PixGenN
TutorialsHow to Write AI Image Prompts That Actually Work
A working AI image prompt specifies four things: a specific subject, a committed style, deliberate lighting, and a camera-aware composition — "a ceramic pour-over coffee set on a walnut table, photorealistic product shot, golden hour, close-up" instead of just "coffee". Subject-only prompts force the model to fill style, lighting, and framing with averages, and those averages are exactly where the generic "AI look" comes from. This guide breaks down the four-part anatomy with copy-paste templates for product shots, portraits, and concept art, then shows the iteration loop that converges fastest: generate once, name the weakest element — style, lighting, or crop — change only that element, and re-run. Two or three passes of that loop beat ten from-scratch rewrites. It also covers the common failure modes: ten adjectives on the subject and none on lighting, contradictory instructions that average into mush, and judging a stochastic model on a single take.
TutorialsHow to Face Swap a Video with AI (Step-by-Step)
To face swap a video with AI: pick a target video where the face is large in frame, well-lit, and not whipping through extreme angles; pick one sharp, front-facing source photo; upload both and generate — the model handles per-frame detection, alignment, and blending automatically. What used to mean hours of frame-by-frame compositing now takes minutes, and good models keep the swap stable in motion, which is exactly the part manual editing gets wrong. This guide walks through choosing both inputs, then judging the output on four checks: edge blending at the jaw and hairline, skin-tone match, expression transfer, and frame-to-frame motion stability — flicker between frames is the classic failure mode, and a cleaner source photo fixes more failures than re-running the same inputs. It also covers consent first — only swap faces you have the right to use — plus the legitimate use cases: memes, marketing localization, previsualization, and virtual characters.
TutorialsHow to Make a Photo Talk: AI Talking Photo Guide
To make a photo talk with AI you need two inputs: one clear, front-facing portrait and the speech — either a typed script with a synthesized voice or your own audio recording. The model animates the mouth in sync, adds blinks and micro-expressions, and outputs a clip that reads as a filmed talking head, typically in minutes. Photo choice decides most of the final quality: sharp, evenly lit, whole face visible, neutral expression, nothing covering the mouth — real photos, illustrated characters, and AI-generated portraits all work. Write the script for the ear, not the page: short sentences, contractions, one idea per 30–60-second clip. The same portrait can then deliver the same message in every language by localizing the script and regenerating — which is where talking photos beat filmed video outright for training modules, announcements, and localized marketing. Consent first: only animate faces you have the right to use.
TutorialsHow to Turn an Image into a Video with AI (2026 Guide)
To turn an image into a video with AI: upload a sharp source image, write a prompt that describes the motion rather than the picture, pick the model that fits the shot, generate, and iterate once — five steps, minutes per clip. The model can already see your image, so the prompt's entire job is movement, and one camera move plus one subject action — "slow push-in, her hair moving gently in the wind" — is the reliable recipe. Underspecify and the model invents motion you didn't ask for; overspecify and it tries to do everything in five seconds. Model choice is a per-shot decision: Veo 3.1 for 1080p with native audio, Seedance 1.5 Pro for cinematic multi-shot work, and the fast 720p tiers for cheap drafts before re-running the keeper prompt on a flagship. The guide closes with the mistakes that waste credits: blurry sources, describing the image instead of the motion, and judging a stochastic model on one take.