V 1.0-1.1A WAN upscaling WF that with a standard 832x1216 image takes about 150-180 secs on my 12GB 3060 with 32GB RAM. I tried to keep it as simple as possible. Lower denoise for end-results closer to the original, increase for more creative ones. I use it to improve the overall quality of Chroma and Qwen-img low step/reduced resolution images (much faster generation).V 1.2KJ Sage attention patch node stopped working at comfy version 0.3.59. If you select v. 0.3.58 it still works. Alternatively you can bypass it (ctrl+B) and load sage attention at startup but that still causes the black picture bug with Qwen-image. On a different note this i2i wf does a better job at preserving the original's features at low denoise (0.15-0.2) and improves the overall image quality. It uses the quantized version of wan2.2-t2v-rapid-aio-v10-nsfw.safetensors that can be found here: <a target="_blank" rel="ugc" href="https://huggingface.co/befox/WAN2.2-14B-Rapid-AllInOne-GGUF/tree/main/v10">https://huggingface.co/befox/WAN2.2-14B-Rapid-AllInOne-GGUF/tree/main/v10</a>Depending on how much VRAM you have download the appropriate version.

WAN2.2_I2I_upscale

KJ Sage attention patch node stopped working at comfy version 0.3.59. If you select v. 0.3.58 it still works. Alternatively you can bypass it (ctrl+B) and load sage attention at startup but that still causes the black picture bug with Qwen-image. On a different note this i2i wf does a better job at preserving the original's features and improves the overall image quality. It uses the quantized version of wan2.2-t2v-rapid-aio-v10-nsfw.safetensors that can be found here: <a target="_blank" rel="ugc" href="https://huggingface.co/befox/WAN2.2-14B-Rapid-AllInOne-GGUF/tree/main/v10">https://huggingface.co/befox/WAN2.2-14B-Rapid-AllInOne-GGUF/tree/main/v10</a>Depending on how much VRAM you have download the appropriate version.

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