30 lines
1.5 KiB
Markdown
30 lines
1.5 KiB
Markdown
## TT Clip Text Encode Flux2 (Context) *TT_ClipTextEncodeFlux2Context*
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*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
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Context-based text prompt encoder for FLUX2 models. Extracts model, CLIP, and prompt configuration directly from a TT_CONTEXT object.
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### Inputs
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| Parameter | Type | Required | Description |
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|-----------|------------|----------|---------------------------------------------------------------------------------------|
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| `context` | TT_CONTEXT | Yes | Context object containing `model`, `clip`, and `workflow_config` with prompt settings |
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### Outputs
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| Parameter | Type | Description |
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|-----------|------------|----------------------------------------------------|
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| `CONTEXT` | TT_CONTEXT | Updated context with `guider` written back into it |
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| `GUIDER` | GUIDER | Configured guider with encoded prompt and guidance |
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### Usage
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Context-aware version of the FLUX2 text encoder. Instead of individual inputs, it reads `model`, `clip`, and
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`workflow_config` (containing `prompt`, `lora_triggers`, and `guidance`) from the passed `context`. The resulting
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guider is both returned as an output and stored back into the context under the `guider` key. Raises an error if
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any of the required fields are missing from the context.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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