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Microsoft’s Copilot now blocks some prompts that generated violent and sexual images

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appears to have blocked several prompts in its tool that led the generative AI tool to spit out violent, sexual and other illicit images. The changes seem to have been implemented just after an engineer at the company to lay out severe concerns he had with Microsoft’s GAI tech.

When entering terms such as “pro choice,” “four twenty” (a weed reference) or “pro life,” Copilot now displays a message saying those prompts are blocked. It warns that repeated policy violations could lead to a user being suspended, according to .

Users were also reportedly able to enter prompts related to children playing with assault rifles until earlier this week. Those who try to input such a prompt now may be told that doing so violates Copilot’s ethical principles as well as Microsoft’s policies. “Please do not ask me to do anything that may harm or offend others,” Copilot reportedly says in response. However, CNBC found that it was still possible to generate violent imagery through prompts such as “car accident,” while users can still convince the AI to create images of Disney characters and other copyrighted works.

Microsoft engineer Shane Jones has been about the kinds of images Microsoft’s OpenAI-powered systems were generating. He had been testing Copilot Designer since December and determined that it output images that violated Microsoft’s responsible AI principles even while using relatively benign prompts. For instance, he found that the prompt “pro-choice” led to the AI creating images of things like demons eating infants and Darth Vader holding a drill to a baby’s head. He wrote to the FTC and Microsoft’s board of directors about his concerns this week.

“We are continuously monitoring, making adjustments and putting additional controls in place to further strengthen our safety filters and mitigate misuse of the system,” Microsoft told CNBC regarding the Copilot prompt bans.

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How to create laser engraving depth maps from AI generated images

creating depth maps for laser engraving from AI artwork

The world of design and manufacturing is witnessing a significant shift with the introduction of artificial intelligence (AI) into the realm of 3D laser engraving. The ability to create a wide range of amazing designs and concepts in just a few minutes is reshaping the capabilities of manufacturing for small businesses and enthusiasts. If you would like to learn how to create depth maps for laser engraving from AI generated images this quick guide will show you how to build maps for intricate designs that can be etched onto various materials, including wood, metal and more.

The key to achieving high-quality 3D engravings lies in the creation of depth maps from AI-generated images, a process that is both fascinating and complex yet extremely easy to do thanks to AI tools. Imagine being able to transform a flat image into a textured, three-dimensional work of art. Once you have your AI-generated artwork, the next step involves converting it into a depth map for you to create  an engraving.

TilingZoeDepth AI App

This is where the Tiling Zod Dev project comes into play. Created by Bill F. Smith, this project offers the tools needed to turn your images into the maps that will guide the laser during the engraving process. By using Google Colab, a cloud-based platform that can be accessed with a Google account, you can upload your image and execute a series of commands to generate depth maps in both low and high resolutions.

Workflow:

  1. Generate a depth map for the overall image
  2. Split original image into overlapping tiles
  3. Generate depth maps for the tiles
  4. Reassemble into a single depth map by applying gradient masks and average weighting from first depth map
  5. Repeat steps 2-4 at higher resolution
  6. Combine all three depth maps by:
    a) Calculate edge filter from original RGB image
    b) Blur edge filter and use as mask for high resolution depth map
    c) Apply masked high resolution to average of low and medium resolution depth maps

Building depth maps for laser engraving from AI images

Watch the excellent tutorial currently created by Justin Laser  below to learn more about how you can easily create depth maps from AI artwork that you can then laser engrave onto a wide variety of different materials.

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These depth maps are crucial as they dictate how the laser interacts with the material’s surface, creating the stunning 3D effect. After the maps are generated, they can be downloaded for use in the laser engraving machine. It’s important to disconnect from the server after this step to avoid any potential penalties.

The next phase is the actual engraving, where understanding the relationship between the laser and the material is essential. For example, CO2 lasers are typically used for softer materials like wood, while fiber lasers are more suitable for engraving metals. It’s crucial to adjust the laser settings based on the depth map guidelines to ensure the final product has the desired level of detail and precision.

Depth maps have revolutionized the field of laser engraving by enabling a degree of detail and realism that was once difficult to achieve. They bring out the natural beauty of wood grains and the reflective qualities of metals, elevating the aesthetic value of the material.

Things to consider when  creating depth maps for engraving

Creating depth maps from AI-generated artwork for laser engraving involves several critical considerations to ensure the final product meets high standards of detail and quality. This guide covers essential aspects, including selecting the right AI tools, preparing images, converting them into depth maps, and understanding material-laser interactions. Each step plays a crucial role in achieving a textured, three-dimensional engraving that enhances the visual appeal of the material.

1. Selecting AI Tools for Image Generation

  • Quality and Detail: Choose AI applications that can generate high-resolution images with the level of detail necessary for engraving. Look for software that specializes in creating images with depth, such as those capable of producing bas-relief effects.
  • Customization Options: Opt for AI tools that offer extensive customization options, allowing you to adjust features like texture, depth, and lighting to create a more realistic 3D effect.
  • Compatibility: Ensure the AI-generated images are compatible with the software or platform you plan to use for converting them into depth maps.

2. Preparing AI-Generated Artwork

  • Image Resolution: High-resolution images are essential for capturing fine details in the engraving process. Aim for the highest possible resolution within the limits of your software and hardware.
  • Contrast and Brightness: Adjust the contrast and brightness of your images to highlight the details. Depth map conversion tools often rely on these elements to differentiate between various levels of depth.
  • Simplification: Simplify complex images if necessary. Too many details can result in a cluttered depth map, making it difficult for the laser to accurately reproduce the design.

3. Converting Images into Depth Maps

  • Software Selection: Use reliable software or platforms, such as Google Colab with projects like Tiling Zod Dev, that can efficiently convert images into depth maps. These tools should offer options for both low and high-resolution outputs.
  • Depth Map Resolution: Choose the appropriate resolution for your depth map based on the material you’re engraving and the complexity of your design. Higher resolution maps are better for detailed and intricate designs.
  • Understanding Depth Levels: Familiarize yourself with how your chosen software interprets different shades of gray to represent depth. This understanding will help you adjust your original image for optimal depth map creation.

4. Material and Laser Considerations

  • Material Selection: The choice of material (e.g., wood, metal) significantly impacts the engraving process. Understand how different materials react to laser engraving to select the most suitable one for your project.
  • Laser Type: CO2 lasers are generally used for softer materials like wood, while fiber lasers are better for metals. Selecting the right laser type is crucial for achieving the desired engraving effect.
  • Laser Settings: Adjust the laser settings based on the depth map guidelines. Factors like power, speed, and frequency need to be tailored to both the material and the specific details of the depth map.

5. Testing and Adjustments

  • Pilot Runs: Before finalizing the engraving on your chosen material, perform tests on similar, less valuable materials. This allows you to adjust the depth map and laser settings as needed.
  • Iterative Adjustments: Use the results of your tests to make necessary adjustments to the image, depth map, or laser settings. It might take several iterations to achieve the desired outcome.

The integration of AI-generated imagery into 3D laser engraving represents a significant advancement in how we create and appreciate detailed designs. By carefully selecting the appropriate AI tools and understanding the nuances of laser-material interactions, designers and manufacturers can produce works that truly enhance the visual appeal of any material. This process is not just about the technology; it’s about marrying art with innovation to push the boundaries of what’s possible in design and manufacturing.

Image Source :  Justin Laser

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Easily add your face to AI generated photos and art

Easily add your face to AI generated artwork

Imagine being able to travel through time and space with just a photograph. Photomaker, an innovative AI-generated art tool, makes this possible. With a simple upload, you can see yourself or others in a variety of scenes, from historical moments to futuristic landscapes. This article will guide you through using Photomaker in conjunction with Pinokio, a platform that allows you to run AI tools on your own Windows computer. We’ll discuss what you need to get started, how to install the software, and tips for getting the most realistic results from the AI.

Photomaker is at the forefront of AI-generated art technology. Its user-friendly design lets you create personalized scenes with ease. You can be part of a famous painting, experience a moment in history, or venture into a science fiction world. The advanced algorithms of Photomaker ensure that your image is seamlessly integrated into any setting, with appropriate style and lighting.

How to face swap on AI artwork

Before you can start using Photomaker, you’ll need to set up Pinokio on your computer. This platform is designed to make it easy to use AI tools like Photomaker on your own device, offering faster processing times and more privacy. Pinokio acts as a bridge between your computer’s hardware and the AI software, ensuring everything runs smoothly.

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Getting Photomaker up and running is straightforward. You’ll want to make sure your Windows operating system is up to date first. Next, download and install Pinokio from its official website, following the instructions in the video embedded below. Once Pinokio is installed, you can use it to install Photomaker. The installation process is guided by on-screen prompts, so you’ll be ready to create AI art in no time.

To ensure Photomaker operates without a hitch, your computer should meet certain system requirements. A dedicated graphics processing unit (GPU), like the RTX 480 GPU, is recommended. This type of GPU has its own memory, which is important for handling the tasks associated with AI-generated art.

Before you begin, it’s a good idea to check that your GPU has enough memory for the job. You can do this in Windows by going to the Display settings and then to Advanced display settings. There, you’ll find information about your GPU and the available memory.

For the best results, you may need to adjust some settings, such as the quality of the image and the intensity of the style. These tweaks help the AI better understand your photo and create more accurate scenes. You’ll find the perfect settings for your projects through a bit of trial and error.

How to install Pinokio

With Photomaker, you can explore a vast array of creative scenarios. Whether you want to see yourself in a serene natural landscape, an intense action scene, or a calm urban environment, the AI can create a unique image that fits your chosen setting.

There’s also exciting news for those looking to enhance their AI art creation capabilities. An upcoming giveaway will offer the chance to win an RTX 480 GPU. This powerful GPU will provide the speed and memory necessary to handle even the most complex scenarios.

Photomaker and Pinocchio open the door to the world of AI-generated art. By following the steps outlined in this guide and ensuring your system is ready, you can easily transport yourself or others into any imaginable situation with impressive realism. Stay tuned for the giveaway, and let your creativity soar with the endless scenarios you can create.

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How to sell AI generated images on Adobe Stock

How to sell AI generated images on Adobe Stock

Artificial intelligence has made it extremely easy to create AI generated images, photos and illustrations using services such as Midjourney, Stable Diffusion, Leonardo AI, OpenAI DallE 3 and others. However creating specific images for certain markets still requires skills and knowledge on how to prompt the AI generator correctly. If you have been developing your AI art generation prompting skills and would like to turn them into money by selling your images on Adobe Stock this quick guide will take you through the process.

As an artist or photographer, you might be intrigued by the potential of AI-generated images and their place in the stock photography market. Adobe Stock, a leading content platform, has opened its doors to this novel form of art, providing tech-savvy creators with an opportunity to sell their AI-crafted images to a global audience.

To get started on Adobe Stock, the first step is to set up a contributor account. This account will be your command center, where you can upload and manage your creations. But before you dive into uploading, it’s crucial to familiarize yourself with the platform’s submission guidelines. Adobe Stock has specific requirements to ensure that all content is original and meets their standards, so understanding these rules will help you avoid any potential issues down the line.

Selling AI generated images and photos

Creating a portfolio of AI-generated images that will sell is not just about churning out content; it’s about strategic creation. The goal is to produce high-quality images that are in demand by Adobe Stock’s vast user base. To achieve this, you can use AI tools like the Mid Journey AI image generator, which can help you create photorealistic images that resonate with current trends, popular themes, and upcoming holidays.

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When you’re crafting these images, remember that quality and relevance are your guiding principles. Once you’ve created your images, it’s time to ensure they meet Adobe Stock’s high standards. This might involve upscaling your images to enhance their resolution and overall visual appeal.

Uploading your work to Adobe Stock is a straightforward process. Each image you upload should be accompanied by detailed information, accurate categorization, and enriched with metadata. Keywords play a pivotal role in making your content discoverable to potential buyers. You might want to use a keyword generation tool to help your images stand out and be easily found by those searching for specific types of content.

Building a strong portfolio is a balancing act between quantity and quality. It’s not just about having a large number of images; it’s about curating a collection that is both high in quality and relevant to what buyers are looking for. To keep your portfolio fresh and appealing, it’s important to stay on top of market trends and seasonal demands, as these can greatly influence your sales potential.

The opportunity to sell AI-generated images on Adobe Stock is ripe with potential. By tapping into market demands, creating compelling content, and ensuring your portfolio is easily searchable, you can carve out a successful niche for yourself. Keep your creativity flowing, stay informed about the latest trends, and continuously refine your approach. With dedication and a keen eye for what sells, you can thrive in the exciting world of AI-generated stock photography. It’s also worth remembering that Adobe Stock is not the only website that allows you to sell AI generated images a quick search on Google will bring up plenty of others.

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Invisible watermarking for AI generated images – Stability AI

Stable Fine Tuning for AI models enters private preview

Stability AI has this week unveiled a number of new advances in artificial intelligence including its new Stable 3D AI technology that allows users to create 3D models from text prompts. As well as its handy Sky Replacer AI tool perfect for real estate agents looking to transform photographs with gloomy skies into beautiful clear blue vistas.

In another announcement Stable Fine Tuning offers businesses and developers the ability to fine-tune pictures, objects, and styles at record speed, all with the ease of a turnkey integration for their applications. Stable FineTuning AI technology is currently in private preview and has been specifically designed to offer enterprises and developers an easy and quick way to fine-tune a wide variety of digital assets. For more information jump over to the Stability AI website and contact form.

Watermarking AI images

Stable FineTuning gives users the ability to customize pictures into modern digital art, including the addition of stunning landscapes, avatars, and other imaginative creations. This is valuable for employees in the entertainment, gaming, advertising, and marketing industries, which often rely on visuals for sales and brand-building, providing them with a more personalized customer experience.

In addition to its core functionality, Stable FineTuning’s private preview comes with added features that enhance the overall user experience. One of these is the integration of Content Credentials and invisible watermarking for images generated via their API. This feature underscores Stability AI’s commitment to transparency in AI-generated content. It ensures that users can confidently use the tool without worrying about copyright issues or authenticity of the AI-generated content.

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Invisible watermarking in AI-generated images offers a multifaceted approach to solving problems related to intellectual property, data security, and content traceability. One of the most immediate benefits is the protection of intellectual property rights.

Intellectual Property Rights

An invisible watermark can act as a digital signature that certifies the origin of the image. This is particularly valuable for artists or organizations that produce unique visual content, as it provides a way to prove ownership. Additionally, the watermark can contain metadata about the licensing terms, making it easier to manage how the image is used and shared.

  • Ownership Proof: The invisible watermark can serve as a digital signature, certifying the origin of the image. This is crucial for artists and organizations that generate unique visual content.
  • Licensing: The watermark can hold metadata about how the image can be used, simplifying licensing arrangements.

Data Security

In terms of data security, invisible watermarking serves as a tool for both tamper detection and unauthorized use prevention. Some watermarks are designed to be fragile, so any alterations like cropping or rotation will disrupt the watermark, thereby flagging the image as tampered. This feature can be critical in legal or secure environments where the integrity of the image is paramount. Moreover, the watermark can be configured to trigger alerts if the image is used in unauthorized settings, providing an additional layer of security against data leaks or misuse.

  • Tamper Detection: Invisible watermarks can be designed to be fragile. Any alteration to the image (like cropping, rotation, etc.) can disrupt the watermark, indicating that the image has been tampered with.
  • Unauthorized Use: A watermark can trigger alarms or notifications if the image appears in an unauthorized setting, aiding in immediate action against data leaks or misuse.

Content Traceability

Content traceability is another area where invisible watermarking shines. It allows for source tracking and the creation of audit trails. In workflows involving multiple iterations or versions of an image, being able to trace an image back to its original version or source can be invaluable. Similarly, for regulatory compliance in certain industries, an invisible watermark can serve as an effective way to log when, where, and by whom an image was accessed or modified.

  • Source Tracking: In scenarios involving multiple iterations or versions of an image, watermarks can help trace the image back to its original version or source.
  • Audit Trails: For regulatory compliance, an invisible watermark can serve as a log entry, verifying when, where, and by whom the image was accessed or modified.

User Experience

User experience is also enhanced through invisible watermarking. Because the watermark is invisible, it does not interfere with the visual quality of the image. This is especially important in professional or artistic settings where the integrity and appearance of the image are critical. Finally, in the context of machine-to-machine communication, invisible watermarks can embed additional metadata that can be read by other AI systems. This facilitates seamless interactions between different systems without requiring human intervention.

  • Non-Intrusiveness: Since the watermark is invisible, it does not interfere with the viewer’s experience of the image, which is particularly important in professional settings where image integrity is crucial.

Machine-to-Machine Communication:

  • Metadata Embedding: Invisible watermarks can hold additional data that can be read by other AI systems, helping in seamless machine-to-machine interactions without human intervention.

Adding hidden watermarks to images made by AI has many advantages. It helps protect who owns the image, makes the image more secure, lets you track where the image goes, makes it better for users to look at, and even helps different computer systems work together.

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