Image & Video

Tony on LTX 2.3 feels absolutely unreal !

A viral ComfyUI workflow makes the open-source LTX 2.3 model produce results rivaling top-tier AI image generators.

Deep Dive

A viral demonstration on Reddit is showcasing the surprising capabilities of the open-source LTX 2.3 AI image generation model. User Skystunt, inspired by another community member, posted a photorealistic image of a character named 'Tony,' claiming the model's output feels 'absolutely unreal' and 'SOTA' (state-of-the-art). The key revelation is that this quality was achieved not through the model alone, but via a meticulously crafted prompting workflow and node setup within ComfyUI, a popular visual programming interface for Stable Diffusion. The workflow details were embedded directly in the video, emphasizing the critical role of technique over raw model power.

This event highlights a significant trend in the open-source AI community: the democratization of high-quality image generation. While proprietary models like DALL-E 3 and Midjourney often lead in ease of use, community-driven efforts are rapidly closing the gap. The 'Tony' example proves that with expert prompting, structured workflows, and tools like ComfyUI, accessible models like LTX 2.3 can produce results that rival top-tier systems. It shifts the focus from simply waiting for better base models to actively developing better methods to use existing ones, empowering users and reducing reliance on closed, expensive APIs.

Key Points
  • The LTX 2.3 open-source model achieved photorealistic 'SOTA' results for character 'Tony' using advanced prompting.
  • The breakthrough was enabled by a specific, shared ComfyUI workflow, not just the model itself.
  • This demonstrates how community expertise can unlock premium-quality outputs from accessible, free AI models.

Why It Matters

It proves open-source AI can match commercial leaders, reducing costs and increasing creative control for professionals.