I always see posts arguing wether ZIT or Klein have best realism, but I am always surprised when I don’t see mention Qwen-Image2512 or Wan2.2, which are still to this day my two favorite models for T2I and general refining. I always found QwenImage to respond insanely well to LoRAs, its a very underrated model in general…
All the images in this post where made using Qwen-Image2512 (fp16/Q8) with the Lenovo LoRA on Civit by Danrisi with the RES4LYF nodes.
You can extract the wf for the first image by dragging this image into ComfyUI.
submitted by /u/000TSC000
[link] [comments]
Page: https://ernie-research.github.io/NAVA/ Model: https://huggingface.co/ernie-research/NAVA Github: https://github.com/ernie-research/NAVA NAVA is a 6.3 B-parameter joint audio-video generator that…
Editor’s Note: This blog post was written by Greg Little, Senior Counselor at Palantir, with…
By Oleksii Tkachuk, Kartik Sathyanarayanan, Rajiv ShringiIntroductionNetflix has a diverse range of graph use cases, each…
Deploying large language models (LLMs) at scale on Amazon SageMaker AI Inference makes observability a…
Welcome to the second Cloud CISO Perspectives for May 2026. Today, Usman Chaudhary, Field CISO,…
Dads are traditionally tough to shop for—let me help with these handpicked gift ideas for…