ComfyUI-UltraPixel (WIP)

All thanks to the team that made UltraPixel:
https://jingjingrenabc.github.io/ultrapixel/
https://arxiv.org/abs/2407.02158
https://github.com/catcathh/UltraPixel

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.
(make sure to update as there was an issue with downloading stage_b_lite_bf16.safetensors which was fixed here)

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.

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."

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.


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


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