ComfyUI Node: MiniMax H3 Prompt Enhancer (Cloud / Local GGUF)

MiniMax H3 Prompt Enhancer (Cloud / Local GGUF):

The MiniMaxH3PromptEnhancerT8 is a sophisticated node designed to enhance prompts by leveraging the capabilities of visual language models (LLMs) in either cloud or local environments. Its primary function is to transform a given prompt into a more structured and enriched format, suitable for use with the MiniMax-H3 framework. This node is particularly beneficial for AI artists and creators who aim to generate high-quality video content, as it refines the prompt to align with the official MiniMax-H3 T2VA, I2VA, and FL2VA standards. By doing so, it ensures that the resulting video content is coherent and contextually relevant, taking into account various creative presets and constraints. The node's ability to integrate media references and adhere to specific creative skills makes it an invaluable tool for enhancing the narrative and visual appeal of AI-generated videos.

MiniMax H3 Prompt Enhancer (Cloud / Local GGUF) Input Parameters:

prompt

The prompt parameter is the initial text input that you wish to enhance. It serves as the foundation for the node's processing, and its content will be transformed into a more structured and enriched format. The quality and clarity of the initial prompt can significantly impact the final output.

task_type

The task_type parameter specifies the nature of the task for which the prompt is being enhanced. It helps the node tailor its processing to suit specific requirements, ensuring that the output aligns with the intended use case.

duration_seconds

The duration_seconds parameter defines the length of the video content that the enhanced prompt will be used for. This parameter ensures that the prompt is appropriately scaled to fit the desired video duration.

rewrite_mode

The rewrite_mode parameter determines the approach used to enhance the prompt. Different modes may apply varying levels of transformation, from minor adjustments to complete rewrites, depending on the creative needs.

description_word_target

The description_word_target parameter sets a target word count for the enhanced prompt's description. This helps maintain a balance between detail and brevity, ensuring the prompt is informative yet concise.

output_language

The output_language parameter specifies the language in which the enhanced prompt will be generated. This allows for customization based on the target audience's language preferences.

prompt_mode

The prompt_mode parameter influences the style and tone of the enhanced prompt, aligning it with specific creative or narrative goals.

official_skill_profile

The official_skill_profile parameter selects a predefined set of creative skills to guide the enhancement process, ensuring the output adheres to established MiniMax-H3 standards.

creative_preset

The creative_preset parameter applies a specific creative profile to the enhancement process, tailoring the output to match particular artistic or thematic styles.

reference_template

The reference_template parameter provides a structural framework for the enhanced prompt, ensuring consistency and coherence in the output.

first_frame

The first_frame parameter indicates the starting point of the video content, helping to align the enhanced prompt with the visual narrative.

last_frame

The last_frame parameter marks the endpoint of the video content, ensuring the enhanced prompt covers the entire intended visual sequence.

reference_images

The reference_images parameter allows for the inclusion of visual references that the enhanced prompt can incorporate, enriching the narrative with relevant imagery.

reference_videos

The reference_videos parameter provides video references that can be integrated into the enhanced prompt, adding depth and context to the narrative.

reference_context

The reference_context parameter supplies additional contextual information that the node can use to refine the prompt, ensuring it is contextually accurate and relevant.

constraints

The constraints parameter defines specific limitations or requirements that the enhanced prompt must adhere to, ensuring it meets all necessary criteria.

api_key

The api_key parameter is used for authentication purposes when accessing cloud-based LLM services, ensuring secure and authorized usage.

api_mode

The api_mode parameter specifies whether the node operates in cloud or local mode, determining the source of the LLM processing.

openai_base_url

The openai_base_url parameter provides the base URL for accessing OpenAI services, facilitating integration with external LLM resources.

openai_video_urls

The openai_video_urls parameter lists URLs of video content that can be referenced in the enhanced prompt, enriching the narrative with external media.

seed

The seed parameter sets a random seed for the enhancement process, ensuring reproducibility of results across different runs.

shot_count

The shot_count parameter specifies the number of shots or scenes the enhanced prompt should cover, aligning it with the intended video structure.

ai_workshop_model

The ai_workshop_model parameter selects a specific AI model for the enhancement process, tailoring the output to the model's capabilities.

custom_model

The custom_model parameter allows for the use of a user-defined model, providing flexibility in the enhancement process.

case_template

The case_template parameter applies a specific case or community template to the enhancement process, ensuring the output aligns with particular thematic or stylistic goals.

local_model

The local_model parameter specifies the local model to be used for processing, enabling offline enhancement capabilities.

local_mmproj

The local_mmproj parameter provides a local project file for reference, ensuring the enhanced prompt aligns with existing project parameters.

local_context_size

The local_context_size parameter defines the context size for local processing, ensuring the enhanced prompt is appropriately scaled for the available resources.

MiniMax H3 Prompt Enhancer (Cloud / Local GGUF) Output Parameters:

result

The result parameter is the final enhanced prompt output, which has been transformed to meet the specified creative and contextual requirements. This output is ready for use in generating high-quality video content, ensuring coherence and relevance to the initial input and media references.

MiniMax H3 Prompt Enhancer (Cloud / Local GGUF) Usage Tips:

• Ensure your initial prompt is clear and concise to achieve the best enhancement results.
• Utilize the creative_preset parameter to align the enhanced prompt with specific artistic styles or themes.
• Leverage reference_images and reference_videos to enrich the narrative with relevant visual content.

MiniMax H3 Prompt Enhancer (Cloud / Local GGUF) Common Errors and Solutions:

"failed"

• Explanation: This error occurs when the enhancement process encounters an unexpected issue, possibly due to incorrect input parameters or network issues.
• Solution: Verify that all input parameters are correctly set and that your network connection is stable. If the issue persists, check for any updates or patches for the node.

"output_finalized"

• Explanation: This message indicates that the enhancement process has completed successfully, but if no output is generated, it may suggest an issue with the input data.
• Solution: Ensure that your input prompt and media references are correctly formatted and relevant to the task. Re-run the process with adjusted parameters if necessary.