### Summary
Jose Luis Perez Hermo has been using AI tools, specifically text-to-image software, to experiment with visualization in architectural projects. He has found these tools beneficial in various stages of the design process, providing quick and diverse concept exploration, accuracy, and a unique decision-making approach.
### Facts
- Jose has been using AI tools in architectural projects, specifically text-to-image software.
- His project, Pencil 2 Pixels, aims to visualize architectural sketches accurately and leverage AI in the process.
- Jose worked on visualizing the basic geometry and establishing visual narrative coherence with careful image curation.
- He found text-to-image software to be beneficial in topology optimization, energy analysis, and exploring hundreds of concepts for projects.
- Jose used Dall-E 2 and tested Adobe Firefly as a Beta user, but also found ControlNet useful for image corrections.
- AI tools offer a level of realism that is challenging to achieve with traditional software and provide a wide range of solutions for projects.
- The use of Stable Diffusion ensures high accuracy without extensive iteration time.
- Architects must adapt the software to align with their unique styles and embrace AI as a co-worker in the project's evolution.
- Using AI tools throughout the design process provides valuable insights for the architectural community and further advancements in the field.
Recent advancements in generative AI have led to the development of text-to-image models that can create highly realistic images using text prompts, but refining these models to generate specific content can be challenging; however, researchers have introduced an image prompt adapter called IP-Adapter that improves the controllability and compatibility of these models.
Text-driven image synthesis is a field of research that focuses on generating visual content based on textual descriptions or prompts, and recent advancements in deep learning techniques have shown promising results in generating accurate and high-quality images from text prompts.
Artificial intelligence (AI) image generation tools, such as Midjourney and DALL·E 2, have gained popularity for their ability to create photorealistic images, artwork, and sketches with just a few text prompts. Other image generators like DreamStudio, Dream by WOMBO, and Canva offer unique features and styles for generating a wide range of images. However, copyright issues surrounding AI-generated images have led to ongoing lawsuits.
AI tools from OpenAI, Microsoft, and Google are being integrated into productivity platforms like Microsoft Teams and Google Workspace, offering a wide range of AI-powered features for tasks such as text generation, image generation, and data analysis, although concerns remain regarding accuracy and cost-effectiveness.
Microsoft has announced that it will integrate OpenAI's DALL-E 3 image generator into ChatGPT, allowing users to create images within a chat, while also adding new shopping features to Bing.
Microsoft has introduced new features to its AI chatbot, Bing Chat, including more personalized answers, an improved shopping experience, and an Image Creator powered by OpenAI's DALL-E 3.
OpenAI's new version of its DALL-E image generator, integrated into the ChatGPT chatbot, can produce highly detailed images based on user descriptions and instructions, solidifying its position as a leading hub for generative AI. However, concerns have been raised regarding the potential for the technology to spread disinformation and create visual misinformation if not properly regulated.
OpenAI has upgraded its ChatGPT chatbot to include voice and image capabilities, taking a step towards its vision of artificial general intelligence, while Microsoft is integrating OpenAI's AI capabilities into its consumer products as part of its bid to lead the AI assistant race. However, both companies remain cautious of the potential risks associated with more powerful multimodal AI systems.
Getty Images has launched a generative AI art tool that uses an AI model provided by Nvidia to render images from text descriptions, claiming to be "commercially safer" than rival solutions, with safeguards in place to prevent misuse and copyright infringement.
OpenAI has published a technical paper discussing the challenges and limitations of GPT-4V, its text-generating AI model with image analysis capabilities, including issues with hallucinations, bias, and incorrect inferences.
Microsoft is introducing a new AI-powered image generation tool called Paint Cocreator, which allows users to create digital images by describing them with text prompts. The tool generates three variations of artwork for users to choose from and includes content filtering to block inappropriate images.
Microsoft has integrated OpenAI's advanced DALL-E 3 text-to-image model into Bing Chat and Bing Image Creator, enhancing the AI art generator's realism and creativity while implementing safety measures such as digital watermarks and content moderation filters.
Microsoft's Bing Image Creator, an AI-based tool, is being used by users to generate images of popular characters like Kirby flying planes into skyscrapers, raising concerns about the limitations of AI moderation.
Meta has unveiled new AI tools for advertisers, using image and text generation to make it easier for businesses of all sizes to create ads on its platforms, potentially boosting its advertising revenue. While automation saves time, some worry that AI tools could threaten jobs and compromise the quality of ads.
Microsoft has introduced a new feature called Cocreator in the Windows 11 Paint app, which allows users to generate AI images using OpenAI's DALL-E model. To access this feature, users must join the waitlist and update their Paint app to the latest version.
Google has announced the launch of its Search Generative Experience (SGE), allowing users to create images and written drafts from text prompts, similar to Microsoft's OpenAI-based Bing Chat feature. The tool is powered by Google's Imagen family of AI models and includes features to refine queries and generate AI-generated images from Google Images. The company emphasizes responsible deployment and restricts certain types of images, while also enabling export of drafts to Google Docs or Gmail.
Google has launched a text-to-image tool that allows users to generate images based on text descriptions, with safety measures to prevent misuse.
Midjourney is a leading AI image generator, but there are several other alternatives available such as Stable Diffusion, Craiyon, DALL-E 3, Wombo Dream, Blue Willow, Bing Image Creator, Adobe Firefly, and Starryai.
OpenAI is developing a tool to accurately detect images created by its AI service Dall-E 3, which is currently being tested internally before a public release.
OpenAI has released live web browsing as a standard option for users, providing the ability to access up-to-date information, while the new version of DALL-E, an image generation tool, is now available within ChatGPT, offering improved rendering and the ability to refine results.
AI has proven to be surprisingly creative, surpassing the expectations of OpenAI CEO Sam Altman, as demonstrated by OpenAI's image generation tool and language model; however, concerns about safety and job displacement remain.
OpenAI is expanding access to its latest text-to-image generator, DALL-E 3, to ChatGPT Plus and Enterprise customers, with safety measures in place to mitigate the creation of harmful or controversial imagery.
OpenAI is granting ChatGPT Plus and Enterprise subscribers access to its AI image generator, DALL-E 3, although ethical concerns and risks regarding harmful content remain.
AI image generators have become a popular tool for generating images based on prompts, and here is a list of some of the best AI generation apps available with different pricing options and features.
