ComfyUI Node
GLM-4.7
A ComfyUI node in Runware/Text/zai with 16 inputs and 1 output.
GLM-4.7
- messages
- text
◄seed0►
◄numberResults1►
◄includeUsagefalse►
◄settings.frequencyPenalty0.00►
◄settings.maxTokens32768►
◄settings.minP0.00►
◄settings.presencePenalty0.00►
◄settings.repetitionPenalty1.00►
◄settings.systemPrompt►
◄settings.temperature1.00►
◄settings.thinkingLevelnone►
◄settings.topK-1►
◄settings.topP0.95►
◄outputFormatTEXT►
◄advanced_json►
CategoryRunware/Text/zai
Inputs (16)
| Name | Type | Default | Description |
|---|---|---|---|
| messages | RUNWARE_MESSAGES | — | |
| seedopt | INT | 00–4294967295 | Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range. |
| numberResultsopt | INT | 11–4 | Number of results to generate. Each result uses a different seed, producing variations of the same parameters. |
| includeUsageopt | BOOLEAN | false | Include token usage statistics in the response. |
| settings.frequencyPenaltyopt | FLOAT | 0.000–2 | Penalizes tokens based on their frequency in the output so far. A value of 0.0 disables the penalty. |
| settings.maxTokensopt | INT | 327681–131072 | Maximum number of tokens to generate in the response. |
| settings.minPopt | FLOAT | 0.000–1 | Minimum probability threshold. Tokens with probability below this value are excluded from sampling. |
| settings.presencePenaltyopt | FLOAT | 0.000–2 | Encourages the model to introduce new topics. A value of 0.0 disables the penalty. |
| settings.repetitionPenaltyopt | FLOAT | 1.000–2 | Penalizes tokens that have already appeared in the output. A value of 1.0 disables the penalty. |
| settings.systemPromptopt | STRING | System-level instruction that guides the model's behavior and output style across the entire generation. | |
| settings.temperatureopt | FLOAT | 1.000–2 | Controls randomness in generation. Lower values produce more deterministic outputs, higher values increase variation and creativity. |
| settings.thinkingLevelopt | COMBO | none | Controls the depth of internal reasoning the model performs before generating a response. |
| settings.topKopt | INT | -1 | Top-K sampling parameter that limits the number of highest-probability tokens considered at each step. |
| settings.topPopt | FLOAT | 0.950–1 | Nucleus sampling parameter that controls diversity by limiting the probability mass. Lower values make outputs more focused, higher values increase diversity. |
| outputFormatopt | COMBO | TEXT | Output format for the generated text. |
| advanced_jsonopt | STRING | Optional JSON merged into the request. For: settings.stopSequences |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| text | STRING | — |