[doc] standardize diffusion cookbook model pages (#34247)
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
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@@ -6,11 +6,13 @@ metatags:
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import { DiffusionModelTags } from '/src/snippets/diffusion/model-tags.jsx';
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<DiffusionModelTags tags={["image", "text-to-image", "turbo"]} />
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<DiffusionModelTags tags={["image", "text-to-image", "standard + Turbo", "single GPU"]} />
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## 1. Model introduction
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## 1. Model Introduction
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[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`.
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[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`.
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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.
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| Model | Hugging Face model ID | Notes |
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| --- | --- | --- |
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