36 lines
1.8 KiB
Markdown
36 lines
1.8 KiB
Markdown
## TT KSampler *TT_KSamplerNode*
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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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Standard KSampler node with built-in latent preview support. Accepts model, conditioning, and latent as separate inputs.
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### Inputs
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| Parameter | Type | Required | Description |
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|------------------|--------------|----------|--------------------------------------------------|
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| `model` | MODEL | Yes | Diffusion model |
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| `positive` | CONDITIONING | Yes | Positive conditioning |
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| `negative` | CONDITIONING | Yes | Negative conditioning |
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| `latent` | LATENT | Yes | Input latent tensor |
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| `seed` | INT | Yes | Generation seed |
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| `steps` | INT | Yes | Number of sampling steps, default 30 |
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| `cfg` | FLOAT | Yes | Guidance scale, default 3.0 |
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| `sampler_name` | COMBO | Yes | Sampler algorithm |
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| `scheduler` | COMBO | Yes | Noise schedule |
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| `preview_latent` | BOOLEAN | No | Show step-by-step latent preview during sampling |
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### Outputs
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| Parameter | Type | Description |
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|-----------|--------|-----------------------|
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| `LATENT` | LATENT | Sampled latent tensor |
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### Usage
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Connect `MODEL`, `CONDITIONING`, and `LATENT` outputs from loader and encoder nodes. Enable `preview_latent` to see intermediate results during
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sampling.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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