70 lines
1.7 KiB
Markdown
70 lines
1.7 KiB
Markdown
---
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type: NodeDoc
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title: Dual CLIP Text Encode Qwen
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description: Auto-generated node documentation.
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tags: [nodes, docs]
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---
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# Dual CLIP Text Encode Qwen
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* **Node ID:** `Sage_DualCLIPTextEncodeQwen`
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* **Category:** `Sage Utils/clip/encode/image`
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Turns a positive and negative prompt into conditionings, and passes through the prompts. Saves space over two Qwen Image Edit Text Encoders, and zeros any input not hooked up.
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## Inputs
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### `clip` — `CLIP`
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- **Name:** `clip`
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- **Description:** The CLIP model used for encoding the text.
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### `clean` — `BOOLEAN`
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- **Name:** `clean`
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- **Description:** Clean up the text, getting rid of extra spaces, commas, etc.
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### `vae` — `VAE` (optional)
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- **Name:** `vae`
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- **Description:** The VAE model used for encoding the reference image.
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### `pos` — `STRING` (optional)
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- **Name:** `pos`
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- **Description:** The positive prompt's text.
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### `neg` — `STRING` (optional)
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- **Name:** `neg`
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- **Description:** The negative prompt's text.
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### `pos_image` — `IMAGE` (optional)
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- **Name:** `pos_image`
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- **Description:** The positive prompt's image.
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### `neg_image` — `IMAGE` (optional)
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- **Name:** `neg_image`
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- **Description:** The negative prompt's image.
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## Outputs
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### `positive` — `CONDITIONING`
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- **Name:** `positive`
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- **Description:** A conditioning containing the embedded text used to guide the diffusion model.
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### `negative` — `CONDITIONING`
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- **Name:** `negative`
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- **Description:** A conditioning containing the embedded text used to guide the diffusion model.
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### `pos_text` — `STRING`
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- **Name:** `pos_text`
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- **Description:** The positive prompt's text.
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### `neg_text` — `STRING`
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- **Name:** `neg_text`
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- **Description:** The negative prompt's text.
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## Notes
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Generated from the node schema.
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