by-Step Instructions:

1. Scan the Photo

Use a high-resolution scanner to digitize the old photo. Set the resolution to at least 600 DPI to capture the maximum detail.

2. Open the Photo in Photoshop

Open the scanned image by selecting `File > Open`.

3. Convert to a Smart Object

Right-click on the image layer in the Layers panel and select `Convert to Smart Object` for non-destructive editing.

4. Reduce Noise and Grain:

Mia Davis (daisyinpicit) on Oct 18 | 1 comments

In the visually-driven world of social media, a low-fi aesthetic can stand out amid the polished, high-resolution images that flood our feeds. Embracing a low-quality image style can evoke nostalgia, authenticity, and relatability, making your content more engaging. Here are some tips and techniques for artists and marketers to intentionally create low-quality images that resonate with audiences. Additionally, if you want to make high-quality images, use free online image upscaler of Picit.ai.

1. Embrace Grain and Noise

Grainy images evoke the feel of vintage photography and can add character to your visuals.

Add Noise: Use photo editing software like Photoshop or mobile apps such as Snapseed to introduce grain. In Photoshop, go to "Filter" > "Noise" > "Add Noise" and adjust the amount to create a subtle, gritty effect.

Film Emulation Apps: Consider using apps like VSCO or Huji Cam, which offer presets that simulate film grain, giving your photos an authentic low-fi feel.

2. Reduce Resolution

Lowering the resolution of your images can create a distinct low-quality look.

Resize Your Images: In Photoshop or any editing tool, go to "Image Size" and reduce the pixel dimensions. A common size for a low-res effect is 800x600 pixels. This can make your images look pixelated when viewed at larger sizes.

Use 72 DPI: For social media, 72 DPI is sufficient and can enhance the low-quality effect. Set this in your image settings before exporting.

3. Experiment with Color Reduction

Low-quality images often have fewer colors and less saturation.

Adjust Saturation: Reduce the saturation in your images to create a more muted color palette. In Photoshop, go to "Image" > "Adjustments" > "Hue/Saturation" and lower the saturation slider.

Use Limited Color Palettes: Consider using color palettes inspired by retro designs, which often include pastel or earthy tones.

4. Apply Pixelation

Pixelation can give your images a blocky, retro look reminiscent of early digital graphics.

Pixelate in Photoshop: Select your image, then go to "Filter" >


Mia Davis (daisyinpicit) on Oct 18 | 1 comments

Low-quality photos are often the result of various issues such as poor lighting, blurriness, low resolution, or noise. Understanding the root cause of these problems is the first step in effectively enhancing and fixing your images. This guide will help you identify the common causes of low-quality photos and provide practical steps and tools to improve them. Let’s look at how to address these common issues with different tools and techniques.

Fixing Blur

Causes: Blur is often caused by camera shake, slow shutter speeds, incorrect focus, or subject movement. 

Solutions: 

Sharpening Tools: Use sharpening tools in photo editing apps like Adobe Photoshop, Lightroom, or GIMP.

In “Photoshop”: Go to "Filter", "Sharpen", "Unsharp Mask" or “Smart Sharpen” to increase edge contrast.

In "Lightroom": Use the “Detail” panel to adjust the sharpening slider, focusing on edges while masking smooth areas to avoid over-sharpening.

In "GIMP": Use "Filters", "Enhance", "Unsharp Mask" to sharpen the image.

"Stabilization Features": If the photo is slightly blurry, apps like "Snapseed" offer a “Details” tool to improve sharpness. 

AI-Based Tools: Use AI-powered tools like "Picit.ai" to recover details from blurry images.

 

Reducing Noise

Causes: Noise usually appears as graininess in photos taken in low light or at high ISO settings. 

Solutions: 

Noise Reduction Tools:

In "Photoshop": Go to "Filter", "Noise", "Reduce Noise" to smooth out graininess.

In "Lightroom": Use the “Detail” panel and adjust the


Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

In the realm of digital art, the intentional degradation of image quality can create unique and compelling visuals. Artists often explore low-resolution aesthetics to evoke nostalgia, convey raw emotion, or make a statement about the digital age. This article discusses various methods and techniques for transforming high-resolution images into low-res masterpieces, along with the software tools that facilitate this creative process. Additionally, if you want to enhance photo quality, try to use Picit.ai!

1. Understanding Low-Resolution Aesthetics

Before diving into the techniques, it’s essential to understand why artists might choose to work with low-resolution images. Low-res aesthetics can:

Evoke Nostalgia: Low-quality images often remind viewers of earlier digital media and retro video games, creating a sense of nostalgia.

Enhance Emotion: The graininess and imperfections of low-res images can evoke feelings of vulnerability and authenticity.

Challenge Perception: By deliberately degrading quality, artists can prompt viewers to question the nature of digital art and its relation to reality.

2. Software for Image Degradation

Several software tools can help you intentionally degrade image quality. Here are a few popular options:

Adobe Photosho: A powerful image editing tool that offers various filters and effects to reduce quality. The "Image Size" feature allows you to change resolution, and the "Noise" filter can add graininess.

GIMP: This open-source alternative to Photoshop provides similar capabilities, including resizing and adding noise or pixelation effects.

Processing: For those inclined towards coding, Processing allows artists to write scripts that manipulate images, creating custom degradation effects.

Online Tools: Websites like Pixlr or Fotor offer quick ways to adjust image quality without needing extensive software knowledge.

3. Techniques for Degrading Image Quality

Here are some effective techniques to intentionally transform high-res images into low-res artworks:

a. Reducing Resolution

One of the simplest methods is to decrease the image resolution. In Photoshop or


Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

The Uses of Low-Quality Images

Low-quality images, often seen as flawed or undesirable, have found a unique place in digital art and design, where they are used to create visually striking and emotionally evocative works. Artists and designers deliberately reduce image quality to achieve a variety of unique styles and effects that wouldn't be possible with high-resolution images. Here are some of the most creative ways they employ low-quality images:

1. "Retro and Nostalgic Aesthetics": Many designers use low-quality images to evoke a sense of nostalgia, reminiscent of the early days of digital media. Pixelated graphics and low-resolution images recall the look of old video games, early internet graphics, or vintage digital cameras. This retro aesthetic is often used in branding, music videos, and digital marketing to create a warm, familiar feel that connects with audiences.

2. "Glitch Art": Glitch art is a style that embraces digital errors and artifacts, such as pixelation, color distortion, and noise. By intentionally degrading image quality, artists create abstract, unexpected visuals that highlight the beauty in imperfection. This style has grown in popularity across various media, from album covers to video production, often used to convey themes of chaos, disruption, or the merging of digital and physical realities.

3. "Pixel Art and Minimalism": Low-quality images are also central to pixel art, a style that utilizes minimal detail to create compelling imagery. By reducing an image to its simplest form—just a few colors or pixels—designers can focus on composition, shape, and creativity. Pixel art is commonly seen in indie games, animations, and social media graphics, where its simplicity and charm resonate with audiences.

4. "Textured Backgrounds and Layered Effects": Low-quality images can be used to create textured backgrounds or layered effects in design. The artifacts and grain that come with compression or low resolution can add a raw, organic feel to a piece, providing depth and visual interest without the need for high-definition elements.

5. "Experimental and Avant-Garde Art": In experimental digital art, low-quality images serve as a tool for exploring new aesthetic possibilities. By reducing resolution, altering color palettes, or introducing compression artifacts, artists push the boundaries of what is considered visually appealing, challenging conventional notions of beauty and perfection in the digital age.

By using low-quality images creatively, artists and designers can tap into a diverse range of visual languages, creating works that are not only unique but also emotionally impactful and culturally relevant.


Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

Anime profile pictures have become a popular way to express individuality in online spaces, whether on social media, forums, or gaming platforms. Your profile picture is a visual representation of your personality and interests, and creating a unique anime avatar can help you stand out while reflecting your identity. Here’s a guide to help you choose or create the perfect anime profile picture that showcases your individuality.

1. Define Your Personal Style

Start by identifying what kind of style best represents you. Are you into vibrant, energetic characters or calm and serene ones? Some common anime styles include:

Chibi: Cute, small, and cartoony versions of characters.

Realistic: Detailed and more lifelike anime styles.

Fantasy: Magical or sci-fi inspired characters with elaborate costumes.

Choose a style that resonates with your personality and the image you want to project online. 

2. Select Characters or Themes You Relate To

If you prefer using pre-existing anime characters, choose one that reflects your traits or interests. Consider whether you connect more with a heroic, mischievous, or mysterious character. Fans of specific genres like shounen, isekai, or slice-of-life may also want to choose characters from their favorite shows or themes to showcase fandom pride.

You can also mix and match characters or elements from multiple anime to make something uniquely you, and use the free image generator of Picit.ai to create it. 

3. Customize Your Avatar with AI Generators

Several AI tools and websites allow you to generate personalized anime avatars. These tools like Picit.ai let you select features like:

Hair color and style

Eye shape and color

Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

As AI technology continues to advance, it is transforming the way consumers interact with fashion, particularly in the realm of swimwear. One of the most exciting innovations is the development of AI tools that allow individuals to create personalized virtual models of themselves in swimwear. These tools use a combination of body scanning, AI-driven image generation, and deep learning algorithms to produce highly realistic and customizable avatars. This technology is reshaping the online shopping experience, offering numerous benefits to both consumers and retailers.

 

How AI Tools Work for Personalized Virtual Swimwear Models

AI-powered platforms often start by asking users to input specific details like height, weight, and body shape. Some advanced tools can even generate virtual models using 3D body scans or photos, ensuring precise representations. These virtual avatars can then be dressed in different swimsuit styles, allowing users to see how various designs, cuts, and colors will look on their body type.

Additionally, AI-based tools analyze customer preferences, suggesting swimwear that best complements the user’s body proportions and personal style. By providing a realistic and interactive shopping experience, consumers can virtually “try on” swimsuits without stepping into a physical store.

If you have interest in generating your bikini photos, welcome to Picit.ai's AI bikini tool. With it, you can effortlessly create sexy bikini pics that are stunning and high-quality. Our tool ensures that your bikini images are rich in detail, vibrant in color, and perfectly capture the essence of beach style. Whether you're designing for social media, advertising, or personal collections, Picit.ai's AI Bikini Tool delivers exceptional results, showcasing your bikini photos in a new light.The Picit.ai platform is user-friendly and easy to navigate, making the process of generating high-quality bikini images simpler than ever. Say goodbye to the complexities of traditional photography and discover innovative ways to create eye-catching sexy bikini pics with Picit.ai. 

Impact on Online Shopping

Enhanced Consumer Confidence

One of the major hurdles in online shopping is the inability to physically try on clothing. Personalized virtual models ad


Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

In the world of social media and memes, there’s a special charm to low-quality images that somehow makes them even more hilarious and memorable. Whether you want to create a funny meme, a nostalgic throwback, or a deliberately terrible edit, learning how to make low-quality images is an essential skill. Here’s your lighthearted guide to intentionally downgrading your photos for maximum comedic effect! In addition, if you want to generate high-quality photos or enhance photos, you are welcome to use Picit.ai!

Why Low-Quality Images

Low-quality images have become a staple of meme culture, thanks to their quirky, amateurish appearance. They often feel more authentic, spontaneous, and raw, which adds to their humor. Think of the iconic pixelated cat images or overly compressed memes that have taken over the internet — they’re memorable precisely because they look terrible!

Tools You Can Use to Create Low-Quality Images

Let’s start with the basics. Here are a few tools that you can use to make your images look wonderfully bad:

Microsoft Paint (MS Paint): The OG tool for creating pixelated masterpieces. Open your image in Paint, resize it to a tiny size (like 10x10 pixels), then resize it back to its original dimensions.

Online Tools: Websites like "JPEG-Optimizer", "TinyJPG", or "PhotoMosh" offer quick ways to compress and distort images.

Mobile Apps: Apps like "Glitché"" and "PixelLab" provide easy ways to add noise, pixelation, and compression effects to images on the go.

Techniques for Making Images Low Quality

Here’s where the fun begins! Let’s dive into some simple techniques:

Pixelation: Shrink your image to a very small size (like 50x50 pixels), then enlarge it back up. This will create a pixelated, Minecraft-like effect.

Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

AI headshot generators are being increasingly adopted by individuals and businesses for various purposes, from professional branding to creative content. People usually take headshots in photo studios, but now people can also make headshots with online tools like Picit.ai. Here are a few real-life examples of how AI headshot generators have been used successfully, highlighting the benefits experienced and the challenges encountered.

 

Start-Up Using AI Headshots for Employee Profiles

Company: TechNova Solutions (a fictional start-up tech company) 

Objective: To create a consistent, professional look for all employee profiles on the company website and LinkedIn. 

Approach: TechNova Solutions, a remote-first tech start-up, wanted to standardize their employees' photos for use across digital platforms. They decided to use an AI headshot generator, specifically Generated Photos, to quickly produce professional-looking headshots. Employees simply uploaded a photo of themselves, and the AI tool generated enhanced versions that matched the company’s branding style. 

Benefits:

Cost Saving: Saved significant costs on professional photoshoots, especially since employees were scattered across different locations.

Consistency: Created a uniform appearance across all employee profiles, enhancing the company’s professional image.

Convenience: The process was quick and straightforward, taking only a few minutes per headshot.

Challenges:

Lack of Personalization: Some employees felt that the AI-generated photos did not fully capture their personality or uniqueness, which could be a drawback for those in client-facing roles.

Limited Control Over Output: The AI sometimes produced images with slight discrepancies in skin tone or facial features, which required manual touch-ups.


Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

Using manhwa characters as profile pictures (PFPs) is a growing trend, with fans showcasing their love for these vibrant, visually captivating characters. The combination of unique art styles and compelling personalities makes certain manhwa characters ideal for PFPs. Use Picit.ai to generate manhwa character PFPs. Here are some popular ones that stand out for both their aesthetics and personality appeal:

1. Bam (Twenty-Fifth Baam) – Tower of God

Aesthetic Appeal: Bam's evolution from a humble, innocent boy to a powerful and mysterious figure is visually striking. His various outfits and transformations throughout the series provide diverse options for PFPs.

Personality Appeal: As the protagonist, Bam’s loyalty, determination, and growth resonate with fans, making him an inspiring character to display as a PFP.

2. Sung Jin-Woo – Solo Leveling

Aesthetic Appeal: Sung Jin-Woo’s sleek, dark design, especially when he's fully powered-up as a Shadow Monarch, makes for a powerful and intense profile picture. His glowing blue eyes and sleek black attire are visually captivating.

Personality Appeal: Sung Jin-Woo’s journey from a weak hunter to the strongest being reflects perseverance and ambition, qualities that many admire and wish to represent.

3. Raeliana McMillan – The Reason Why Raeliana Ended Up at the Duke's Mansion

Aesthetic Appeal: Raeliana’s elegant, aristocratic design, combined with her classic gowns and expressive eyes, makes her a great choice for fans of romantic and historical aesthetics.

Personality Appeal: Raeliana’s wit, strength, and intelligence are qualities that resonate with readers, making her a character many fans can relate to and proudly showcase.

4. Yona – Yona of the Dawn (Akatsuki no Yona)

Aesthetic Appeal: Yona’s fiery red hair and transformation from a naive princess to a determined warrior provide a dynamic aesthetic. Her various regal and warrior outfits offer a range of PFP styles.

Personality Appeal: Yona’s growth into a strong and independent leader makes her an empowering figure to display as a profile pictur


Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

Artificial Intelligence (AI) is significantly transforming the way we handle video editing, particularly when it comes to removing blur. Traditional methods of deblurring videos are often time-consuming and less effective, especially when dealing with complex motion blur or low-resolution footage. AI-powered solutions, on the other hand, leverage advanced algorithms, neural networks, and machine learning techniques to achieve remarkable results in video restoration, including removing blur. Additionally, if you have need to fix blur images, try visit Picit.ai and use the image upscaler！

How AI is Revolutionizing the Process of Removing Blur from Videos

AI-powered deblurring tools use machine learning models that are trained on vast datasets of blurry and sharp images to recognize patterns and details that the human eye might miss. These models can:

Identify Different Types of Blur: AI can distinguish between types of blur, such as motion blur (caused by camera movement), out-of-focus blur, or Gaussian blur, and apply the correct method to fix each.

Predict and Reconstruct Lost Details: Neural networks, such as Convolutional Neural Networks (CNNs), are trained to predict missing or distorted details in a video frame and reconstruct them with impressive accuracy.

Improve Frame-by-Frame Analysis: AI models can analyze each frame individually and adjust the restoration process dynamically to maintain consistency and quality across the entire video.

Examples of AI-Powered Software and Platforms for Removing Blur from Videos

Here are some popular AI-powered software and platforms that use these advanced techniques for deblurring videos:

1. Topaz Video AI

Overview: Topaz Video AI is a powerful AI-based video enhancement tool that can upscale, stabilize, and reduce blur in videos. It uses a range of neural networks specifically designed for different types of video enhancement, including deblurring.

Key Features:

AI-Powered Deblurring: Uses AI models trained on thousands of videos to detect and reduce motion blur and out-of-focus blur.

Frame Interpolation: Reconstru


Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

In recent years, artificial intelligence (AI) has made significant strides across various fields, transforming industries and enhancing the way we interact with technology. One of the most captivating and creative applications of AI is in the realm of digital art, specifically through AI portrait generators. These tools have become increasingly popular, offering a unique blend of artistry and technology that enables users to create personalized, high-quality portraits with just a few clicks. Like using Picit.ai to generate portraits.

The Rise of AI Portrait Generators

AI portrait generators use advanced algorithms and neural networks to analyze and recreate human faces. These tools can take input data—such as a photograph or even a description—and generate a stylized portrait that reflects a certain artistic vision or aesthetic. The technology behind these generators is based on deep learning, a subset of AI that allows machines to learn and make decisions by processing vast amounts of data.

The rise of AI portrait generators can be attributed to the convergence of several technological advancements. The growth of computational power, the availability of large datasets of human faces, and the refinement of deep learning techniques have all contributed to the development of sophisticated AI models capable of producing realistic and artistic portraits.

How AI Portrait Generators Work

At the core of AI portrait generators is a type of neural network known as a Generative Adversarial Network (GAN). GANs consist of two main components: a generator and a discriminator. The generator creates images based on random input or specific instructions, while the discriminator evaluates these images to determine how closely they resemble real human faces.

The generator and discriminator work together in a process of continuous improvement. As the generator produces portraits, the discriminator provides feedback, allowing the generator to refine its output over time. This iterative process results in the creation of highly detailed and realistic portraits that can mimic various artistic styles, from classical paintings to modern digital art.

Applications and Benefits of AI Portrait Generators

AI portrait generators offer a wide range of applications, making them valuable tools for both personal and professional use. Some of the key applications include:

Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

Anime has captivated audiences around the world with its unique blend of vibrant colors, expressive characters, and stylized designs. Whether you're a fan of anime or simply love the aesthetic, you might have wondered how to turn your own photos into anime-style art. Thanks to advancements in artificial intelligence (AI) and digital tools, this process is now easier than ever. In this guide, we’ll walk you through the steps to transform your personal photos into stunning anime art using various tools and apps, complete with practical tips for achieving the best results.

Choose the Right Tool or App for Anime Conversion

The first step in transforming your photos into anime-style art is selecting the right tool or app. There are several popular options, each offering unique features to cater to different needs:

Waifu Labs: A web-based AI tool that generates anime-style portraits. While it doesn’t convert photos directly, it allows you to create and customize anime characters based on AI-generated templates, which you can then modify to resemble your photo.

ToonApp: A mobile app that provides a variety of cartoon styles, including anime. It’s user-friendly, making it a great choice for beginners. Simply upload your photo, apply the anime filter, and the app will do the rest.

DeepArt.io: This web-based service uses neural networks to apply artistic styles, including anime, to your photos. Upload your image, choose an anime style, and let the AI work its magic.

PicsArt: A versatile photo editing app with several anime filters and effects. It also offers manual editing tools, allowing you to enhance the anime look further.

Anime Filters on Snapchat and Instagram: Both platforms offer anime-style filters that can instantly transform your selfies into anime characters. These are quick and fun to use, especially if you’re sharing on social media.

Prepare Your Photo for the Best Results

To achieve the best results, it's important to start with the right photo. Here’s how to prepare your image:

Select a Clear, High-Quality Photo: The clarity and resolution of your photo play a significant role in the final output. Choose a well-lit image with clear facial features and minimal background distractions. Close-up portraits tend to work best.

Simplify the Background: A busy or cluttered background can confuse AI tools, leading to less accurate results. If possible, use a photo with a plain background or edit the background out using software like Photoshop or GIMP.

Enhance Lighting and Contrast: Adjust the lighting and contrast to make your photo's features more defined. Many apps have built-in tools for adjusting brightness, contrast, and saturation, which can help the AI better interpret your image.

Mia Davis (daisyinpicit) on Oct 18 | Be the first to comment!

 

The rapid advancement of artificial intelligence (AI) technology has significantly impacted various aspects of modern life and industry. AI assistants, in particular, have become integral tools in reshaping how individuals and businesses operate. These intelligent systems are designed to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and making decisions. The proliferation of AI assistants is transforming daily routines, enhancing productivity, and revolutionizing industries.

Enhancing Daily Life

In everyday life, AI assistants like Amazon's Alexa, Apple's Siri, and Google Assistant have become household staples. These digital assistants help users manage their schedules, control smart home devices, and access information instantly through voice commands. By integrating with various applications and devices, they provide a seamless experience that simplifies tasks and enhances convenience. For instance, AI assistants can adjust the thermostat, play music, set reminders, and even place online orders, all through simple voice commands. This level of automation not only saves time but also increases efficiency, allowing people to focus on more meaningful activities. Some people use online AI photo editing tool like Picit.ai to retouch their image so they don't need to do it on their own.

Revolutionizing Workplaces

In the workplace, AI assistants are driving significant changes in how businesses operate. They streamline administrative tasks, manage calendars, and facilitate communication. For example, AI-powered tools like Microsoft's Cortana and Slack's AI features assist in organizing meetings, sending follow-up emails, and prioritizing tasks. This automation reduces the burden of mundane tasks on employees, enabling them to concentrate on strategic and creative aspects of their work.

Moreover, AI assistants are enhancing decision-making processes by providing data-driven insights. They analyze vast amounts of data quickly, identifying trends and patterns that might be overlooked by humans. This capability is particularly beneficial in fields such as finance, healthcare, and marketing, where timely and accurate information is crucial. For instance, in healthcare, AI assistants can help diagnose diseases, recommend treatment plans, and monitor patient progress, thereby improving the quality of care and outcomes.

Transforming Industries

Mia Davis (daisyinpicit) on Oct 10 | Be the first to comment!

https://www.picit.ai/

When the Olympic flame is lit on the Seine River, the world's attention will once again be drawn to the grand spectacle of the 2024 Paris Olympics. However, this year's Olympics is not just a showcase of athletic prowess but also a feast of technology. The widespread application of AI technology is bringing unprecedented brilliance to this sporting event.

As early as April 19 of this year, the International Olympic Committee (IOC) held a grand release of the "Olympic AI Agenda" in London. IOC President Thomas Bach firmly stated, "We must be leaders of change, not objects of change," emphasizing the need to better harness the potential of artificial intelligence in the operation of the Olympics, striving to create an open, green, safe, and immersive Olympic Games.

Safety is the cornerstone of any sports event. This Olympic Games employs AI algorithms to analyze images from surveillance cameras and drones to identify potential security risks. Compared to traditional human monitoring, AI can analyze video streams continuously for 24 hours, significantly reducing the workload of security personnel and greatly minimizing security oversights due to human error. It's as if the Olympics have been equipped with a pair of tireless "electronic eyes."

In the digital world, cybersecurity is equally critical. The Paris Olympics has introduced an AI-driven monitoring system specifically designed for real-time monitoring of social media, capable of precisely identifying and flagging content with tendencies toward online violence, thereby supporting platforms in timely handling of such content. This measure creates a safer and more focused competitive environment for athletes and officials, allowing them to remain undisturbed by online abuse and fully concentrate on their intense competitions.

"How do I get to the stadium? Can the opening ceremony be live-streamed? Is there an electronic referee? Where can I collect the sponsors' gifts?"

Athletes from over 200 countries, totaling more than 1,000, will gather in Paris, where they will be greeted by a new, friendly voice—AthleteGPT. This intelligent assistant will provide navigation and answers on the "Athlete365" mobile app.

These questions are just a small part of what AthleteGPT can answer. This AI chatbot, developed by Mistral AI in Paris, integrates Intel's Gaudi processor technology to build a powerful Large Language Model (LLM). Todd Harple, head of the Olympic AI Innovation Project at Intel Labs in the United States, stated that AthleteGPT can "quickly browse massive amounts of information and provide services around the clock," building a communication bridge in six languages. No matter where you come from, AthleteGPT is your helpful assistant, answering every query an


Mia Davis (daisyinpicit) on Oct 10 | Be the first to comment!

AI applications and tools are the new favorites of many tech companies, and numerous tech giants have started leveraging AI to enhance their products. Companies like Spotify, Notion, Buffer, and Quora all share a common goal: integrating AI technology to elevate the functionality of their products. Let’s take a look at how 12 tech giants and startups are modernizing their products using AI technology and what this means for users. Besides, if you are interested in generating images with AI, you should have a look on Picit.ai, it is a very convenient online image editing and generating tool.

1. Quora’s Poe

Features: Shareable conversations, prompt topics, four different chat modes

Overview: Since its launch in 2009, Quora has focused on a question-and-answer business model. Many users turn to this app to ask questions on topics ranging from social etiquette to weight loss to philosophy. The addition of an AI chat feature signifies an intriguing move towards modernizing the user experience. Poe allows users to choose from four different chat modes, including ChatGPT, and even provides a list of conversation starter topics.

Review of Poe: "Perhaps the most interesting aspect of Poe is that anyone can share their conversations, allowing users to learn from each other."

2. Microsoft Bing AI

Features: Advanced search, improved search, personalized recommendations

Overview: Integrating AI into Bing is transforming the way we search for information online. By leveraging machine learning and natural language processing, Bing AI can deliver more accurate and relevant search results than ever before. With its ability to understand user intent, contextualize queries, and learn from user behavior, Bing AI continuously improves and evolves, making it easier and faster for users to find the information they need.

Review of Bing AI: "The search engine wars have begun! Is this a Google Search killer?"

3. Google Bard

Features: LaMDA technology, search assistant, uses the latest information

Overview: Google, a major tech company, has grown from a simple search engine into an omnipresent tool used daily by millions. Powered by the company's Language Model for Dialogue Applications (LaMDA), Bar


Mia Davis (daisyinpicit) on Oct 10 | Be the first to comment!

In this digital age, photography has become an integral part of our lives. In particular, 5-inch photos play an important role, whether it is to share bits of life on social media or to leave precious memories on special occasions. This article will delve into how to use 5-inch photos effectively, whether you are a newbie or an experienced shutterbug, you can learn a lot from it. Plus, give it a try to generate images with Picit.ai-a fabulous photo editing website.

What Are 5 Inches Photos

We need to know what the standard size of a 5-inch photo is. Typically, a 5-inch photograph measures 5 inches by 7 inches (12.7 cm by 17.8 cm). This is a common print photo size and is suitable for a variety of applications, including family photos, art works and professional photography.

To provide a bit more detail:

Dimensions in Inches: 5 inches (width) by 7 inches (height).

Dimensions in Centimeters: Approximately 12.7 cm (width) by 17.8 cm (height).

Aspect Ratio: The aspect ratio of a 5x7 photo is 5:7.

Uses for 5x7 Photos

5x7 photos are often used in:

Photo Albums: They are a convenient size for physical photo albums.

Frames: Many photo frames are designed to accommodate 5x7 prints.

Gifts: These photos are a popular choice for gifting, as they are large enough to display details but small enough to fit in a variety of spaces.

Event Photography: Such as weddings, graduations, and other significant events.

Choose the Right Photography Equipment

To take high-quality 5-inch photos, you first need to choose the right photography equipment. In general, SLR cameras and high pixel digital cameras are the best choice. They are able to capture more detail and color, ensuring clarity and texture in photos.

If you need to convert these dimensions to other units (e.g., pixels for digital formats), you can use the following information:

For digital printing: The number of pixels will depend on the resolution (D


Mia Davis (daisyinpicit) on Oct 10 | 1 comments

If 2023 was the inaugural year for generative AI, then 2024 is set to become the year of enterprise-level AI. Over the past year, AI applications have been more prominent on the consumer side, with large language models (LLMs) generating text and multimodal models creating images. These applications mostly assist with simple tasks or provide entertainment like Picit.ai.

However, generative AI is not yet mature enough for widespread enterprise-level use. As technology continues to advance, 2024 is expected to see more enterprise-level AI applications come to fruition. The integration of AI into industries will likely be a major topic in the tech world this year.

Broad Application Prospects

Consumer applications are just the tip of the iceberg when it comes to the value of generative AI. The real potential lies in enterprise and industry applications. Chen Xudong, Chairman and General Manager of IBM Greater China, has publicly stated that enterprise-level AI applications have broader demand and potential compared to consumer applications. According to IBM’s experience serving enterprise clients, generative AI has vast opportunities in areas like HR, finance, supply chain automation, IT development and operations, asset management, and data security.

A report commissioned by IBM, titled the "2023 Global AI Adoption Index," revealed that approximately 42% of surveyed companies worldwide have actively deployed AI in their operations. Notably, Chinese companies are at the forefront of enterprise-level AI adoption, with nearly half actively using AI and 85% planning to accelerate AI adoption over the next 2-3 years. Additionally, 63% are exploring generative AI.

Industries such as finance, healthcare, legal consulting, and education, which are service-oriented, are likely to be early adopters of mature generative AI applications. For example, in the financial sector, large models are currently used for risk assessment, management, and knowledge graph platform development. In healthcare, industry-specific models can learn from and analyze vast amounts of medical data, assisting doctors in diagnosing diseases more accurately and efficiently.

Enterprise AI Platforms as the Optimal Solution

Apart from finance and healthcare, other industries are also exploring the integration of generative AI into their business processes. AI is expected to take over from cloud computing as the next focus of enterprise digital transformation. Chen Kedian, President of IBM Consulting Greater China, believes that while cloud computing has been the foundation of digitalization over the past 15 years, the next 15


Mia Davis (daisyinpicit) on Oct 10 | Be the first to comment!

This summer, the globally anticipated Paris Olympics provided a stage for athletes to showcase their talents, while also presenting opportunities for the commercialization and industrialization of AI and large model technologies. A French company developed an AI Q&A assistant called AthleteGPT, which interacts with athletes around the clock. Alibaba's Tongyi became the first large-scale AI model technology provider for the Olympics, supporting live broadcast signal distribution, assisting in event commentary, 360-degree live streaming, and bullet-time video generation. Additionally, other technologies like Baidu's AI-assisted diving training system and SenseTime's smart basketball systems, along with various referee assistance and decision-making products, were also showcased.

AI large models have become a key force driving innovation across various industries. In April 2024, the International Olympic Committee (IOC) released the "Olympic AI Agenda." However, challenges such as rising AI chip prices, limited computing power, intensified competition, and stagnant growth in consumer applications have made the commercial pathway for AI large models less straightforward. Even after rapid industry growth, leading AI companies are still in a money-burning phase, requiring various commercial partnerships and product integrations to sustain continuous updates and iterations of large models. With the fleeting nature of many industry applications, how can businesses achieve a closed-loop commercial model focused on the iterative core capabilities of AI large models? A mature industrial model may already offer some answers.

From "Monopoly" to "Control" – Large AI Models Gradually Moving Behind the Scenes

The advent of ChatGPT marked the beginning of the AI era, with its ability to rapidly attract a large following, leading the market to believe that products based on large models have the potential to become the gateway to the next digital age and a symbol of user entry into the intelligent era. The influx of capital also suggests that AI large models and AI assistants have great potential to become new internet gateways and traffic distribution hubs.

From a technical perspective, AI large models possess powerful language understanding and generation capabilities, providing users with more intelligent and precise services. AI assistants can proactively execute tasks based on user intentions, enabling more personalized interactions.

In terms of application scenarios, AI large models and AI assistants not only play roles in intelligent customer service and intelligent search but are also gradually permeating education, healthcare, finance, and other industries. For example, in intelligent search, a new internet portal battle has begun, with Perplexity's simple and direct search style already diverting a significant number of Google users, becoming a new avenue for information acquisition.

As technology continues to evolve, AI wil


Mia Davis (daisyinpicit) on Oct 10 | 1 comments

Anime has captivated audiences around the world with its unique blend of vibrant colors, expressive characters, and stylized designs. Whether you're a fan of anime or simply love the aesthetic, you might have wondered how to turn your own photos into anime-style art. Thanks to advancements in artificial intelligence (AI) and digital tools, this process is now easier than ever. In this guide, we’ll walk you through the steps to transform your personal photos into stunning anime art using various tools and apps, complete with practical tips for achieving the best results.

Choose the Right Tool or App for Anime Conversion

The first step in transforming your photos into anime-style art is selecting the right tool or app. There are several popular options, each offering unique features to cater to different needs:

Waifu Labs: A web-based AI tool that generates anime-style portraits. While it doesn’t convert photos directly, it allows you to create and customize anime characters based on AI-generated templates, which you can then modify to resemble your photo.

ToonApp: A mobile app that provides a variety of cartoon styles, including anime. It’s user-friendly, making it a great choice for beginners. Simply upload your photo, apply the anime filter, and the app will do the rest.

DeepArt.io: This web-based service uses neural networks to apply artistic styles, including anime, to your photos. Upload your image, choose an anime style, and let the AI work its magic.

PicsArt: A versatile photo editing app with several anime filters and effects. It also offers manual editing tools, allowing you to enhance the anime look further.

Anime Filters on Snapchat and Instagram: Both platforms offer anime-style filters that can instantly transform your selfies into anime characters. These are quick and fun to use, especially if you’re sharing on social media.

Prepare Your Photo for the Best Results

To achieve the best results, it's important to start with the right photo. Here’s how to prepare your image:

Select a Clear, High-Quality Photo: The clarity and resolution of your photo play a significant role in the final output. Choose a well-lit image with clear facial features and minimal background distractions. Close-up portraits tend to work best.

Simplify the Background: A busy or cluttered background can confuse AI tools, leading to less accurate results. If possible, use a photo with a plain background or edit the background out using software like Photoshop or GIMP.

Enhance Lighting and Contrast: Adjust the lighting and contrast to make your photo's features more defined. Many apps have built-in tools for adjusting brightness, contrast, and saturation, which can help the AI better interpret your image.

Mia Davis (daisyinpicit) on Oct 10 | 1 comments

According to reports from media sources citing insiders, Amazon founder Jeff Bezos, AI chip leader NVIDIA, ChatGPT developer OpenAI, and other prominent billionaires or major tech companies are investing in a startup tech company developing humanoid robots—Figure AI Inc. Currently, tech giants like NVIDIA are actively seeking and exploring new application scenarios for artificial intelligence technology, with humanoid robots becoming a new trend. These tech giants seem to believe that humanoid robots will become one of the most important application scenarios for artificial intelligence (AI).

NVIDIA CEO Jensen Huang mentioned at the 2023 ITF World Congress that the next wave of artificial intelligence will be a new type of AI called embodied AI. With the recent emergence of the generative video model Sora, which can understand and simulate the physical world in motion, the future development of larger-scale generative video models with physical world simulation capabilities may fully promote the growth of the humanoid robot industry.

Insiders indicate that Figure AI, a startup supported by NVIDIA, OpenAI, and Microsoft, raised about $675 million in a funding round, with a pre-funding valuation of approximately $2 billion. Amazon founder Bezos invested in Figure AI through his company Explore Investments LLC, reportedly committing $100 million. Microsoft's (MSFT.US) major shareholder, OpenAI, will invest $95 million, while funds under NVIDIA (NVDA.US) and Amazon (AMZN.US) will each invest $50 million.

Humanoid robots have become a key application frontier for leaders in the AI industry, enabling the application of cutting-edge AI technology, such as generative AI, to real-world tasks. At Figure AI, engineers are developing a humanoid robot called Figure 01 that closely resembles human form and motion. The company aims for this robot to perform dangerous tasks unsuitable for humans and hopes that this AI-enhanced humanoid robot will help alleviate labor shortages.

In addition to the aforementioned tech giants, other major technology companies are also actively participating. Intel's venture capital arm will contribute $25 million, LG Innotek from the LG Group will provide $8.5 million, and Samsung Electronics' investment group has committed $5 million. Other significant investors include venture capital firms Parkway Venture Capital and Align Ventures, with the former investing $100 million and the latter providing $90 million.

Cathie Wood's ARK Venture Fund is also participating with an investment of about $2.5 million, and Aliya Capital Partners is investing approximately $20 million. Other investors include Tamarack, investing about $27 million; Boscolo Intervest Ltd. with about $15 million; and BOLD Capital Partners with about $2.5 million.

It is reported that OpenAI, the developer of the globally popular ChatGPT, had once considered acquiring Figure AI and is currently planning to invest $5 million. According to media reports from January this yea


Mia Davis (daisyinpicit) on Oct 10 | 1 comments

Recently, another AI application has gone viral. This time, it's EPIK, an AI photo editing app that has soared to the top of the App Store charts. EPIK allows users to create nostalgic, 90s-style "yearbook" photos of themselves as one of its many templates.

Similar to other popular AI apps, EPIK works by having users upload a series of selfies, which the app then uses to generate retro yearbook photos featuring the users in various poses, looks, and hairstyles.

The app comes from South Korean Snow Corporation, a subsidiary of Naver, which also produces the AI profile app Snow. In recent weeks, EPIK has gained attention on the App Store as influencers from around the world have started sharing AI-generated photos on social media.

On the U.S. App Store, EPIK is currently ranked number one, though its popularity on Google Play is lower, at number 37.

According to market intelligence firm Apptopia, since its debut in August 2021, EPIK has amassed a total of 92.3 million lifetime installs, with 4.7 million downloads in the U.S. The app began gaining attention on September 19 and suddenly went viral 10 days later.

According to market intelligence firm Apptopia, since its debut in August 2021, EPIK has amassed a total of 92.3 million lifetime installs, with 4.7 million downloads in the U.S. The app began gaining attention on September 19 and suddenly went viral 10 days later.

Another company, data.ai, estimates a slight decline in lifetime downloads to 82 million and notes that the app has generated nearly $7 million in consumer spending on iOS. Data.ai also points out that this is EPIK's first appearance in the top charts of comprehensive apps in the U.S.

Snow Corporation did not respond to requests for comment to verify these figures.

Scrolling through Instagram's #epik tag reveals that many prominent accounts have joined the trend of posting AI yearbook photos. These include beauty influencers Samantha Batallanos (254,000 followers) and Bretman Rock (18.8 million followers), actor and rapper Tim Chantarangsu (1.5 million followers), fashion model Eva Mikulski (481,000 followers), Denyzee (526,000 followers), Missou (507,000 followers), Romy (1.5 million followers), Liz Rangel (150,000 followers), and Hila Klein (100,000 followers), as well as Twitch streamer Pokimane (6 million followers) and many others, including influencers from both the app's home country and around the world.

To use EPIK’s yearbook feature, users need to upload 8-12 selfie images, which are then used to create AI-generated photos. The app notes that results may vary as the AI is still improving, and users must agree to accept the results. Users are advised to provide clear photos with various expressions, angles, and backgrounds for t


Mia Davis (daisyinpicit) on Oct 10 | 1 comments

The Uses of Low-Quality Images

Low-quality images, often seen as flawed or undesirable, have found a unique place in digital art and design, where they are used to create visually striking and emotionally evocative works. Artists and designers deliberately reduce image quality to achieve a variety of unique styles and effects that wouldn't be possible with high-resolution images. Here are some of the most creative ways they employ low-quality images:

1. "Retro and Nostalgic Aesthetics": Many designers use low-quality images to evoke a sense of nostalgia, reminiscent of the early days of digital media. Pixelated graphics and low-resolution images recall the look of old video games, early internet graphics, or vintage digital cameras. This retro aesthetic is often used in branding, music videos, and digital marketing to create a warm, familiar feel that connects with audiences.

2. "Glitch Art": Glitch art is a style that embraces digital errors and artifacts, such as pixelation, color distortion, and noise. By intentionally degrading image quality, artists create abstract, unexpected visuals that highlight the beauty in imperfection. This style has grown in popularity across various media, from album covers to video production, often used to convey themes of chaos, disruption, or the merging of digital and physical realities.

3. "Pixel Art and Minimalism": Low-quality images are also central to pixel art, a style that utilizes minimal detail to create compelling imagery. By reducing an image to its simplest form—just a few colors or pixels—designers can focus on composition, shape, and creativity. Pixel art is commonly seen in indie games, animations, and social media graphics, where its simplicity and charm resonate with audiences.

4. "Textured Backgrounds and Layered Effects": Low-quality images can be used to create textured backgrounds or layered effects in design. The artifacts and grain that come with compression or low resolution can add a raw, organic feel to a piece, providing depth and visual interest without the need for high-definition elements.

5. "Experimental and Avant-Garde Art": In experimental digital art, low-quality images serve as a tool for exploring new aesthetic possibilities. By reducing resolution, altering color palettes, or introducing compression artifacts, artists push the boundaries of what is considered visually appealing, challenging conventional notions of beauty and perfection in the digital age.

By using low-quality images creatively, artists and designers can tap into a diverse range of visual languages, creating works that are not only unique but also emotionally impactful and culturally relevant.


Mia Davis (daisyinpicit) on Oct 10 | 1 comments

Low-quality photos are often the result of various issues such as poor lighting, blurriness, low resolution, or noise. Understanding the root cause of these problems is the first step in effectively enhancing and fixing your images. This guide will help you identify the common causes of low-quality photos and provide practical steps and tools to improve them. Let’s look at how to address these common issues with different tools and techniques.

Fixing Blur

Causes: Blur is often caused by camera shake, slow shutter speeds, incorrect focus, or subject movement. 

Solutions: 

Sharpening Tools: Use sharpening tools in photo editing apps like Adobe Photoshop, Lightroom, or GIMP.

In “Photoshop”: Go to "Filter", "Sharpen", "Unsharp Mask" or “Smart Sharpen” to increase edge contrast.

In "Lightroom": Use the “Detail” panel to adjust the sharpening slider, focusing on edges while masking smooth areas to avoid over-sharpening.

In "GIMP": Use "Filters", "Enhance", "Unsharp Mask" to sharpen the image.

"Stabilization Features": If the photo is slightly blurry, apps like "Snapseed" offer a “Details” tool to improve sharpness. 

AI-Based Tools: Use AI-powered tools like "Picit.ai" to recover details from blurry images.

 

Reducing Noise

Causes: Noise usually appears as graininess in photos taken in low light or at high ISO settings. 

Solutions: 

Noise Reduction Tools:

In "Photoshop": Go to "Filter", "Noise", "Reduce Noise" to smooth out graininess.

In "Lightroom": Use the “Detail” panel and adjust the


Mia Davis (daisyinpicit) on Oct 10 | 1 comments

If 2023 was the "Year One of Generative AI," then 2024 is set to be the "Year One of Enterprise AI."

Looking back over the past year, AI technology has been more focused on consumer-facing applications. Whether it's large language models that generate text or multimodal models that generate images from text, these tools have primarily been used to assist with simple office tasks or provide entertainment. However, generative AI still has a way to go before it is mature enough for enterprise-level applications. With ongoing advancements in technology, 2024 is expected to see more enterprise AI applications come to fruition, making the integration of AI into various industries a key topic in the tech world. For example, you can use Picit.ai to generate images with AI.

Broad Application Prospects

Consumer applications represent only the tip of the iceberg for generative AI. Its true value lies in enterprise and industry applications. Chen Xudong, Chairman and General Manager of IBM Greater China, has publicly stated that enterprise AI applications have broader needs and potential compared to consumer applications. According to IBM's extensive experience in serving corporate clients, Chen believes that generative AI has significant opportunities in automating HR, finance, and supply chain processes, enhancing IT development and operations, managing corporate assets, and ensuring data security.

The 2023 Global AI Adoption Index report, commissioned by IBM and completed by Morning Consult, shows that approximately 42% of surveyed companies worldwide have actively deployed AI in their operations. Notably, the report indicates that Chinese companies are at the forefront of enterprise AI adoption. Nearly half of Chinese companies have already adopted AI, 85% plan to accelerate AI adoption within the next 2-3 years, and 63% are actively exploring generative AI.

From an industry perspective, sectors like finance, healthcare, legal consulting, and education are likely to see mature generative AI applications first. For example, in the finance sector, large models are currently used primarily for risk assessment and management, as well as building knowledge graph platforms. In risk assessment, large models can analyze vast amounts of historical and real-time data to predict market risks, evaluate credit risks, and provide more accurate and timely risk management decision support.

In healthcare, industry-specific large models can learn from and analyze vast amounts of medical data to automatically identify pathological features, assisting doctors in diagnosing diseases more accurately and efficiently. Lin Daozhuang, Vice Chair of the IEEE Standards Association's New Standards Committee


Mia Davis (daisyinpicit) on Oct 10 | Be the first to comment!

Recently, another AI application has gone viral. This time, it's EPIK, an AI photo editing app that has soared to the top of the App Store charts. EPIK allows users to create nostalgic, 90s-style "yearbook" photos of themselves as one of its many templates.

Similar to other popular AI apps, EPIK works by having users upload a series of selfies, which the app then uses to generate retro yearbook photos featuring the users in various poses, looks, and hairstyles.

The app comes from South Korean Snow Corporation, a subsidiary of Naver, which also produces the AI profile app Snow. In recent weeks, EPIK has gained attention on the App Store as influencers from around the world have started sharing AI-generated photos on social media.

On the U.S. App Store, EPIK is currently ranked number one, though its popularity on Google Play is lower, at number 37.

According to market intelligence firm Apptopia, since its debut in August 2021, EPIK has amassed a total of 92.3 million lifetime installs, with 4.7 million downloads in the U.S. The app began gaining attention on September 19 and suddenly went viral 10 days later.

Currently, EPIK's largest market by downloads is India, with the U.S. ranking sixth.

Another company, data.ai, estimates a slight decline in lifetime downloads to 82 million and notes that the app has generated nearly $7 million in consumer spending on iOS. Data.ai also points out that this is EPIK's first appearance in the top charts of comprehensive apps in the U.S.

Snow Corporation did not respond to requests for comment to verify these figures.

Scrolling through Instagram's #epik tag reveals that many prominent accounts have joined the trend of posting AI yearbook photos. These include beauty influencers Samantha Batallanos (254,000 followers) and Bretman Rock (18.8 million followers), actor and rapper Tim Chantarangsu (1.5 million followers), fashion model Eva Mikulski (481,000 followers), Denyzee (526,000 followers), Missou (507,000 followers), Romy (1.5 million followers), Liz Rangel (150,000 followers), and Hila Klein (100,000 followers), as well as Twitch streamer Pokimane (6 million followers) and many others, including influencers from both the app's home country and around the world.

To use EPIK’s yearbook feature, users need to upload 8-12 selfie images, which are then used to create AI-generated photos. The app notes that results may vary as the AI is still improving, and users must agree to accept the results. Users are advised to provide clear photos with various expressions, angles, and backgrounds for the best results. After processing, 60 different images are generated.

The app itself is free, bu


Mia Davis (daisyinpicit) on Sep 24 | 2 comments

 

 

If 2023 was the "Year One of Generative AI," then 2024 is set to be the "Year One of Enterprise AI."

Looking back over the past year, AI technology has been more focused on consumer-facing applications. Whether it's large language models that generate text or multimodal models that generate images from text, these tools have primarily been used to assist with simple office tasks or provide entertainment. However, generative AI still has a way to go before it is mature enough for enterprise-level applications. With ongoing advancements in technology, 2024 is expected to see more enterprise AI applications come to fruition, making the integration of AI into various industries a key topic in the tech world. For example, you can use Picit.ai to generate images with AI.

Broad Application Prospects

Consumer applications represent only the tip of the iceberg for generative AI. Its true value lies in enterprise and industry applications. Chen Xudong, Chairman and General Manager of IBM Greater China, has publicly stated that enterprise AI applications have broader needs and potential compared to consumer applications. According to IBM's extensive experience in serving corporate clients, Chen believes that generative AI has significant opportunities in automating HR, finance, and supply chain processes, enhancing IT development and operations, managing corporate assets, and ensuring data security.

The 2023 Global AI Adoption Index report, commissioned by IBM and completed by Morning Consult, shows that approximately 42% of surveyed companies worldwide have actively deployed AI in their operations. Notably, the report indicates that Chinese companies are at the forefront of enterprise AI adoption. Nearly half of Chinese companies have already adopted AI, 85% plan to accelerate AI adoption within the next 2-3 years, and 63% are actively exploring generative AI.

From an industry perspective, sectors like finance, healthcare, legal consulting, and education are likely to see mature generative AI applications first. For example, in the finance sector, large models are currently used primarily for risk assessment and management, as well as building knowledge graph platforms. In risk assessment, large models can analyze vast amounts of historical and real-time data to predict market risks, evaluate credit risks, and provide more accurate and timely risk management decision support.

In healthcare, industry-specific large models can learn from and analyze vast amounts of medical data to automatically identify pathological features, assisting doctors in diagnosing diseases more accurately and efficiently. Lin Daozhuang, Vice C


Mia Davis (daisyinpicit) on Sep 24 | 1 comments

 

Another AI-native application has gone viral. Recently, the AI image enhancement app Magnific AI has garnered widespread attention, attracting 400,000 registered users just over a month after its launch. 

Magnific AI not only uses generative AI technology to upscale images, but it also enhances the resolution with just one click, making the original image clearer and more textured. Even Elon Musk has praised this app on social media.

In this era of large language models, new AI creation tools are gradually emerging. Many users are now combining tools like Midjourney, Magnific AI, and Runway to aid in video creation with AI.

Magnific AI hails from Spain and was created by a team of just two founders: CEO Javi López and CTO Emilio Nicolás. Currently, most of the app’s users are international, with only 5% coming from Spain.

Magnific AI was born out of an unexpected hobby for López and Nicolás. After OpenAI released DALL-E 2 in 2022, López became interested in generative AI and built a community around it in his spare time. By October 2023, López and Nicolás decided to fully commit to their idea and spent a month developing the first generation of Magnific AI.

López revealed that Magnific AI uses an open stable diffusion model. They also discovered that tweaking parameters and source code led to some surprising new product features. Like many AI tools, Magnific AI requires users to input natural language prompts to describe the desired image effects.

Magnific AI can also upgrade emojis into 3D portraits. Unlike other AIGC tools like Pika and Midjourney, Magnific AI's prompts can be broad descriptions or specific instructions regarding the desired image movement, such as enlarging or shrinking a particular area.

Additionally, the Magnific AI tool interface includes options to adjust values like "Creativity," "HDR," and "Resemblance" (similarity to the reference image), as well as fractality (movement direction) to ensure image clarity and content consistency.

Creativity affects the AI's "hallucinations," influencing the details of the generated image. HDR refers to the image’s clarity and level of detail, while Resemblance determines how closely the generated image matches the reference. Increasing this value makes the AI-generated image more similar to the original.

One user used the prompt "robot portrait, futuristic, grey, black, yellow" to magnify a tiny camera on a robot's head into a detailed device with lens details.

Mia Davis (daisyinpicit) on Sep 04 | Be the first to comment!

The Uses of Low-Quality Images

Low-quality images, often seen as flawed or undesirable, have found a unique place in digital art and design, where they are used to create visually striking and emotionally evocative works. Artists and designers deliberately reduce image quality to achieve a variety of unique styles and effects that wouldn't be possible with high-resolution images. Here are some of the most creative ways they employ low-quality images:

1. "Retro and Nostalgic Aesthetics": Many designers use low-quality images to evoke a sense of nostalgia, reminiscent of the early days of digital media. Pixelated graphics and low-resolution images recall the look of old video games, early internet graphics, or vintage digital cameras. This retro aesthetic is often used in branding, music videos, and digital marketing to create a warm, familiar feel that connects with audiences.

2. "Glitch Art": Glitch art is a style that embraces digital errors and artifacts, such as pixelation, color distortion, and noise. By intentionally degrading image quality, artists create abstract, unexpected visuals that highlight the beauty in imperfection. This style has grown in popularity across various media, from album covers to video production, often used to convey themes of chaos, disruption, or the merging of digital and physical realities.

3. "Pixel Art and Minimalism": Low-quality images are also central to pixel art, a style that utilizes minimal detail to create compelling imagery. By reducing an image to its simplest form—just a few colors or pixels—designers can focus on composition, shape, and creativity. Pixel art is commonly seen in indie games, animations, and social media graphics, where its simplicity and charm resonate with audiences.

4. "Textured Backgrounds and Layered Effects": Low-quality images can be used to create textured backgrounds or layered effects in design. The artifacts and grain that come with compression or low resolution can add a raw, organic feel to a piece, providing depth and visual interest without the need for high-definition elements.

5. "Experimental and Avant-Garde Art": In experimental digital art, low-quality images serve as a tool for exploring new aesthetic possibilities. By reducing resolution, altering color palettes, or introducing compression artifacts, artists push the boundaries of what is considered visually appealing, challenging conventional notions of beauty and perfection in the digital age.

By using low-quality images creatively, artists and designers can tap into a diverse range of visual languages, creating works that are not only unique but also emotionally impactful and culturally relevant.


Mia Davis (daisyinpicit) on Sep 02 | 1 comments

With the rapid development of science and technology, artificial intelligence has gradually integrated into our lives. From voice assistants to smart home devices to e-commerce and content recommendations, AI is transforming our daily lives in unprecedented ways. This article will explore 10 amazing uses of AI in everyday life. If you have any interest in making images with AI, try using Picit.AI!

1. Voice Assistant: Today, many smartphones and smart home devices are equipped with voice assistants, such as Siri, Google Assistant and Xiaoai Classmates. These intelligent assistants can provide help according to the user's needs, such as checking the weather, setting alarms, sending text messages, and so on.

2. Smart home devices: Smart thermostats can achieve comfortable adjustment of indoor temperature by automatically adjusting the HVAC system in the home; Smart cameras can monitor the home in real time, alerting users to a visitor or a passing car. In addition, smart home devices can also be linked with home security systems to improve home security.

3. E-commerce: AI is also widely used in the field of e-commerce. In addition to providing product recommendations, e-commerce platforms can also provide users with a more personalized shopping experience by analyzing their shopping behavior and data. In addition, AI can also help enterprises manage and process orders, returns and other businesses, and improve the efficiency of e-commerce operations.

4. Retail trend identification: Online retailers will not only provide product recommendations when users shop, but also identify market trends through the analysis of store and sales data. This helps retailers design product lines that are more in line with consumer needs and enhance the offline shopping experience.

5. Content recommendation: The AI-based recommendation engine can provide users with personalized product recommendations based on the user's product catalog and consumption data. This recommendation approach can not only improve the user experience, but also increase the user engagement and purchasing power of the platform.

6. Navigation and travel: The application of AI technology in the field of navigation and travel is also becoming increasingly mature. By analyzing road congestion and traffic data, AI can plan the best route for users, saving time and fuel consumption. In addition, AI can also provide personalized travel recommendations and services to users based on their travel habits and preferences.

7. Drug discovery: The application of AI in the field of drug discovery has also achieved remarkable results. By analyzing the potential dangers and mechanisms of action of compounds, AI can quickly find new drug applications and accelerate drug development. At present, a n