ComfyUI
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The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
I assume this is a typo, because `possible_module` can be `__pycache__` but `module_path` is the full path and never be `__pycache__`.
It's a clear comfyui windows portable, with RTX4060 8GB,win10 ,not work But it works well at other computers(with RTX3060,win10) Traceback (most recent call last): File "D:\ComfyUI_Portable\ComfyUI\main.py", line 205, in server...
I'm using 2 ComfyUIs. One with Stability Matrix and another one with just portable version. I could manage the models that are used in Automatic1111, and they work fine, which...
Quite a few changes in here for this update, been working on it for a while and any feedback would be greatly appreciated. I've tried to make this as backwards...
The images generated by the newly installed Mac M1 Pro are normal. Later, when trying Krita's real-time painting, I was unsure if there was an error downloading the plugin or...
Device : Mac Studio | M2Max | 64GB ram OS: MAC OS Sonoma Comfyui: Lastest Version Models: SDXL 1.0 - Tried different versions of Python and used a venv virtual...
I'm using comfyUI on a Mac M1 computer I use the workflow provided by default, but no matter what model I use, the resulting pictures are always blurry and gray,...
Has anyone encountered the issue of generating blank images with ComfyUI? Mac M2, when loading the default workflow. The startup command is not using "python [main.py](https://main.py/) --force-fp16" because it crashes...
Error occurred when executing CheckpointLoaderSimple: unet_dtype() got an unexpected keyword argument 'supported_dtypes' File "E:\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, in get_output_data...
I have been getting mat1 and mat2 must have same dtype but got half and float, Layenormalkernal not implemented for half errors consistently for as far back as I can...