godlockin / comfyui-portrait-master

ComfyUI Portrait Master

This node was designed to help AI image creators to generate prompts for human portraits.

Install

To install comfyui-portrait-master in addition to an existing installation of ComfyUI, you can follow the following steps:

1. open the terminal on the ComfyUI installation folder
2. digit: cd custom_nodes
3. digit: git clone https://github.com/florestefano1975/comfyui-portrait-master
4. restart ComfyUI

We recommend the use of ComfyUI Manager to install the additional custom nodes needed for the workflow.

Update

To install comfyui-portrait-master in addition to an existing installation of ComfyUI, you can follow the following steps:

1. open the terminal on the ComfyUI installation folder
2. digit: cd custom_nodes
3. digit: cd comfyui-portrait-master
4. digit: git pull
5. restart ComfyUI

Available Options

• shot: sets the shot type
• shot_weight: coefficient (weight) of the shot type
• gender: sets the character's gender
• nationality_1: sets first ethnicity
• nationality_2: sets second ethnicity
• nationality_mix: controls the mix between nationality_1 and nationality_2, according to the syntax [nationality_1: nationality_2: nationality_mix]. This syntax is not natively recognized by ComfyUI; we therefore recommend the use of comfyui-prompt-control. This feature is still being tested
• eyes_color: set the eyes color
• hair_color: set the hair color
• facial_expression: sets the character's expression
• facial_expression_weight: coefficient (weight) of the expression
• face_shape: sets the character's face shape
• face_shape_weight: coefficient (weight) of the face shape
• facial_asymmetry: coefficient (weight) to set the asymmetry of the face
• hairs_style: hairstyle selector
• disheveled: coefficient (weight) of the disheveled effect
• age: the age of the subject portrayed
• skin_details: coefficient (weight) of the skin detail
• skin_pores: coefficient (weight) of the skin pores
• dimples: coefficient (weight) for controlling facial dimples
• freckles: coefficient (weight) of the freckles
• moles: coefficient (weight) for the presence of moles on the skin
• skin_imperfections: coefficient (weight) to introduce skin imperfections
• eyes_details: coefficient (weight) for the general detail of the eyes
• iris_details: coefficient (weight) for the iris detail
• circular_iris: coefficient (weight) to increase or force the circular shape of the iris
• circular_pupil: coefficient (weight) to increase or force the circular shape of the pupil
• light_type: set global illumination
• light_direction: set the direction of the light. This feature is still being tested
• photorealism_improvement: experimental option to improve photorealism and the final result
• prompt_start: portion of the prompt that is inserted at the beginning
• prompt_additional: portion of the prompt that is inserted at an intermediate point
• prompt_end: portion of the prompt that is inserted at the end
• negative_prompt: the negative prompt has been integrated into the node to be adequately controlled depending on the settings

Parameters with null value (-) or set to 0.00 are not included in the prompt generated.

The node generates two output string, postive and negative prompt.

Customizations

The lists subfolder contains the .txt files that generate the lists for some node options. You can open files and customize voices.

Practical advice

Using high values for the skin and eye detail control parameters may override the setting for the chosen shot. In this case it is advisable to reduce the parameter values for the skin and eyes, or insert in the negative prompt (closeup, close up, close-up:1.5), modifying the weight as needed.

For total control of the pose, use the ControlNet nodes integrated into the workflow, setting the shot parameter to null (-).

Workflow

The portrait-master-controlnet-workflow.json file contains the workflow designed to work properly with Portrait Master.

An upscaler and ControlNet have been integrated to manage the pose of the characters. I inserted 2 switches to disable the upscaler and control if necessary. The coloring of the nodes will help you understand how the switches affect the workflow.

For the correct functioning of ControlNet with SDXL checkpoints, download the control-lora-openposeXL2-rank256.safetensors file from this link and copy it into the ./models/controlnet/ folder of ComfyUI.

There are some files that can be used with ControlNet in the Portrait Master openpose folder. To generate other poses use the free portal https://openposeai.com/

Workflow performances

The workflow is designed to obtain the right balance between quality and generative performance. You can vary the KSampler parameters to suit your needs. Tested on Google Colab, the workflow generates a high-resolution image in 60 seconds with V100 GPU and in 30 seconds with A100 GPU.

Examples

In the future, several example images in PNG format will be uploaded to the examples folder, which can be uploaded to ComfyUI to use their settings.

SDXL Turbo

ComfyUI Portrait Master also works correctly with SDXL Turbo.

https://www.youtube.com/watch?v=9UbtfEH_iSk

Notes

When the generation of an image is started in the console you can read the complete prompt created by the node.

The effectiveness of the parameters depends on the quality of the checkpoint used.

For advanced photorealism we recommend FormulaXL 2.0.