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ComfyDeploy: How ComfyUI-UltraPixel works in ComfyUI?
What is ComfyUI-UltraPixel?
Implementation of UltraPixel on ComfyUI
How to install it in ComfyDeploy?
Head over to the machine page
- Click on the "Create a new machine" button
- Select the
Edit
build steps - Add a new step -> Custom Node
- Search for
ComfyUI-UltraPixel
and select it - Close the build step dialig and then click on the "Save" button to rebuild the machine
ComfyUI-UltraPixel (WIP)
ComfyUI node for UltraPixel
<br/>ComfyUI-UltraPixel was constructed using the original code from https://github.com/catcathh/UltraPixel, I'm intend on eventually rewriting ComfyUI-UltraPixel with much better integration with ComfyUI's native code vs basically ComfyUI-UltraPixel just being a 'modified wrapper' around the original UltraPixel code as it is now. This might take some time as some rather important life events have just happened and I need to dedicate my time to them accordingly, I hope you all understand.
<br/>Now works <i>(as of 7/17)</i> with 10GB/12GB/16GB GPUs:
- 10GB GPUs work up to <i>(about)</i> 2048x2048 <i>(for text2image and controlnet)</i>
- 12GB GPUs work up to <i>(about)</i> 3072x3072 <i>(for text2image and controlnet)</i>
- 16GB GPUs work up to <i>(about)</i> 4096x4096 <i>(for text2image)</i> and 3840x4096 <i>(for controlnet)</i>
Install by git cloning this repo to your ComfyUI custom_nodes directory.
git clone https://github.com/2kpr/ComfyUI-UltraPixel
Install the requirements from within your conda/venv.
pip install -r requirements.txt
Load one of the provided workflow json files in ComfyUI and hit 'Queue Prompt'.
When the workflow first runs the first node will download all the necessary files into a ComfyUI/models/ultrapixel directory.<br/> <i>(make sure to update as there was an issue with downloading stage_b_lite_bf16.safetensors which was fixed here)</i>
To enable ControlNet usage you merely have to use the load image node in ComfyUI and tie that to the controlnet_image input on the UltraPixel Process node, you can also attach a preview/save image node to the edge_preview output of the UltraPixel Process node to see the controlnet edge preview. Easiest to just load the included workflow_controlnet.json file in ComfyUI.
As mentioned above the default directory for the UltraPixel and StableCascade downloaded model files is ComfyUI/models/ultrapixel, if you want to alter this you can now change ultrapixel_directory or stablecascade_directory in the UltraPixel Load node from 'default' to the full path/directory you desire.
Example Output for prompt: "A close-up portrait of a young woman with flawless skin, vibrant red lipstick, and wavy brown hair, wearing a vintage floral dress and standing in front of a blooming garden." <br/> <br/>
<img src="https://github.com/2kpr/ComfyUI-UltraPixel/blob/main/ComfyUI_00001_.png"> <br/> Example Output for prompt: A highly detailed, high-quality image of the Banff National Park in Canada. The turquoise waters of Lake Louise are surrounded by snow-capped mountains and dense pine forests. A wooden canoe is docked at the edge of the lake. The sky is a clear, bright blue, and the air is crisp and fresh. <br/> <br/> <img src="https://github.com/2kpr/ComfyUI-UltraPixel/blob/main/ComfyUI_00002_.png"> <br/> Example ControlNet Output for prompt: A close-up portrait of a young woman with flawless skin, vibrant red lipstick, and wavy brown hair, wearing a vintage floral dress and standing in front of a blooming garden, waving <br/> <br/> <img src="https://github.com/2kpr/ComfyUI-UltraPixel/blob/main/cn.png"> <br/> Example ControlNet Output for prompt: A close-up portrait of a young woman with blonde hair bobcut wearing a beautiful blue dress giving the thumbs up <br/> <br/> <img src="https://github.com/2kpr/ComfyUI-UltraPixel/blob/main/cn2.png">Credits:
All thanks to the team that made UltraPixel:<br/> https://jingjingrenabc.github.io/ultrapixel/<br/> https://arxiv.org/abs/2407.02158<br/> https://github.com/catcathh/UltraPixel<br/>