[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
@@ -6,11 +6,13 @@ metatags:
import { DiffusionModelTags } from '/src/snippets/diffusion/model-tags.jsx';
<DiffusionModelTags tags={["image", "text-to-image", "turbo"]} />
<DiffusionModelTags tags={["image", "text-to-image", "standard + Turbo", "single GPU"]} />
## 1. Model introduction
## 1. Model Introduction
[ERNIE-Image](https://huggingface.co/baidu/ERNIE-Image) is Baidu's text-to-image diffusion model family. SGLang Diffusion supports both the regular and Turbo checkpoints with the native `ErnieImagePipeline`.
[ERNIE-Image](https://huggingface.co/baidu/ERNIE-Image) is Baidu's text-to-image family with separate standard and Turbo checkpoints. The standard model is the quality-oriented path; Turbo is the lower-latency choice, and both load through SGLang's native `ErnieImagePipeline`.
This integration currently targets text-only image generation rather than image editing or reference conditioning. Choose it for a straightforward single-GPU T2I deployment; use a dedicated editing model when preserving source-image structure is part of the task.
| Model | Hugging Face model ID | Notes |
| --- | --- | --- |