Add Lumina-DiMOO as a pipeline

### Model/Pipeline/Scheduler description

Lumina-DiMOO is a unified multimodal model built on fully discrete diffusion. It supports a wide range of tasks, including text-to-image, image-to-image (editing, subject-driven generation, inpainting), and image understanding. It also outperforms existing open-source multimodal models with stronger results and much higher sampling efficiency. It would be great to have this model in diffusers.

### 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

project page: https://synbol.github.io/Lumina-DiMOO
code: https://github.com/Alpha-VLLM/Lumina-DiMOO
model weights: https://huggingface.co/Alpha-VLLM/Lumina-DiMOO

@synbol @ChinChyi

Inizia leggendo la pagina del progetto Lumina-DiMOO collegata e la relativa implementazione, quindi esamina i pesi del modello su Hugging Face. Determina come le sue attività di text-to-image, image-to-image, inpainting, subject-driven generation e image-understanding corrispondano a una pipeline di diffusers. Il lavoro è completato quando Lumina-DiMOO è disponibile in diffusers con le capacità del modello richieste.

Scritto dal modello di indicizzazione a partire dal testo della issue.