Qwen Wan T2I 2K Upscale
About this model
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 by the never sleeping u/AI_Characters
Tags
Related Models
Similar AI models you may like
ON-THE-FLY 实时生成!Wan-AI 万相/ Wan2.1 Video Model (multi-specs) - CausVid&Comfy&Kijai - workflow included
【WAN2.1】IMG to VIDEO
ComfyUI Image Workflows
WAN 2.2 Workflow T2V-I2V-T2I (Kijai Wrapper)
Hunyuan 🌻 AllInOne
Wan2.1_14B_FusionX
Moody Simple Zimage Turbo/Distilled Workflow