Google’s Gemini Pro Global Rollout on Bard Set to Surpass GPT-4 Soon
Bard with Gemini Pro upgrade will now let users to create images on the go
Bard with Gemini Pro upgrade will now let users to create images on the go

Google’s latest text-to-image model, Imagen2, has quietly debuted with upgraded image quality and innovative features, setting it apart from DALL-E 2.

With OpenAI’s latest image generation tool DALL.E 3 slated to release on ChatGPT next month, how would existing superstar Midjourney fare?

With Visualising AI, Google DeepMind takes an unconventional approach to create stock images that break AI stereotypes. But, why?

After being silent since its last launch, OpenAI is secretly working on its next AI image generation tool

While OpenAI focused on advancing ChatGPT and developing GPT-4, Midjourney established its dominance in text-to-image generation

OpenAI announces general availability for GPT-4 API and plans to remove older models in Completion API

Firefly adds metadata to its images and is trained on their own stock images, protecting creators’ rights.

Currently, in beta testing, Adobe Firefly allows users to access its generative AI-based editing models through a waitlist.

With nothing extraordinary to offer, is Meta’s AI Sandbox just another attempt to stay relevant in the AI race?

Just like the introduction of GPT-4 in chatbots, consistency models might be the next step for AI image generation.

The problem is, Midjourney is too good. And, the lack of moderation policies makes its case even more concerning

When compared to text-generation tools, image-generation platforms like Midjourney, StabilityAI and DALL.E have seen slower adoption

Generative AI is the talk of the town.

All you need to know about text-to-video-to-everything generators today!

The horror-thriller movie ‘House of Dreams’ has been directed by Dmitry Alekseev.

Generate Biomedicines and David Baker‘s Group came up with Chroma and RoseTTAFold Diffusion which are new protein-synthesis methods. They use text-to-image diffusion models.

‘FastSaaS’ – the term represents how AI and no code are lowering barriers for developing software products

Shutterstock and Getty Images have taken contradictory positions to the copyright concerns looming around AI image generators. Their recent moves however show that AI integration is central to the future of both.

Google Research has developed two models that can synthesise 3D models, videos, and worlds using a single image as input.

TikTok, has colossal user engagement – an average user spends 52 minutes on the platform each day, a total of more than 6 hours per week.

OpenAI has also allowed full usage rights to commercialise the images that they create with DALL.E – including the right to reprint, sell and merchandise.

Text-to-image generators are gaining popularity this year. It began with DALL.E 2, but now we have amazing tools like Midjourney and Stable Diffusion and many more.

It is an undeniable fact that whenever a new, popular and eye-grabbing tool comes to the market, tech companies rush to replicate them and create their renditions.

If you require a more detailed, higher resolution image and are willing to spend a few dollars, MidJourney is definitely the way to go.

Imagen tested better than the other models by a wide margin on accounts of both image fidelity and image-text alignment.

In February, OpenAI invited 23 external researchers to “red team” DALL.E 2 to surface its inherent flaws and vulnerabilities.

Generating images from text method works by combining the observed and unobserved categories of text descriptions through some types of auxiliary information, which encodes observable distinguishing properties of objects.

A study conducted by Crunchbase showed that companies still had the tendency to employ AI in gaming, advertising and other immersive applications more than finding creative usage.

It was not till November 2021 that GPT-3 had a public release. In fact, DALL.E 2’s predecessor DALL.E is yet to be publicly released.
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