Fix AI Video Distortion, Melting Faces & Artifacts Answered

Start from a sharp, front-facing image, keep the face large in frame, and prompt for small, simple movements. Avoid fast head turns and busy backgrounds. If the face is still distorted, a face-restoration pass can repair it afterwards. See our face restoration API page for how that works.

Video models predict frames one after another and can lose track of what a subject is, especially with complex motion or long clips. Shorter clips, simpler actions and a clear reference image reduce morphing. If it happens, trim to the good part and regenerate the rest.

That usually appears when a prompt asks for a big rotation or an unusual angle. Ask for a small, clear head movement, keep the camera still, and use a clean image. Shorter clips drift less. If a result still glitches, discard it and try a slightly different prompt.

Hands and limbs are hard for generative models, especially during fast motion or when they cross in front of the body. Use slower movement, a framing that shows the hands clearly, and a clear reference image. Cropping or trimming bad frames is often quicker than re-prompting.

Boiling is shimmering texture in backgrounds that don't stay stable. Simplify the background, use a still camera, and avoid fine patterns like foliage or brick. For existing clips, a temporal denoise in an editor or a restoration pass can calm it. Prevention is easier than repair.

Image-to-video tools often output a lower resolution than your source, and compression softens fine detail. Use a sharp, well-lit source and the highest quality setting, then run an upscale afterwards for a crisp final result. Our upscaling tools do the last step.

Dedicated face-restoration models such as GFPGAN rebuild the face frame by frame and usually beat general upscalers on eyes and skin. BetterVideo offers face restoration in its enhancement API. Whatever you pick, compare results on one of your own clips first.

Run the clip through an AI video upscaler that handles both sharpening and resolution. You can do it locally with Real-ESRGAN if you have a GPU, or use a hosted service like BetterVideo. Upscale once, from your best source file, rather than repeatedly.

Models guess how objects behave from patterns, and eating scenes mix hands, utensils and faces in close contact, which they blend easily. Keep the action simple, avoid close-ups of mouths and utensils, and use a clean reference image. Trim and rerun when it fails.

Melting happens when textures of similar colour touch. Choose clothing that contrasts with the background, keep the character moving slowly, and use a clean reference image. Prefer a plain setting for the key shot. Compositing a character over a separate background is the most reliable fix.

Each clip is generated separately, so the model doesn't remember the face from the last shot. For consistency, start every shot from the same reference image, describe the character the same way, and use the tool's character-consistency features if it has them.

Generative video models imitate how things look, not the laws of physics, so liquids and falling objects sometimes behave wrongly. Prompt for simple, familiar motion, use short clips, and regenerate when it breaks. For exact physics, filmed footage or simulation is still better.

Flicker is brightness changing between frames. A deflicker filter in a video editor, or a temporal restoration pass, smooths it. To reduce it at the source, prompt for steady lighting and avoid strobes, neon or moving light sources. Shorter clips usually flicker less.

Without a fixed reference, each generation reinterprets the character, so age and proportions drift. Use the same reference image and an identical description each time, include the age and build in the prompt, and use a character-reference feature if available.

Plastic skin comes from over-aggressive smoothing. Choose an upscaler that preserves texture, lower the denoise or sharpening strength, and compare against the original on a short test. Face-restoration models can overdo skin, so use them only where faces are damaged.

Jitter appears when the model can't keep a motion consistent from frame to frame, often with fast or complex movement. Use slower, simpler actions, a stable camera and a shorter clip. If a good clip has slight jitter, a stabilization or temporal smoothing pass can help.

A reasonable order is: trim the best segment, run a face-restoration pass for eyes and skin, denoise lightly, then upscale last. Compare each step to the original so you don't over-smooth. Keep a copy of the untouched file in case a step makes it worse.

Fast movement gives the model too little to track. Slow the action, keep hands in clear view, and shorten the clip. Name the number of limbs in the prompt only if the tool respects it. If extras appear, trim those frames or regenerate.

Tools fit your image to a fixed aspect ratio, so anything outside it gets cropped. Prepare the image at the aspect ratio you plan to output, and keep the subject centred with space around it. Check the tool's framing options, if any, before you generate.

A half-turn around a subject asks the model to invent the unseen side of the face, so it often morphs. Use a smaller camera move, split the turn into shorter clips from different reference images, or cut between angles in an editor instead.