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]
A few weeks ago I introduced a new method for training style LoRAs which has…
When large language models, or LLMs for short, produce outputs, several criteria are at stake,…
Financial institutions process thousands of documents daily, including tax forms, loan statements, and purchase orders.…
aside_block <ListValue: [StructValue([('title', 'Summary of today’s news'), ('body', <wagtail.rich_text.RichText object at 0x7f00683723a0>), ('btn_text', ''), ('href',…
The bill requires companies like OpenAI, Anthropic, and Google to have third parties confirm they’re…
New research from the University of the Witwatersrand, South Africa, has significant implications for understanding…