Qwen-Image-2512-quants

Hippotes/Qwen-Image-2512-quants

Qwen-Image-2512-quants is a text-to-image model from Hippotes. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.

Update 19/02/26: uploaded v2 with some layers kept at BF16 and longer calibration (more steps, adjusted learning rate, etc). Clearly better than the first version I did, doesn't get "fuzzy" on edges or hair.

Downloads · 30 days

394

8% of all-time downloads

All-time downloads

4.8K

Public

Repo size

32.8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors32.8 GB · 100%

At a glance

Task: Text-to-Image
Library: diffusers
License: apache-2.0
Access: Public
Created: Feb 15, 2026
Updated: Jul 21, 2026
SHA: ae663314

Base models

Model card

From the Hugging Face model README

NVFP4 version of Qwen-Image-2512 and Qwen2.5-VL-7B-Instruct, both created from BF16 versions in Comfy-Org/Qwen repo. Made with Silveroxides/convert_to_quant script. Drop-in replacement in Comfy, there's a bit of quality loss as in nunchaku models or others nvfp4.

Conversion command: convert_to_quant -i qwen_image_2512_bf16.safetensors -o qwen-image2512-nvfp4.safetensors --nvfp4 --comfy_quant --qwen

⚠️ I strongly suspect a bottleneck somewhere (memory bandwidth? dequant ops?) that throttles the GPU down in some cases, running small batches instead of single image seems to remove it. I only have surface knowledge of this stuff and don't know how to troubleshoot it.

Batch of 4	Qwen-Image-2512-fp8	Qwen-Image-2512-nvfp4
Vanilla	194s (45.6s per image)	76s (18.3s per image)
Lightning	20.4s (5s per image)	7.5s (1.75s per image)

(wall time, on a 5090. Vanilla = 50 steps & CFG 4, Lightning = 8 steps & CFG 1 with Lightning lora)

Task: Text-to-Image
Library: diffusers
License: apache-2.0
Created: Feb 15, 2026
Updated: Jul 21, 2026