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2026.10.17 · Sat

#图像生成

#图像生成

First-party

Direct announcements from model vendors, companies and research institutions on their official sites, blogs and accounts.

10/15Thu
  1. Hugging Face Blog79

    Welcome FLUX.3 Image Klein in Diffusers

    Black Forest Labs’ FLUX.3 Image Klein launches with day-one Diffusers support for text-to-image generation, multi-reference image-to-image generation, and bounding-box layout control. Open checkpoints include a distilled model using 16 steps without CFG and a base model using 50 steps with CFG; the distilled model generated a 1024 × 1024 image in 1.93 s on an H100 in the reported benchmark. Hugging Face provides quantized loading examples, LoRA training scripts, and workflows for customizing its Modular Diffusers pipeline.

    Why it matters: The runtime measurements and quantization guidance help developers assess hardware requirements, including how reference images increase generation time and when lower precision reduces memory without improving speed.

9/10Thu
9/8Tue
  1. OpenAI News60

    OpenAI releases ChatGPT Images 2.5

    OpenAI has released ChatGPT Images 2.5, which turns ideas, sketches, and reference photos into more personalized, polished images that better match what users had in mind.

    Why it matters: OpenAI's official launch of ChatGPT Images 2.5 gives readers an update on its positioning and input options for personalized image generation.

7/23Thu
  1. Hugging Face Blog62

    Diffusers adds native support for Nunchaku 4-bit diffusion inference

    Hugging Face has added Nunchaku Lite to Diffusers, allowing users to load Nunchaku SVDQuant 4-bit checkpoints directly with `from_pretrained()` without a custom pipeline or local CUDA compilation.

    Why it matters: The article reports how to load Nunchaku Lite in Diffusers, along with VRAM and latency comparisons, helping readers assess the practical requirements for running diffusion models on consumer GPUs.

7/1Wed
  1. Google DeepMind78

    Google DeepMind releases Nano Banana 2 Lite and Gemini Omni Flash

    Google DeepMind has released Nano Banana 2 Lite and Gemini Omni Flash. The former is the fastest model in the Nano Banana family.

    Why it matters: Both models are available to developers, with details on latency, pricing, and capability limits to help assess the cost and usability of the image-to-video pipeline.

4/23Thu
  1. Google Research60

    Google Photos adds Auto frame, using generative AI to change the viewpoint within a photo

    Google Research has announced a way to adjust viewpoint after a photo is taken in Google Photos' Auto frame feature. It treats the photo as a 3D scene and automatically changes the virtual camera position and focal length. The two-step method first uses an internal 3D point-map estimation model to reconstruct people and faces and estimate the original camera focal length, then uses a generative latent-diffusion model to fill blank areas revealed by the new view. For photos with people, the feature now automatically offers a second, reconstructed version that can correct perspective distortion in wide-angle selfies.

    Why it matters: Google Photos combines 3D-scene estimation with generative inpainting, showing how a new post-capture viewpoint-editing workflow is implemented.

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