accelerate numpy>=1.23.5 kornia>=0.7.0 insightface>=0.7.3 opencv-python>=4.8.1.78 tqdm>=4.66.1 matplotlib>=3.7.4 webdataset>=0.2.79 wandb>=0.16.2 munch>=4.0.0 onnxruntime>=1.16.3 einops>=0.7.0 onnx2torch>=1.5.13 warmup-scheduler @ git+https://github.com/ildoonet/pytorch-gradual-warmup-lr.git torchtools @ git+https://github.com/pabloppp/pytorch-tools
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.
Now works (as of 7/17) with 10GB/12GB/16GB GPUs:
Install by git cloning this repo to your ComfyUI custom_nodes directory.
git clone https://github.com/2kpr/ComfyUI-UltraPixelInstall the requirements from within your conda/venv.
pip install -r requirements.txtLoad 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.
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.”
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
All thanks to the team that made UltraPixel:
https://jingjingrenabc.github.io/ultrapixel/
https://arxiv.org/abs/2407.02158
https://github.com/catcathh/UltraPixel