inclusionAI just open-sourced Ming-Image-0.1, a 6B model series purpose-built for visual design like UIs and posters. It natively outputs up to 2K graphics with transparent alpha channels, and a companion model can break flattened designs back into editable layers. Why it matters: It directly connects generative AI with real graphic design pipelines.
inclusionAI just open-sourced LLaDA-Image, a 6B unified diffusion model family that handles both text-to-image and instruction-guided editing from a single checkpoint. It delivers photorealistic rendering alongside bilingual Chinese-English text, while a 4-step distilled Turbo version enables near-instant generation. Checkpoints and ComfyUI integrations are already live.
Inclusion AI just introduced Inclusion Arena, an LLM leaderboard that tests models inside real-world production apps rather than synthetic benchmarks. By quietly routing prompts from apps like Joyland and T-Box into blind battles, it uses Bradley-Terry modeling to rank outputs based on genuine user choices. Claude 3.7 Sonnet and DeepSeek v3 led early testing across 500,000 comparisons.
