Introducing Images 2.6
Images 2.6 brings faster image generation, GIF creation, more precise editing, and new API controls across ChatGPT, Codex, and the API.
Image generation
All topicsThe front line of AI images: text-to-image model updates, image editing and the tools around them.
8selectedRelated topicsAI videoMultimodalProduct updates
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1–8 of 8Nov 5
Oct 16
Black Forest Labs' open-weights image model FLUX 3 Image Klein runs on consumer GPUs with just 8 GB of VRAM
Black Forest Labs has released FLUX 3 Image Klein, a 5.6-billion-parameter open-weights image model that supports native 4K generation, pixel-precise editing, and generation with up to ten reference images. With 38 percent fewer parameters than its predecessor, it still outperforms proprietary competitors in internal tests and runs on GPUs with just 8 GB of VRAM.
Oct 15
Welcome FLUX.3 Image Klein in Diffusers
Black Forest Labs FLUX.3 Image Klein is here, and it runs in Diffusers from day one. One model does text-to-image and multi-reference image-to-image, and it adds something new, the layout control.
Oct 14
llm-meta-ai 0.2
Release: llm-meta-ai 0.2 Meta AI release Muse Wonder (and Muse Wonder Full), their new "most capable models". These look like they may be Meta's first Fable class models - Artificial Analysis scores Muse Wonder (Max) as equivalent to GPT-6.1 Sol. I updated my llm-meta-ai plugin for the new model.
Sep 8
Introducing ChatGPT Images 2.5
ChatGPT Images 2.5 helps turn your ideas, sketches, and reference photos into more personalized, polished images that better reflect your ideas.
Jul 23
Bringing Nunchaku 4-bit Diffusion Inference to Diffusers
Hugging Face introduced Nunchaku Lite into Diffusers, allowing Nunchaku quantised checkpoints to load directly with from_pretrained(), without custom pipelines or local CUDA compilation.
Jul 1
Start building with Nano Banana 2 Lite and Gemini Omni Flash
Google DeepMind released Nano Banana 2 Lite (gemini-3.1-flash-lite-image) and Gemini Omni Flash (gemini-omni-flash-preview).
Apr 23
It's all about the angle: Your photos, re-composed
Google Research introduced a new method in Google Photos’ Auto frame to change camera viewpoints after a photo is taken. An internal 3D point-map estimation model reconstructs the scene and focal length, then a generative latent diffusion model fills gaps exposed by the new view. It automatically detects faces and wide-angle distortion to suggest ideal framing.