41 lines
2.5 KiB
Markdown
41 lines
2.5 KiB
Markdown
## TT KSampler (Advanced) *TT_KSamplerAdvancedNode*
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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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Extended KSampler with fine-grained control over noise, denoising range, and step boundaries. Useful for multi-stage workflows and img2img.
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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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| `add_noise` | BOOLEAN | Yes | Random Noise — use random noise; Zero Noise — use zeros |
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| `full_denoise` | BOOLEAN | Yes | Complete — force full denoise; Partial — stop early |
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| `denoise` | FLOAT | Yes | Denoising strength, default 1.0 |
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| `seed` | INT | Yes | Generation seed |
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| `steps` | INT | Yes | Total number of sampling steps, default 30 |
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| `cfg` | FLOAT | Yes | Guidance scale, default 3.0 |
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| `start_step` | INT | No | Step to start sampling from, default 0 |
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| `last_step` | INT | No | Step to stop sampling at, default 10000 |
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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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Use `start_step` and `last_step` to run only a portion of the schedule — useful for chaining two samplers in a draft/refine workflow. Set `add_noise`
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to Zero Noise when passing a pre-noised latent from a previous stage.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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