
training visual generative models @OpenAI. prev at @reve. Ph.D. @berkeley_ai, BS @Stanford
Joined March 2009
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*Unconditional* image generation with diffusion models is very difficult. Turns out they are simply not trained well! If you learn a correction network that refines the initial denoising prediction over and over, you get amazing unconditional outputs without CFG at matching FLOP.
Can diffusion models generate high-quality images without CFG?
Yes! We introduce ✨Correction Training for Diffusion Models✨, which significantly improves sample quality without relying on classifier-free guidance.
Project page: sunovivid.github.io/correcti…
🧵 (1/n)
I think CFG was a "hack" to bring out better visuals with suboptimal models. It creates this oversaturated, AI-look. In contrast, I really like the natural aesthetics of the correction-guided generations of this paper.
GPT-6 and Intelligent UI, now rolling out in ChatGPT for everyone.
Intelligent UI in ChatGPT delivers fast, interactive answers that make everyday questions more visual, complex topics easier to grasp, and interactive tools for your task available on the spot.
Taesung Park retweeted
Astra x GPT-Images 2.5!
Combining Astra's agentic perception with Image 2.5's consistency leads to some super fun results!
Astra can create, edit, and animate coarse guidance, then render it with GPT-Image
🧵
Taesung Park retweeted
following up after astra launch week and the navier-stokes announcement i wanted to share a little bit about how we think about and build for the over 1 billion people who use chatgpt every week, most of whom use it for free. we’re on a mission to distribute the benefits of agi, and i think this is the most impactful way to do that: giving people as much access as we can safely and feasibly distribute. we want to scale the utility that everyone gets from ai.
over the past 6 months, we've been working to bring the greatest possible capabilities to the broadest possible set of users, including both free and paying users. of course there are some practical limitations and we can’t ship the largest models to everyone, but since march (gpt-5.3 instant), we’ve improved the default chatgpt experience meaningfully:
- responses with a major factual error are down 65%, and they are down 72% in high stakes categories like finance
- gpt-5.6 sol at instant and gpt-5.6 luna at medium are smarter than o3 at high reasoning effort, our frontier reasoning model from 17 months ago, while being considerably faster, 30%+ faster time to last token (evaluated via GPQA diamond)
- chatgpt is far more usable and enjoyable while bringing extreme sycophancy down 80% and overall sycophancy down 83%
- on our high-stakes medical eval, chatgpt produced 83% fewer answers flagged for hallucinations, resulting in hundreds of millions of better health conversations per month
- we're seeing people find more ways to use chatgpt. for a recently joined cohort, we saw the number of use cases pursued at least three times weekly go up 20-30%
not only have we improved the default chatgpt experience dramatically, we’ve also expanded access significantly for all. free users now:
- have access to unlimited text chats
- can use higher reasoning effort
- now have access to automations, letting them schedule tasks to happen later
- have access to better memory through dreaming. this allows chat to personalize much more effectively
we’re always looking for ways to expand access to the billion+ people who use our product weekly. this is the master plan: bring the default experience as close to the capability frontier as possible, expand access to everyone, making intelligence maximally abundant, and make our product much more usable.
this last point, usability, is something we’ve been focusing on as we bring personal agi to everyone. the current top of the line capabilities are staggering, but only the savviest users and insiders know how to use them. our vision is of a progressive, model assisted, onboarding to agi. chatgpt will guide people from all walks of life to the highest utility applications of ai for them. this really is the only way – we think technology that is hard to learn ultimately fails to reach a broad audience. your personal agi will just understand your goals, and automatically use the right set of features and capabilities to get things done for you
lots more to come soon. onwards to scaling utility for all
Taesung Park retweeted
Excited to share that the Reve research team is joining @OpenAI through a strategic partnership, taking our work on controllable generation to the next level, at the frontier of multimodal intelligence!
To my cofounders @Taesung, @cantrell, @jwatte, @laserlikemike and everyone at @reve and @shv: thank you, and congratulations on everything we’ve built together. I’m so proud of this team!
Thank you to @michpokrass, @markchen90, @gdb and all our new colleagues for your trust and warm welcome. We’re thrilled to join OpenAI and build alongside such an extraordinary crew.
Congratulations on GPT Image 2.5, another banger!
ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of.
- Faster image generation to keep your ideas flowing
- Improved fidelity for more natural, recognizable images
- Consistent details across multiple edits
- Comment-based edits to change only what you want
Update: Reve is doing a strategic partnership with OpenAI, under which the research team has joined OpenAI to continue our journey on controllable image generation! As a cofounder, I am deeply grateful to all my coworkers for letting our models shine and bringing our baby Reve to life.
The latest LLMs like Astra have started solving computer vision as an emergent property, and research on visual generation is facing an inflection point. I am awed by the potential we can contribute to the field. A huge thank you to @michpokrass @markchen90 @gdb for believing in the Reve team and welcoming us to this exciting next chapter. GPT Image 2.5 is another release from OpenAI that strengthens its lead in the space of image generation. Check it out!
ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of.
- Faster image generation to keep your ideas flowing
- Improved fidelity for more natural, recognizable images
- Consistent details across multiple edits
- Comment-based edits to change only what you want
Extraordinary team doing extraordinary things. Fast inference on visual generation deserves a team like this. Congratulations on the launch!
Nunchux is live at nunchux.ai!
We’re building the frontier of multimodal generative AI inference: fast, affordable, high-quality serving for image, video, and world models.
Our Modelverse brings 30+ image, video, and avatar models behind one API. Use Nunchux-optimized models in Radical Speed and Radical Value tiers, alongside partner APIs. More models are on the way.
We’re opening access through the waitlist now. New accounts get $10 in credits.
Read our launch blog: nunchux.ai/blog/building-the…
Taesung Park retweeted
Change just the elements you care about and let Reve take care of the rest. Templates now live on reve.com
Taesung Park retweeted
Combining generation with reframe with new video models (in this case, Kling) — all in Reve.com.
Taesung Park retweeted
Introducing Reframe and Relayout in Reve. Reframe is much better than traditional diffusion outpainting or something like Generative Fill in Photoshop because:
- The entire image is regenerated so everything is perfectly harmonized (changes in light, reflections, subtle adjustments in camera angle, etc).
- You can use it to "push in" or zoom as well as outpaint.
- It uses the world's best 4K model.
Relayout allows you to pick new aspect ratios for images and to reimagine them as if they'd been created that way from the beginning. That means laying out text more effectively and aesthetically, filling in plausible details, etc.
Accelerate your creative velocity with Reframe and Relayout. Both are available now in Reve.
⚡️ Reve 2.1 is now available on fal
Generate native 4K images with better control over dense, complex scenes.
- Stronger layout planning and prompt understanding
-More accurate spatial relationships
-Improved fine-text and multilingual text rendering
Adding precise controls to our region representation, trained by @dima_smirnov_ . I had a lot of fun playing with this model feature.














