ComfyUI Node

MiniMax M2.5

A ComfyUI node in Runware/Text/minimax with 19 inputs and 1 output.

By Runware·Created 2 years ago·Updated about a month ago· 140
MiniMax M2.5
  • messages
  • text
seed0
numberResults1
includeUsagefalse
settings.frequencyPenalty0.00
settings.maxTokens8192
settings.minP0.00
settings.presencePenalty0.00
settings.repetitionPenalty1.00
settings.splitThinkingfalse
settings.systemPrompt
settings.temperature1.00
toolChoicefalse
toolChoice.name
toolChoice.type(default)
settings.topK40
settings.topP0.95
outputFormatTEXT
advanced_json
CategoryRunware/Text/minimax

Inputs (19)

NameTypeDefaultDescription
messagesRUNWARE_MESSAGES
seedoptINT00–4294967295Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
numberResultsoptINT11–4Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
includeUsageoptBOOLEANfalseInclude token usage statistics in the response.
settings.frequencyPenaltyoptFLOAT0.000–2Penalizes tokens based on their frequency in the output so far. A value of 0.0 disables the penalty.
settings.maxTokensoptINT81921–196608Maximum number of tokens to generate in the response.
settings.minPoptFLOAT0.000–1Minimum probability threshold. Tokens with probability below this value are excluded from sampling.
settings.presencePenaltyoptFLOAT0.000–2Encourages the model to introduce new topics. A value of 0.0 disables the penalty.
settings.repetitionPenaltyoptFLOAT1.000–2Penalizes tokens that have already appeared in the output. A value of 1.0 disables the penalty.
settings.splitThinkingoptBOOLEANfalseWhen enabled, the model's internal reasoning is separated from the main response and returned in a dedicated `reasoningContent` field.
settings.systemPromptoptSTRINGSystem-level instruction that guides the model's behavior and output style across the entire generation.
settings.temperatureoptFLOAT1.000–2Controls randomness in generation. Lower values produce more deterministic outputs, higher values increase variation and creativity.
toolChoiceoptBOOLEANfalseEnable to set toolChoice. Off uses the model's default.
toolChoice.nameoptSTRINGName of the specific tool the model must call. Required when type is `tool`.
toolChoice.typeoptCOMBO(default)Strategy the model uses to decide when and which tools to call.
settings.topKoptINT401–100Top-K sampling parameter that limits the number of highest-probability tokens considered at each step.
settings.topPoptFLOAT0.950–1Nucleus sampling parameter that controls diversity by limiting the probability mass. Lower values make outputs more focused, higher values increase diversity.
outputFormatoptCOMBOTEXTOutput format for the generated text.
advanced_jsonoptSTRINGOptional JSON merged into the request. For: settings.stopSequences, tools

Outputs (1)

NameTypeDescription
textSTRING