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Video : https://youtu.be/frv9YGRtWRQ

In this hands-on deep dive, we explore the newly released Qwen Image 2512—the latest open-source text-to-image AI model that’s making waves for its dramatic improvements in human realism, natural detail rendering, and text-on-image accuracy. I walk you through how to set it up locally in ComfyUI, including model file organization, VAE and text encoder requirements, GGUF quantization for low-VRAM systems, and how to use Lightning and Wooly Turbo LoRAs for faster generation. Plus, I test the model across three key categories: photorealism, mixed graphic styles, and text integration—using over 30 custom prompts generated with Qwen3Max.

This video is perfect for AI artists, ComfyUI users, prompt engineers, and indie creators who want to push the boundaries of local image generation without relying on commercial APIs. Whether you’re training LoRAs, building image-to-video pipelines, or optimizing workflows for realism and style fidelity, this guide gives you the practical setup and real-world benchmarks you need. If you’ve been frustrated by “plastic skin,” blurry backgrounds, or poor text rendering in previous models, Qwen Image 2512 might be your new go-to—and this video shows you exactly how to get started.

As one of the few open-source models competing with giants like Google’s Image Gen 4 and ByteDance’s Seed Dream 4.5, Qwen Image 2512 represents a major leap in democratizing high-quality AI image generation. With a 40% win rate in AI Arena evaluations and strong multilingual prompt support, it’s not just fast—it’s smart. Understanding how it performs—and how to run it efficiently—gives creators more control, privacy, and creative freedom. This isn’t just another model drop; it’s a shift in what’s possible on your own hardware.

HF - Qwen/Qwen-Image-2512 - Open Weights

https://huggingface.co/Qwen/Qwen-Image-2512

Qwen-Image-2512-BF16.safetensors (merge by myself)

https://huggingface.co/benjiaiplayground/Qwen-Image-2512-BF16/tree/main

Text encoder and VAE remain the same as previous Qwen Image AI Model

Comfy-Org - qwen_image_2512_bf16.safetensors

https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/diffusion_models/qwen_image_2512_bf16.safetensors

Comfy-Org - qwen_image_2512_fp8_e4m3fn.safetensors

https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/diffusion_models/qwen_image_2512_fp8_e4m3fn.safetensors

text_encoders

https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/text_encoders

vae

https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/vae

GGUF : https://huggingface.co/unsloth/Qwen-Image-2512-GGUF

Qwen-Image-2512-Lightning https://huggingface.co/lightx2v/Qwen-Image-2512-Lightning/tree/main

Qwen-Image-2512-Turbo-LoRA

https://huggingface.co/Wuli-art/Qwen-Image-2512-Turbo-LoRA

attached workflow and examples text prompts:

Files

Comments

MFox

oh, that was fast after 2511 has just dropped recently. :) Just wondering: what is the difference between your merge and the comfy-org one?