Apr 10, 2025 · Artificial Intelligence

Ele.me Vertical Business AIGC Image Model: Architecture, Training Pipeline, and Evaluation

Ele.me created a domain-specific AIGC image model built from scratch on its own data using the DiT backbone, a three-stage training pipeline (transformer pre-training, prompt alignment, aesthetic fine-tuning), custom T5‑E‑CLIP text and visual encoders, ControlNet for layout control, and evaluated via FID, CLIP scores and a human rubric, enabling automated dish-image generation and UI asset creation for its vertical business.

AIGCControlNetDiT

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Ele.me Vertical Business AIGC Image Model: Architecture, Training Pipeline, and Evaluation

AIWalker

Apr 2, 2025 · Artificial Intelligence

EasyControl: Plug‑and‑Play DiT Control with Arbitrary Aspect Ratios and Accelerated Inference

EasyControl introduces a lightweight condition‑injection LoRA module, a position‑aware training paradigm, and causal attention with KV‑cache to enable plug‑and‑play multi‑condition control for DiT models, supporting arbitrary image resolutions while cutting inference latency by up to 30% and preserving high‑quality generation.

Conditional GenerationDiTEasyControl

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EasyControl: Plug‑and‑Play DiT Control with Arbitrary Aspect Ratios and Accelerated Inference