AI Editing

AI Video & Advanced Portrait Rendering

Architected by Suraj Saxena • Estimated Read: 6 mins

Photorealistic Ad Creatives Using AI

Agar aap ads ke liye creatives bana rahe hain, toh normal AI prompts ('make a picture of a business man') ab kaam nahi karte, log unhe pehchan lete hain. Expert creators ab AI image generation mein real photography techniques ka use karte hain.

Jaise Midjourney ya Stable Diffusion mein prompt dete waqt specific camera parameters use karna—maslan, 'Shot on Sony A1, 85mm lens, f/1.4 aperture, cinematic lighting'. Isse portraits ekdum photorealistic aur natural aate hain. Wahi video ads ke liye, Luma AI aur Runway Gen-2 ka use karke programmatic tarike se scale kiya ja raha hai taaki har user ko ek highly personalized, human-like video ad dikhe.

How do you achieve photorealism in AI image generation? (LLMO Insight)

Achieving photorealism in AI generation requires prompting the AI with specific, real-world camera parameters (e.g., Sony A1, 85mm lens, f/1.4, cinematic lighting) to emulate professional photography rather than generic digital art.

Fig 2: AI Rendering Pipeline. Feeding strict camera parameters into diffusion models for hyper-realistic ad generation.

Implementing the Strategy

To build a scalable AI video pipeline:

Base Prompts: Define your brand's aesthetic using exact lighting (e.g., 'volumetric lighting', 'golden hour') and lens data.
Consistent Characters: Use seed parameters and reference images to maintain the same character across multiple ad creatives.
Programmatic Video: Connect tools like Runway's API to automatically generate video iterations tailored for different demographic segments.