I have a single reference photo and need it expanded into a complete, realistic faceset suitable for machine-learning training. The final pack must cover multiple yaw and pitch angles while keeping lighting, color, and facial identity consistent. Key requirements • Realistic style only—no cartoon or stylized interpretations. • High-resolution output (minimum 1024 px on the shortest side). • Uniform background and file naming that clearly encodes angle or frame index. • Clean edges, no artifacts, no watermarks. Preferred workflow Whether you rely on AI tools, 3D face reconstruction, FaceGen, or manual photogrammetry, I’m fine as long as the result looks natural and is ready for model ingestion. Deliverables 1. A folder of front, quarter, profile, and up/down-tilt views (at least 20 distinct angles). 2. All images in PNG or lossless WebP format. 3. A brief note on the process so I can replicate it on future photos. I’ll share the source image immediately after we start. Looking forward to working with someone who has done facesets for AI projects before and understands the precision needed.