> ## Documentation Index
> Fetch the complete documentation index at: https://lmsysorg-hicache-fast-file-backend.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Spectrum Acceleration

> Approximate request-scoped denoising-step acceleration.

Spectrum forecasts DiT features and skips selected denoising steps. It is an
approximation: validate visual or video quality and latency on the exact model,
shape, hardware, and sampling settings you plan to deploy.

## Quick start

```bash theme={null}
sglang generate \
  --model-path Wan-AI/Wan2.1-T2V-1.3B-Diffusers \
  --prompt "A paper boat floating through a misty mountain lake" \
  --enable-spectrum \
  --save-output
```

## Scope and constraints

* Available only on native FLUX.1, Wan, HunyuanVideo, and SD3 implementation
  paths. It is not a `--backend diffusers` feature and does not currently
  cover FLUX.2.
* The request control is available through `sglang generate` and Python
  sampling parameters. It is not a `sglang serve` or OpenAI-server request
  option yet.
* Spectrum and `--enable-teacache` are mutually exclusive.
* Start with the defaults. `--debug` adds shadow-prediction validation work, so
  its latency is not representative of normal Spectrum execution.

## Advanced controls

Use `--enable-spectrum` explicitly. Providing any Spectrum override also
enables it, but that implicit behavior is intended for scripts rather than new
commands.

| Flag | Default | Purpose |
| - | - | - |
| `--spectrum-window-size` | `2.0` | Initial step-skipping window |
| `--spectrum-flex-window` | `0.75` | Window growth after a real forward |
| `--spectrum-warmup-steps` | `5` | Initial exact DiT forwards |
| `--spectrum-m` | `4` | Chebyshev basis count |
| `--spectrum-lam` | `0.1` | Ridge regularization |
| `--spectrum-tau-num-steps` | `50` | Chebyshev time horizon |
| `--history-size` | `100` | Recent feature-history capacity |
| `--taylor-order` | `1` | Local predictor order (`1`, `2`, or `3`) |
| `--w` | `1.0` | Chebyshev/Taylor blend weight |

<Warning>
  These controls trade speed against output fidelity. Change one control at a
  time and retain a lossless baseline for comparison.
</Warning>