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image-generation

Everything on Ground Truth tagged “image-generation” — 24 items.

Google pulled AI image generation out of Google Earth one day after shipping it News

Google launched Nano Banana image generation inside Google Earth on July 30 and announced a rollback on July 31, saying users were sharing generated imagery that appeared to violate its policies and that it needed stronger guardrails first.

Classifier-Free Guidance Lesson

Classifier-free guidance is the knob that makes image and video models actually follow your prompt: it runs the model twice - once with your prompt, once without - and pushes the output along the difference.

Black Forest Labs launches FLUX 3 -- image, video, audio, and a robot that never renders the video News

Black Forest Labs announced FLUX 3 on July 23 as a unified image, video and audio model with 20-second video and native audio, available only in early access, with open weights deferred to a later Dev release.

Meta Ties Muse Spark 1.1, Muse Image, and Muse Video Into One Agentic AI Stack News

Meta's Superintelligence Labs shipped Muse Spark 1.1, a reasoning model built for agentic tasks with a 1-million-token context window, alongside Muse Image and a preview-only Muse Video, wiring all three into a single agentic system distributed through Meta AI, Instagram, and WhatsApp.

Boogu-Image-0.1: a fully open image model that claims to close in on closed systems for about $400K News

Boogu-Image-0.1 is a fully open-source unified image generation and editing model family whose researchers say a base model reaching near-frontier quality cost roughly $400,000 to train, arguing the closed-open gap is closing through data and pipeline quality rather than raw compute scale.

Meta pulls Muse Image's Instagram-photo training within 48 hours of launch News

Meta disabled Muse Image's default feature that pulled public Instagram photos into its new agentic image model within about 48 hours, after SAG-AFTRA and CAA backlash - the model stayed, the default data grab did not.

Diffusion models: how AI turns noise into images and video Lesson

Diffusion models generate images and video by starting from pure random noise and removing it step by step until a coherent picture emerges -- the technique behind Stable Diffusion, Sora, and interactive video systems like Vidu S1.

Meta unveils Muse Image and Muse Video, its first in-house media generators News

Meta Superintelligence Labs previewed Muse Image and Muse Video, its first homegrown media-generation models, and built 'agentic tool use' directly into the image model instead of treating generation as passive prompting.

GANs: the two-network duel that taught AI to imagine Lesson

A generative adversarial network trains two neural networks against each other -- a forger trying to create fake data and a detective trying to spot it -- until the forger's output becomes indistinguishable from the real thing, the breakthrough that first made AI image generation convincing.

Flow matching: how AI learns to turn noise into a picture Lesson

Flow matching teaches an AI to generate images by learning a smooth flow that carries random noise, step by step, into a realistic picture -- a cleaner, faster successor to diffusion that powers modern image models like FLUX.

A training-free trick makes AI image generation up to 10x faster News

MrFlow speeds up diffusion image models like FLUX by generating a rough image at low resolution, sharpening it with a fast GAN, and refining details at full resolution -- reaching roughly 10x end-to-end speedup with almost no quality loss and no retraining.

Google ships a faster, cheaper image model and hands developers conversational video editing News

A lightweight version of Google's image model now makes a picture in about four seconds for a fraction of a cent, while a new video model lets developers edit clips by talking to it.

Qwen used human-feedback training to make its image AI follow directions better News

A new recipe applies the same reinforcement-learning approach that polished chatbots to an image generator, then merges separate skill models into one - improving how faithfully it follows prompts and edits.

Image generators can't plan. This one bolts on a brain that can. News

Qwen-Image-Agent wraps planning, reasoning, and memory around a text-to-image model so it can break a hard request into steps - and the local-AI crowd immediately asked whether it runs on a gaming GPU.

Researchers turn the internet's hobbyist art 'filters' into training fuel News

Cleanly separating 'what's in a picture' from 'what style it's in' usually needs scarce data. A new method mines the huge public library of community-made style add-ons instead.

An image generator that catches and corrects its own errors mid-draw News

Image-generating models often quietly break the very rule they were told to follow. A new method trains them to notice that error as they work and steer back on target.

A tiny image-fixer keeps up with a model fifty times its size News

Filling in the missing parts of an image usually takes a huge model. This one is a small fraction of the size and far faster, yet matches a system far bigger than it.

Qwen-Image-2.0-Pro Tool

Alibaba's latest open image-generation model in the Qwen family, downloadable and runnable locally, part of a broad open-weight release wave that also refreshed the Qwen3.6 chat models.

Nano Banana 2 Lite Tool

Google's fastest, cheapest Gemini image model - a text-to-image picture in about four seconds for roughly three cents per thousand images, built for high-volume use.

Muse Image Tool

Meta's agentic image model, free for everyday creation inside Meta AI, Instagram Stories (US), and WhatsApp; it can search, write code, and self-refine rather than mapping a prompt straight to pixels, and stamps outputs with an invisible Content Seal watermark.

Meta Muse Image Tool

Meta's agentic image model that uses test-time compute - searching, coding, and iteratively refining its own output - to reach higher quality than a single-pass generator. (The default Instagram-photo training was pulled after backlash; the model remains.)

Mage-Flow Tool

A Microsoft demo space for image generation and editing that works at native resolution rather than upscaling from a fixed square, running free on Hugging Face's shared GPU tier.

FLUX 3 (early access) Tool

Black Forest Labs' unified generation model, producing video up to 20 seconds with native synchronized audio from text, image, video or keyframe inputs. Video is behind an early-access request today; image access is promised in the following weeks and open weights are deferred.

Boogu-Image 0.1 Tool

An open-source unified image understanding and generation model family (Base, Turbo, Edit, Edit-Turbo) with instruction-based editing and bilingual Chinese-English text rendering, trained for roughly $400K. Apache 2.0.