34 lines
1.6 KiB
Markdown
34 lines
1.6 KiB
Markdown
## TT Guided Upscale KSampler *TT_GuidedUpscaleKSamplerNode*
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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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Runs guided diffusion sampling with optional latent upscaling after generation. Extends the standard Guided KSampler with a built-in upscale step.
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### Inputs
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| Parameter | Type | Required | Description |
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|----------------|---------|----------|----------------------------------------------------|
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| `latent` | LATENT | Yes | Input latent tensor |
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| `guider` | GUIDER | Yes | Configured Guider with conditioning |
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| `sigmas` | SIGMAS | Yes | Noise schedule |
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| `sampler` | SAMPLER | Yes | Sampler algorithm |
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| `random_noise` | NOISE | Yes | Noise generator with seed |
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| `scale_latent` | BOOLEAN | Yes | Enable latent upscaling after sampling |
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| `scale_factor` | COMBO | No | Upscale multiplier, default `1x` (advanced) |
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| `scale_method` | COMBO | No | Interpolation method, default `bicubic` (advanced) |
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### Outputs
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| Parameter | Type | Description |
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|-----------|--------|-----------------------|
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| `SAMPLES` | LATENT | Sampled latent tensor |
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### Usage
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Toggle `scale_latent` to enable upscaling after sampling. Scale factor and method are in advanced inputs. Use for hi-res fix workflows without a
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separate upscale node.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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