Issues Ssitu Comfyui Ultimatesdupscale Github I encountered this error while using comfyui. does it work on the cpu? looks like this is a pytorch issue relating to mac, and others have already discussed this in the comfyui repository. or try changing your pytorch version used by comfyui. it seems like people had success with pytorch 2.4.1. You can't install it in comfyui manager because it has a submodule (ultimate sd upscale) that is missing. the correct way to install it is to use the cmd command line to enter custom nodes and clone the project.
Module Pil Image Has No Attribute Resampling Issue 3 Ssitu Enter the following command from the commandline starting in comfyui custom nodes git clone github ssitu comfyui ultimatesdupscale recursive. you will need also a upscale model, in my case i'm using 4x ultrasharp, they are installed in. comfyui\models\upscale models. huggingface.co lokcx 4x ultrasharp tree main. Ultimatesdupscale view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). use .reshape ( ) instead. no response. please move this issue to the comfyui ultimatesdupscale repo. github ssitu comfyui ultimatesdupscale. your question how can i solve this issue?. I originally posted the idea here: github stability ai stablediffusion issues 378 but i guess, even without any training, this approach can be used within usdu. the idea at each moment, usdu works with only a part of an image. Also used this: git clone github ssitu comfyui ultimatesdupscale recursive cloning into 'comfyui ultimatesdupscale' remote: enumerating objects: 248, done.
Fail When Installing Issue 46 Ssitu Comfyui Ultimatesdupscale Github I originally posted the idea here: github stability ai stablediffusion issues 378 but i guess, even without any training, this approach can be used within usdu. the idea at each moment, usdu works with only a part of an image. Also used this: git clone github ssitu comfyui ultimatesdupscale recursive cloning into 'comfyui ultimatesdupscale' remote: enumerating objects: 248, done. 当前市面上有众多高清放大方案，但如果你不想繁琐，只想使用一个方案来应对大多数的需求场景，那就用本文介绍的这款在 comfyui 环境中，基于 flux.1 模型的高清放大解决方案——ultimatesdupscale。 高清放大， 高度忠于原图特征的细节增强。 在使用 ai 图像高清放大技术时，最关键的是 还原度，即在放大过程中， 如何在保留原始图像特征的同时，确保新增细节与原图的高度融合。 高还原度：在放大图像时，最大程度保留原始细节。 强大的细节重塑能力：有效增强图像细节，使其更加清晰。 广泛的模型支持：兼容 flux.1 和 sd 系列模型，确保高质量输出。 细微元素变化：由于全图参与采样，细小的文字或图案可能发生变化，不适用于对这些元素有严格还原要求的场景。. The new update of comfyui: v0.3.10 28 gcaa6476a (2025 01 03) and comfyui manager [3.0.1] (2025 01 03) seems to have broken your package. fyi i had to fully install from git & cmdline to fix it. file "d:\comfyui windows portable\comfyui\custom nodes\comfyui manager\glob\manager server.py", line 471, in update all. Download: git clone ' github ssitu comfyui ultimatesdupscale' 100%| | 43.0 43.0 [00:00<00:00, 61.35it s] 100%| | 26.0 26.0 [00:00<00:00, 37.04it s].
Issue With Spandrel Dependency In Install Py Issue 89 Ssitu 当前市面上有众多高清放大方案，但如果你不想繁琐，只想使用一个方案来应对大多数的需求场景，那就用本文介绍的这款在 comfyui 环境中，基于 flux.1 模型的高清放大解决方案——ultimatesdupscale。 高清放大， 高度忠于原图特征的细节增强。 在使用 ai 图像高清放大技术时，最关键的是 还原度，即在放大过程中， 如何在保留原始图像特征的同时，确保新增细节与原图的高度融合。 高还原度：在放大图像时，最大程度保留原始细节。 强大的细节重塑能力：有效增强图像细节，使其更加清晰。 广泛的模型支持：兼容 flux.1 和 sd 系列模型，确保高质量输出。 细微元素变化：由于全图参与采样，细小的文字或图案可能发生变化，不适用于对这些元素有严格还原要求的场景。. The new update of comfyui: v0.3.10 28 gcaa6476a (2025 01 03) and comfyui manager [3.0.1] (2025 01 03) seems to have broken your package. fyi i had to fully install from git & cmdline to fix it. file "d:\comfyui windows portable\comfyui\custom nodes\comfyui manager\glob\manager server.py", line 471, in update all. Download: git clone ' github ssitu comfyui ultimatesdupscale' 100%| | 43.0 43.0 [00:00<00:00, 61.35it s] 100%| | 26.0 26.0 [00:00<00:00, 37.04it s].
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