<h3 id="stop-copy-pasting-lora-trigger-words!"> Stop Copy-Pasting LoRA Trigger Words!</h3>Tired of alt-tabbing back to Civitai to find the exact activation tags for a LoRA you downloaded last week? This lightweight, zero-dependency custom node automates the entire process directly on your ComfyUI canvas.It reads your local <code>.civitai.info</code> metadata files on the fly, extracts the official Trained Words specified by the creator, combines them with your base prompt text, and natively encodes everything into <code>CONDITIONING</code> data ready for your KSampler.<h3 id="key-features">Key Features</h3><ul><li>Native Conditioning Output: Replaces the standard CLIP Text Encode node entirely. It tokenizes and encodes your prompt with proper SDXL/Flux pooled output tensors seamlessly.</li><li>Dynamic Prompt Mixing (3 Modes):<ul><li><code>Append to End</code>: Keeps your core prompt first, adding Civitai tags at the end.</li><li><code>Prepend to Start</code>: Forces trigger words to the absolute front of the prompt string for maximum mathematical weight in the sampler (Perfect for heavy style/morph LoRAs!).</li><li><code>Only Output Triggers</code>: Isolates and extracts the raw tags to pass downstream.</li></ul></li><li>Fail-Safe Design: If a LoRA is missing its <code>.civitai.info</code> metadata file, the node gracefully passes your base text through without throwing errors or breaking your generation queue</li></ul><h3 id="quick-connection-guide">Quick Connection Guide</h3><ol><li>Route your Checkpoint/LoRA CLIP output (yellow dot) straight into the <code>clip</code> input of this node.</li><li>Type your core descriptive prompt into the node's text box.</li><li>Select your target LoRA from the dropdown.</li><li>Connect the orange <code>conditioning</code> output dot directly into the <code>positive</code> input of your KSampler.</li></ol>(Tip: Set the action dropdown to Prepend to Start if you want the LoRA's style to hit with maximum intensity! See the car preview images for a side-by-side comparison of Append vs Prepend.)

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