ComfyUI-ZImageDit
What is this ?
- an Alpha repo: unofficial diffusers integration of the official SDNQ pipeline to run in ComfyUI ...because i wanted to compare quality and be even more vram savy
Notes:
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use only sdnq nodes wich you might have to install manually , the other stuf is experimental and does not work
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install_sdnq.bat might help on windows because it looks like their toml file has an issue with license (open inside the bat and change paths)
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for flash attention find a whl, I did not bother yet as it's ok-ish hint, kijai has this one,
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compile does not work
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you might need to install the latest diffusers manually via git to support the pipeline (from the embedded python folder): python.exe -m pip install git+https://github.com/huggingface/diffusers.git
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check requirements for what is needed (quanto is not needed but you might have trouble as there are multiple nodes here)
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weights are downloaded by diffusers on first run for sdnq nodes
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some option dont work or i did not finish porting, test.
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only tested on windows
- Platform: Windows
- Python version: 3.12.10 (tags/v3.12.10:0cc8128, Apr 8 2025, 12:21:36) [MSC v.1943 64 bit (AMD64)]
- pytorch version: 2.8.0+cu128
- xformers version: 0.0.32.post2
- Set vram state to: NORMAL_VRAM
- Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
- ComfyUI version: 0.3.75
- ComfyUI frontend version: 1.33.8
- Total VRAM 10240 MB, total RAM 32560 MB
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if you are on linux you are smart enought to know what to do
Enjoy! Enrico aka ErosDiffusion
ps.: you might have issues installing, but I have no time to support :D
note: this does not use memory management from comfy, so use carefully. memory footprint is around 7gb vram more or less, you can safely run up to 2048x2048