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A Step-by-Step Guide to Creating Images with Leonardo

A Step-by-Step Guide to Creating Images with Leonardo

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Leonardo AI has emerged as a versatile and feature-rich generative AI tool, gaining acclaim particularly for its prowess in crafting image assets tailored for computer games. However, its capabilities extend far beyond gaming, offering a wide array of functionalities suitable for various projects. The platform operates on a freemium model, granting users the ability to generate images equivalent to 150 credits daily.

Optimizing Usage and Premium Options

A Step-by-Step Guide to Creating Images with Leonardo

Image Source: gamedev.net

For moderate usage, Leonardo’s daily credit allocation suffices, enabling the creation of approximately 75 images through a blend of generation and manipulation tasks. Nevertheless, for those delving into extensive image generation and desiring access to premium features, Leonardo AI offers a premium plan starting at a modest $10 per month. Notably, the platform’s performance surpasses that of competitors like Midjourney, boasting enhanced image generation metrics and an augmented suite of AI-powered tools.

Signing Up and Initiating Image Creation on Leonardo AI

Joining the Waitlist

As Leonardo AI is currently in beta testing, access is restricted to users who have registered on the waitlist. To initiate this process:

  1. Visit the Leonardo AI website.

  2. Click on the “Create an account” button on the homepage.

  3. Enter your first name and email address in the prompted popup.

  4. Confirm your inclusion in the waitlist by selecting “Count me in.”

Utilizing the Image Generator

Upon accessing your Leonardo AI account, navigate to the design home screen, which may appear intricate initially due to its diverse features. To embark on image creation:

  1. Navigate to “AI Image Generation” in the left panel under “User Tools.”

  2. Enter a prompt in the designated input box.

  3. Enable the “Add Negative Prompt” option if necessary, specifying undesired elements.

  4. Select your preferred image generation model from the dropdown menu.

  5. Click “Generate” to initiate image creation.

Also Read: Google, Microsoft, Meta, and Others Launch Child Safety Initiative

Beyond mere image generation, Leonardo AI offers a plethora of AI-powered image manipulation tools. These include in-painting and out-painting functionalities, along with a precision-driven magic eraser tool for seamless object removal without compromising core elements within an image. The platform’s versatility empowers users to unleash their creative vision, sculpting a diverse range of captivating visuals limited only by imagination.

A Beginner's Guide to Generating AI Images in ChatGPT with DALL-E

A Beginner’s Guide to Generating AI Images in ChatGPT with DALL-E

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A Beginner's Guide to Generating AI Images in ChatGPT with DALL-E

Image Source: isp.page

OpenAI has introduced DALL-E 3, the latest version of its powerful artificial intelligence image generator, exclusively for ChatGPT Plus and Enterprise subscribers. This article explores how to leverage DALL-E 3 within ChatGPT to create captivating AI-generated images.

Accessing DALL-E 3 in ChatGPT

To utilize DALL-E 3 in ChatGPT, you’ll need either a Plus or Enterprise subscription. While Plus subscription costs $20 per month, Enterprise pricing varies based on organizational size.

Log in to ChatGPT: Visit ChatGPT’s website at Chat.OpenAI.com and log in. If you’re not yet a Plus subscriber, sign up and provide your account details.

Switch to GPT-4: Navigate to the dropdown menu labeled “GPT-3.5” and select “GPT-4” to access DALL-E 3 along with other enhanced features.

Prompt GPT-4 to Create an Image: Compose a specific prompt for GPT-4, detailing the desired image. Be imaginative and precise in your description, specifying elements such as subjects, colors, background, and style.

Download or Regenerate Your Image: Upon receiving the AI-generated image, you can view it and download it. If desired, refresh the page to prompt DALL-E 3 to create another version of the image.

Accessing DALL-E 3 without a Plus Subscription

For those without a ChatGPT Plus subscription, DALL-E 3 is accessible via the Bing Image Generator. Simply log in or create a Microsoft account to start generating images.

Does DALL-E 3 Have Usage Limits?

In ChatGPT Plus, DALL-E 3 operates under the same constraints as GPT-4, allowing 40 messages within a three-hour window. However, the Bing Image Creator provides ‘Boosts,’ which expedite image generation. Each account starts with approximately 100 boosts, after which generating images may take longer.

Also Read: A Step-by-Step Guide to Unsubscribe From Unwanted Emails and Newsletters

Exploring the Possibilities of DALL-E 3

DALL-E 3’s integration with ChatGPT opens up a world of creative possibilities, enabling users to effortlessly generate unique and imaginative images to complement their conversations and ideas. Whether for artistic endeavors, storytelling, or design projects, DALL-E 3 empowers users to bring their visions to life through AI-generated imagery.

In conclusion, with DALL-E 3 now available within ChatGPT, subscribers can unleash their creativity and enhance their interactions with visually stunning AI-generated images. Whether you’re a seasoned designer or an enthusiastic amateur, DALL-E 3 offers a powerful tool for sparking creativity and bringing ideas to fruition.

Meta Introduces Labels for AI-Generated Images Shared on Facebook, Instagram, and Threads

Meta Introduces Labels for AI-Generated Images Shared on Facebook, Instagram, and Threads

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A big move has been launched by Meta, formerly known as Facebook, to address the growing issue of AI-generated photos on its platforms. The business intends to identify artificial intelligence (AI-generated) photographs on Facebook, Instagram, and Threads in the upcoming months. By making this change, consumers will be able to clearly and transparently discern between material provided by AI and content created by humans, which is becoming an increasingly difficult task.

“As the difference between human and synthetic content gets blurred, people want to know where the boundary lies,” states Nick Clegg, President of Global Affairs at Meta.

searchenginejournal.com

Taking Care of the Unclear Boundaries

Meta Introduces Labels for AI-Generated Images Shared on Facebook, Instagram, and Threads

Image Source: openaisea.com

President of Global Affairs at Meta Nick Clegg emphasises the need for openness at a time when it’s getting harder to distinguish between real and fake content. The increasing popularity of AI image-creation technologies makes it necessary for consumers to be aware of the origin and legitimacy of the information they come across on social media.

Future Features & Predictions

In the upcoming months, Meta plans to provide multilingual labelling of AI-generated photographs across all of its platforms. This project is especially important during global elections when the veracity of the information is crucial. To distinguish AI-generated photographs, Meta intends to apply several strategies, including embedded metadata in the image files, visible markers, and invisible watermarks. Furthermore, users will be penalised for failing to notify when the content is produced by AI under the new standards.

These actions emphasise responsible AI development and are in line with best practices that the Partnership on AI (PAI) has advocated.

Looking Forward

To guide its long-term plan, Meta will be actively observing user interaction with labelled AI content over the upcoming year. 

The firm will now use detection technologies to classify AI material from outside suppliers and top AI art platforms, but it presently labels pictures created by its own AI image generator manually.

Users are encouraged to cautiously assess accounts that share photographs in the interim and keep an eye out for visual irregularities that might indicate computer production.

Essential Advice for Companies and Marketers

From Meta’s statement, companies and social media marketers should learn the following important lessons:

  • Authenticity and Transparency: As the use of AI-generated images in marketing grows more widespread, companies should place a high priority on authenticity and transparency, taking into account proactive disclosures.

  • Recognising Audience Preferences: Companies should be aware of whether their target audience prefers “human-made” or artificial intelligence-generated material, and adjust their approach appropriately.

  • Impact on Trust: Marketers should keep a careful eye on user attitude around AI usage, even if properly labelling synthetic material may help to limit negative effects on trust.

  • Ethical AI Development: It is important to emphasise the necessity of ethical AI development and responsible usage since rushing to employ immature AI technology might backfire.

  • Increase in Technology Interest: Marketers should keep up with the latest developments in digital watermarking, metadata standards, and synthetic media identification techniques since these areas are expected to see a rise in interest.

Also Read: WhatsApp Will Soon Work to Enable Chats with Other Encrypted Messaging Apps

Conclusion

When it comes to addressing the issues raised by AI-generated material on social media sites, Meta’s endeavour represents a major advancement. With an emphasis on openness and user knowledge, Meta wants to enable consumers to choose the material they consume with knowledge. Businesses and marketers need to adjust their plans to appropriately negotiate the shifting terrain of synthetic content as the digital media ecosystem continues to change.