ComfyUI Node: MotionGPT Text2Motion

MotionGPT Text2Motion:

The mgpt_t2m node is designed to convert textual descriptions into motion data using the MotionGPT model. This node leverages advanced AI to interpret and generate human motion sequences based on the provided text prompts. It is particularly useful for AI artists and animators who want to create realistic and complex motion sequences without manually animating each frame. By inputting a descriptive text, the node processes this information and outputs motion data that can be used in various animation and simulation applications. This capability allows for a more intuitive and efficient workflow in creating dynamic and lifelike animations.

MotionGPT Text2Motion Input Parameters:

mgpt_model

This parameter specifies the MotionGPT model to be used for generating the motion data. The model is pre-trained and contains the necessary algorithms to interpret text and produce corresponding motion sequences.

motion_length

This integer parameter defines the length of the motion sequence to be generated. It ranges from a minimum of 1 to a maximum of 196, with a default value of 196. Adjusting this value will impact the duration and complexity of the generated motion, allowing for shorter or longer sequences as needed.

seed

The seed parameter is an integer used to initialize the random number generator for reproducibility. It ranges from 0 to 0xffffffffffffffff, with a default value of 0. Setting a specific seed ensures that the same input text will always produce the same motion sequence, which is useful for consistency in animations.

text

This string parameter is the textual description of the motion you want to generate. It supports multiline input and has a default value of "make the person jump and turn around". The text should be descriptive enough to convey the desired motion, as it directly influences the output motion data.

MotionGPT Text2Motion Output Parameters:

motion_data

The output parameter motion_data contains the generated motion data in the form of joint coordinates. This data represents the motion sequence described by the input text and can be used in animation software to create realistic movements. The output is structured as a dictionary with joint positions that can be easily integrated into various animation pipelines.

MotionGPT Text2Motion Usage Tips:

• Ensure your text descriptions are clear and detailed to achieve the best results from the MotionGPT model.
• Experiment with different seed values to explore variations in the generated motion sequences.
• Adjust the motion_length parameter to fit the specific needs of your animation project, whether you need a short action or a longer sequence.

MotionGPT Text2Motion Common Errors and Solutions:

"Model not loaded"

• Explanation: This error occurs when the MotionGPT model is not properly loaded or initialized.
• Solution: Ensure that the mgpt_model parameter is correctly set and that the model is properly loaded before running the node.

"Invalid motion length"

• Explanation: This error happens if the motion_length parameter is set outside the allowed range.
• Solution: Verify that the motion_length is within the range of 1 to 196 and adjust it accordingly.

"Text input is empty"

• Explanation: This error occurs when the text parameter is left empty.
• Solution: Provide a descriptive text input to guide the motion generation process.

"Seed value out of range"

• Explanation: This error occurs if the seed parameter is set outside the valid range.
• Solution: Ensure that the seed value is within the range of 0 to 0xffffffffffffffff and adjust it if necessary.