[doc] standardize diffusion cookbook model pages (#34247)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
Mick
2026-08-21 10:25:40 +08:00
committed by GitHub
co-authored by Claude Opus 5
parent 7e80e889a2
commit e0cf75d9bd
32 changed files with 2712 additions and 602 deletions
@@ -7,12 +7,20 @@ metatags:
import { DiffusionModelTags } from '/src/snippets/diffusion/model-tags.jsx';
<DiffusionModelTags tags={["video", "text-to-video"]} />
<DiffusionModelTags tags={["video", "text-to-video", "480p", "2B lightweight"]} />
## 1. Model introduction
## 1. Model Introduction
[SANA-Video 2B 480p](https://huggingface.co/Efficient-Large-Model/SANA-Video_2B_480p_diffusers)
is a text-to-video model with a native SGLang Diffusion pipeline.
is a lightweight text-to-video model served through a native SGLang Diffusion
pipeline. Its main advantage is deployment cost: at 2B parameters it serves
480p video from a single GPU with a plain `sglang serve` invocation, no
parallelism flags required.
The released generation profile produces 832×480 output at 81 frames and
16 FPS over 50 inference steps; a compact 17-frame, 8-step profile is covered
by server CI for quick validation. Motion strength can be steered directly
from the prompt with an optional `motion score: N.` suffix.
| Model ID | Task | Default output |
| --- | --- | --- |