Gemini 2.5 Image and Gemini 2.5 Image Edit aka Nano Banana are now live on Runnit by RunDiffusion. Instantly generate or edit images using AI. Perform virtual try-ons, remove objects, swap clothing, modify architecture, redesign interiors, add text.| RunDiffusion
This article provides a step-by-step guide on using Text2Image with Runnit on RunDiffusion. Whether you're a beginner or an experienced AI artist, you'll learn how to set up a Runnit Board, add an image generation tool, and create stunning AI-generated images with ease.| RunDiffusion
AI for image creation made easy! Learn 9 tips to start creating stunning visuals today.| AI GPT Journal
This article provides a comprehensive guide to using Flux Kontext Dev in ComfyUI on RunDiffusion. Learn how to use advanced image-to-image workflows using one, two, or three input images with preconfigured workflows.| RunDiffusion
Discover how AI reimagined the Eiffel Tower through the styles of 15 iconic architects—from Gaudí and Santiago Calatrava to Zaha Hadid.| Fello AI
Ralph Losey discusses his ongoing efforts to update Custom GPTs, AI tools created on OpenAI’s platform, outlining their importance for professionals like lawyers and educators. He highlights that m…| e-Discovery Team
Explore the flaws and frustrations of the GPT-4o image generator, from slow generation times to censorship limits and more. Discover the hidden challenges behind the tech hype.| Prompt Engineering Institute
Explore Google Gemini 2's innovative AI features. Learn how this advanced model can improve your productivity and creativity.| AI GPT Journal
OpenAI's recent updates to DALL-E 3 aim to enhance its image generation capabilities, but the focus on relaxing restrictions for "offensive" content raises concerns. The integration of more violent and explicit imagery could contribute to misinformation, and doesn't contribute to the future of the technology.| Leon Furze
The U.S. Court of Appeals reaffirms that AI-generated art cannot be copyrighted without human authorship. What does this ruling mean for the future of AI in creativity? Dive into the debate on AI, copyright law, and the evolving role of human artists.| Prompt Engineering Institute
In various domains, Diffusion Models (DMs) have emerged as groundbreaking tools, offering an unparalleled blend of realism and diversity while ensuring stable training. However, their sequential denoising process poses significant challenges, being time-consuming and costly. In a new paper Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation, a Meta GenAI research team introduces an| Synced