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Qwen Wan T2I 2K Upscale

22

272

3

Updated: Aug 8, 2025

style

Type

Workflows

Stats

274

0

Reviews

Published

Aug 8, 2025

Base Model

Wan Video 14B t2v

Hash

AutoV2
E02F9B79E9

This workflow extends the prompt adherence of Wan 2.2 by using qwen in the first stage at a low resolution. Brings remarkably good detail to low resolution outputs.

Hardware: RTX 3090 24GB

Models : Qwen Q4 GGUF + Wan 2.2 Low GGUF

Elapsed Time E2E (2k Upscale) : 300s cold start, 80-130s (0.5MP - 1MP)

Main Takeaway - Qwen Latents are compatible with Wan 2.2 Sampler

There are two stages:

1stage: (42s-77s). Qwen sampling at 0.75/1.0/1.5MP

2stage: (~110s): Wan 2.2 4 step

1st stage can go to VERY low resolutions. Haven't test 512x512 YET but 0.75MP works

* Text - text gets lost at 1.5 upscale , appears to be restored with 2.0x upscale. I've included a prompt from the Comfy Qwen blog

* Landscapes (Not tested)

* Cityscapes (Not tested)

Interiors (untested)

* Portraits - Closeups Not great (male older subjects fare better). Okay with full body, mid length. Ironically use 0.75 MP to smooth out features. It's obsessed with freckles. Avoid. This may be fixed by https://www.reddit.com/r/StableDiffusion/comments/1mjys5b/18_qwenimage_realism_lora_samples_first_attempt/ by the never sleeping u/AI_Characters