30 lines
1.4 KiB
Markdown
30 lines
1.4 KiB
Markdown
## TT KSampler (Context) *TT_KSamplerContextNode*
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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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Context-based KSampler that reads all sampling parameters from a connected context object. Designed for use in context-driven pipelines where model,
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latent, and workflow config are passed as a single object.
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### Inputs
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| Parameter | Type | Required | Description |
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|------------------|---------|----------|----------------------------------------------------------|
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| `context` | CONTEXT | Yes | Pipeline context with model, latent, and workflow config |
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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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| `CONTEXT` | CONTEXT | Updated context with sampled latent |
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| `LATENT` | LATENT | Sampled latent tensor |
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### Usage
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Connect a context output from a workflow settings or text encoder node. The node reads `model`, `latent`, `seed`, `steps`, `cfg`, `sampler_name`, and
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`scheduler` from the context automatically. Sampled latent is written back into the context for downstream nodes.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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