Added nodes TT_Flux2TextEncoderNode, TT_Flux2TextEncoderContextNode, TT_CannyEdgeDetectorNode, minor bugfixes, added docs, changed version

2026-03-05 02:39:43 +03:00
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+## TT FLUX2 Text Encoder *TT_Flux2TextEncoderNode*
+
+*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
+
+Encodes text prompts for FLUX2 models and returns a ready-to-use Guider object. Combines prompt and LoRA trigger words into a single conditioning
+step.
+
+### Inputs
+
+| Parameter       | Type   | Required | Description                                |
+|-----------------|--------|----------|--------------------------------------------|
+| `model`         | MODEL  | Yes      | Diffusion model                            |
+| `clip`          | CLIP   | Yes      | CLIP model for text encoding               |
+| `prompt`        | STRING | Yes      | Main generation prompt                     |
+| `lora_triggers` | STRING | No       | LoRA trigger words, appended to the prompt |
+| `guidance`      | FLOAT  | Yes      | Guidance scale (CFG), default 3.5          |
+
+### Outputs
+
+| Parameter | Type   | Description                                 |
+|-----------|--------|---------------------------------------------|
+| `GUIDER`  | GUIDER | Configured Guider with encoded conditioning |
+
+### Usage
+
+Connect to a sampler node that accepts a Guider input. The `lora_triggers` field is a convenience input — enter trigger words for any loaded LoRA
+models here instead of adding them manually to the main prompt.
+
+---
+
+[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)