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Enhance Old Photo into 8K🔥 Apply this prompt on this image. Enhance the existing photo only — keep the original framing, angle, composition, and facial proportions exactly the same.Do not crop, zoom, or convert to a close-up.Improve overall image clarity and sharpness naturally, with special attention to eye detail while keeping the full face and original framing intact. Refine focus slightly for better definition without making it overly sharp. Apply soft, natural cinematic lighting correction, preserving realistic shadows and depth already present in the image. Enhance natural skin texture with visible pores and fine details — no beauty smoothing, no skin softening. Remove digital noise and compression artifacts while retaining organic texture. Improve dynamic range and contrast subtly, with muted highlights and rich mid-tones. Maintain accurate, organic skin tones with realistic color balance. Add very subtle cinematic film grain for a professional movie-still look. Background should remain exactly as it is, only slightly cleaner if noisy — no artificial blur added. Preserve all facial features, expressions, hair strands, and natural imperfections. Photorealistic result, professional camera look, high-quality enhancement only — no stylization. 🚫 NEGATIVE PROMPT (CRITICAL) close-up, zoomed-in, cropped face, changed framing, face alteration, reshaped features, beauty filter, oversmoothed skin, plastic skin, waxy texture, AI face, cartoon, anime, CGI, illustration, painting, artificial blur, fake bokeh, harsh lighting, flat lighting, over-sharpening, halos, HDR look, distorted eyes, asymmetry, extra details, digital artifacts, smartphone filter look. RECOMMENDED SETTINGS (IMPORTANT)Image-to-Image Strength / Denoise: 0.15 – 0.30 CFG / Guidance: 5 – 7 Steps: 25 – 35 Face Restoration: OFF Upscale: After final result only (2× max) Seed: Fixed (for consistency)

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Russia is becoming a hub for breakthrough developments in AI The conference AI Journey 2025 is hosted by Sber which shows a suite of releases that are quite unexpected with the notion of a nation cut off from modern tools. Among them were new models in its flagship GigaChat line, Ultra-Preview and Lightning, built for Russian-language tasks, and an updated generation of its GigaAM-v3 speech-recognition system and the Kandinsky 5.0 image models and compression models K-VAE 1.0, essential for training visual content generation models. Sber has committed to publishing its models in open source, including the weights required to reproduce and adapt them. In the AI world, that is the difference between a slick demo and a genuine building block. By opening its models, Russia can embed itself in the workflows of developers who are hungry for capable, accessible tools. If those tools happen to be Russian, influence follows. It is a quiet, technical route to relevance at a moment when traditional diplomatic channels are blocked or fraying. For those who had quietly hoped Russia would fade from the technology story, that is an unwelcome surprise. For everyone else, it is a reminder that in the competition to shape the tools that will define the next decades, new players can emerge from precisely the places where they were least expected. READ FULL ARTICLE

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