Elastic-DiT support

### Model/Pipeline/Scheduler description

Elastic-DiT was released a few hours ago: https://github.com/wangjiangshan0725/Elastic-DiT

It's supposed to greatly accelerate (~2x speed) the diffusion process of 2D image generators like qwen image and Flux with little impact to the quality of the output. This project was leaded by the creator of Hunyuan3D who used it also for the image->3d model (but this is likely out of scope for the diffusers project as it doesn't support 3D generation).

The code is available in the Github repo, the model checkpoint is hosted on HuggingFace and the paper is available on Arxiv.

### Open source status

- [x] The model implementation is available.
- [x] The model weights are available (Only relevant if addition is not a scheduler).

### Provide useful links for the implementation

https://github.com/wangjiangshan0725/Elastic-DiT
https://github.com/wangjiangshan0725/Elastic-DiT/blob/65535c3671199b0e26e96d7493cdeb71b2bcf3d8/diffsynth/pipelines/qwen_image_elastic_dit.py
https://huggingface.co/wjs0725/Elastic-DiT

@wangjiangshan0725
@Zeqiang-Lai

まず Elastic-DiT リポジトリと、そこで参照されている diffsynth/pipelines/qwen_image_elastic_dit.py の実装を読み、次に Hugging Face 上の Elastic-DiT checkpoint を調べます。Qwen Image と Flux をサポートするために適切な diffusers のエントリポイントと必要な検証を特定します。モデルが統合され、その出力を公開されている実装と照合して検証できれば完了です。

索引モデルが issue の本文から書いたものです。