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docs: update Spectrum info about DiT models (#1360)

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@ -11,7 +11,7 @@ Caching methods accelerate diffusion inference by reusing intermediate computati
| `dbcache` | DiT models | Block-level L1 residual threshold |
| `taylorseer` | DiT models | Taylor series approximation |
| `cache-dit` | DiT models | Combined DBCache + TaylorSeer |
| `spectrum` | UNET models | Chebyshev + Taylor output forecasting |
| `spectrum` | UNET and DiT models | Chebyshev + Taylor output forecasting |
### UCache (UNET Models)
@ -111,9 +111,9 @@ Mask values: `1` = compute, `0` = can cache.
--scm-policy dynamic
```
### Spectrum (UNET Models)
### Spectrum (UNET and DiT Models)
Spectrum uses Chebyshev polynomial fitting blended with Taylor extrapolation to predict denoised outputs, skipping entire UNet forward passes. Based on the paper [Spectrum: Adaptive Spectral Feature Forecasting for Efficient Diffusion Sampling](https://github.com/tingyu215/Spectrum).
Spectrum uses Chebyshev polynomial fitting blended with Taylor extrapolation to predict denoised outputs, skipping entire forward passes. Based on the paper [Spectrum: Adaptive Spectral Feature Forecasting for Efficient Diffusion Sampling](https://github.com/tingyu215/Spectrum).
```bash
sd-cli -m model.safetensors -p "a cat" --cache-mode spectrum