It was a pleasure hosting Canada's AI Minister @EvanLSolomon at Ideogram's Toronto HQ. We talked about the 3 C's and 2 T's Canadian AI needs: capital, compute, customers, talent, and trust. Proud of our superstar team, building sovereign generative media here at home. 🇨🇦

Introducing Ideogram Ad Resizer. Upload one design, choose the placements you need, and export a campaign-ready set for Instagram, Facebook, YouTube, connected TV, display, print, and more - even at extreme aspect ratios. Available now in the Ideogram app and via the API. Try it:

Creativity is searching for the best ideas. And the only way to find the best ideas is to explore many ideas. I hope we can bring more creativity and beauty to the world by pushing the Pareto frontier of quality × speed × cost for image generation with P-Image-Ideogram. Built by the @PrunaAI and @ideogram_ai and evaluated by @DesignArena.

BREAKING: p-image-ideogram by @PrunaAI and @ideogram_ai establishes new Pareto frontiers for both Preference vs. Price and Preference vs. Speed. At 1K resolution, the very_low reasoning variant costs just 0.3¢ per image, while low costs 0.75¢ per image. Both generate images in around 3 seconds - roughly 8.6× faster than the Design Arena average. A major step forward in making high-quality image generation faster and more affordable. Huge congratulations to both teams!

P-Image-Ideogram is built for production pipelines with four quality modes (Very low, Low, Medium, High), native 1K and 2K generation, and a wide range of aspect ratios. Latency from 3s to 8s. Pick your point on the speed-quality curve

⚡️ Ideogram V4 Fast and Instant are now available on fal -The fastest Ideogram V4 variants, built in-house by fal -Full images in 0.4 seconds on Instant and one second on Fast -Same prompts and parameters as the original at up to 8x the speed

Today, I’m excited to formally announce @mirendil with my amazing co-founders Harsh Mehta, Shayan Salehian, and Tara Rezaei! We’re fortunate to work with @a16z and @kleinerperkins, who led our seed round of $200M, followed by a major investment from NVIDIA, among others. Mirendil exists to accelerate science and technology, and through them, to help solve humanity's most pressing problems. Self-accelerating AI R&D is the most direct path to delivering on AI's broader promise, which is why we believe the most important application of AI is AI itself. Get this loop right, and it compounds. It fundamentally changes the rate of progress itself across all domains. We believe this capability should be democratized. It should be used to power all scientific efforts trying to innovate at the frontier. There are far more important problems—and broader ones—than any single lab can take on, so more groups should be able to pursue them. This pulls concentration of power away from a few labs: businesses and science labs can own their AI and infrastructure, keep their margins, and control their own destiny instead of ceding it all to a single AI lab. We’re a small team with a singular focus. Our founding team consists of 20 researchers and engineers from frontier institutions including Anthropic, xAI, Google DeepMind, and OpenAI, united by a passion for science and a drive to build the technologies that move it faster. If you want to build the system that builds systems, join us! @HarshMeh1a, @shayan_, @tararezaeikh

Going live with the founders of @ideogram_ai and ComfyUI. @mo_norouzi (CEO, Ideogram) + @yoland_yan (CEO, ComfyUI ) sit down with @PurzBeats & @hellorob to talk building open-weight text-to-image models, where open weights stand vs. closed APIs, and what's next. What we'll cover: → Founders interview → Ideogram 4.0 + open-weight release → Structured JSON prompting & bounding box layout control → Live community Q&A Drop your questions in chat we'll put them to the founders live.

Ideogram CEO Mohammad Norouzi says image models need taste: "We think taste is extremely important and we really want our models to have taste, and it's very hard to explain it." "One element of taste is going outside of the normal a little bit and not conforming to the average opinion, which is a little against being on top of the leaderboard." "Ultimately, we work with all the arenas... but we care about our own internal evaluation." "AI is not very good at doing the actual taste evaluation yet, so we work with designers... to really push on the taste." @mo_norouzi with @stuffyokodraws and @venturetwins

The best way to bring the composition from your head into an image → Ideogram V4 + drawing bounding boxes in Comfy. The control here is quite unique. The model uses structured JSON so drawing bounding boxes to get the exact placement works very well. The model only needs 12 steps (turbo), so iterating with different seeds + very impressive text rendering capability leads me to say this is a state of the art open source image model right now. Using the 'Ideogram 4 Prompt Builder' node by Kijai.