Flova AI video smoothing helps you increase motion fluidity by generating intermediate frames between existing frames. Upload a clip, open the Video Material super-resolution settings, and choose high-quality frame interpolation plus a target frame rate such as 30 or 60 fps when those choices are available. The exact controls shown on the page are the source of truth. Preview the full clip before export: frame interpolation is not camera stabilization and cannot guarantee repair of warped or malformed motion.
Try NowAn AI video smoother can make low-frame-rate or uneven footage feel more continuous. Flova keeps the processed clip in the same project as your storyboard, generated scenes, music, narration, and timeline, so smoother playback remains one step in a complete creative review.
Video frame interpolation analyzes neighboring frames and creates additional in-between frames. When the source contains clear, consistent motion, those generated frames can reduce visible judder and make playback feel smoother. AI video smoothing is especially useful when the current frame rate looks too low for the intended edit or display.
The right frame rate helps an interpolated clip fit its final edit instead of simply looking faster or more artificial. Flova lets you select from the target rates available in Video Material super-resolution settings; the interface may offer 30 or 60 fps, depending on the page, model, source, or account. This gives you a way to align motion with the delivery format while preserving the source's intended feel.
Frame interpolation can change the feel and timing of motion without changing the story. Keep the processed clip beside its source and continue working with generated scenes, audio, and timeline edits in the same Flova project. This makes it easier to judge whether smoother motion actually fits the surrounding shots and intended pace.
Keeping the source and processed clip together makes motion errors easier to catch before they reach the final cut. Fast limbs, overlapping subjects, flashes, reflections, and scene cuts can produce duplicate shapes, trails, or distorted in-between frames. Side-by-side review lets you keep a strong result and reject a weak one; AI video smoothing does not make every difficult shot publishable.
Flova Skills are reusable creative workflows for specific outcomes. Choose a Skill that fits your project, then adjust the source clip, prompt, frame interpolation controls, and surrounding edit. Available Skills and settings may change, so follow the current Flova interface.
Seedance 2.5
Analyze the uploaded script (image/PDF/text) and, by learning its cinematic grammar—extracting the script, shot structure, visual language, and rhythm—generate a brand-new video around your theme. Use Nano Banana + Seedance 2.5 at 480p to generate the visual materials.
Nano Banana Pro, Seedance 2.5
Reference a video by learning its cinematic grammar—extracting its script, shot structure, visual language, and rhythm—then generate a brand-new video around your own theme. Uses Nano Banana + Seedance 2.5 at 480p.
Nano Banana Pro, Seedance 2.5
Quickly create AI commercial advertisements that present professional-level visual effects and creative stories for your products. Uses Nano Banana + Seedance 2.5 at 480p.
Seedance 2.5, OmniHuman 1.5
A workflow designed specifically for music video production, enabling performance driven by uploaded audio. Powered by the OmniHuman digital-human lip-sync model, it delivers accurate lip synchronization and expressive performance aligned with the song's rhythm and emotion.
Seedance 2.5
Upload a script or have the agent draft one from your theme, then produce a story-driven short with Nano Banana + Seedance 2.5 at 480p. Each speaking role gets a voice reference, and the workflow pauses at script, storyboard, element, video, and audio checkpoints for review.
For end-to-end production that industrially breaks down script text into short drama videos. Covers the full chain from script analysis, character and scene setup, storyboard design, and video generation to timeline assembly; Seedance 2.5 at 480p is the core video model, with GPT Image 2 for character and location reference sheets.
Produce serialized short dramas from scripts and optional character or scene references. Start from any episode or setup stage, then continue episodes while preserving story continuity.
Develop a rough idea into a polished live-action K-drama idol short. GPT Image 2 creates character sheets and scene-setting images, then Seedance 2.5 uses them as direct references for a story video up to 30 seconds. Dialogue defaults to natural Korean.
Script-to-Video (Script upload required)
Reference to video-remix
Product Promo Video
Music to video (Uploaded Music)
Scripted Short Film with Voice Reference
AI Short Drama One-Stop Generation
Episodic Short Drama from Script
K-Drama Idol Short
Frame interpolation works best when the reason for choppy playback is clear. Review the source frame rate, motion, and camera movement before deciding that more frames are the right fix. Keep an untouched source file beside every processed version for comparison and fallback.
Use an AI video smoother to test more fluid playback for animation with clear poses and controlled movement. Preserve the original timing and compare carefully: some styles intentionally use fewer drawings or held frames, and aggressive interpolation can weaken that artistic rhythm or create unwanted morphing.
Use an AI video smoother to test more fluid playback for animation with clear poses and controlled movement. Preserve the original timing and compare carefully: some styles intentionally use fewer drawings or held frames, and aggressive interpolation can weaken that artistic rhythm or create unwanted morphing.
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Additional in-between frames can help a slowed clip play more continuously when the source does not contain enough native frames. Results are strongest when subjects remain visible and motion is predictable. Inspect hands, faces, wheels, water, and fabric, where generated frames can reveal errors.
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Gameplay, interface demos, and cursor movement can feel smoother at a higher frame rate. However, fine text, HUD elements, sudden transitions, and repeated patterns may produce artifacts. Confirm that every screen element remains accurate before using the processed footage in a tutorial or promotion.
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A project may combine phone footage, archive clips, animation, screen recordings, and AI-generated video. Frame interpolation can help reduce abrupt differences in motion cadence, but it should not replace deliberate timeline choices. Review each converted clip alongside neighboring shots before final export.
Try NowStart a Flova project or open an existing one. Processing uses credits according to the selected model, duration, resolution, and applicable settings.
Use the cleanest source available. Confirm its native frame rate and watch for existing dropped frames, blur, unstable camera movement, and motion deformation.
In the Video Material super-resolution settings, choose high-quality frame interpolation and an available target frame rate, such as 30 or 60 fps when displayed. Current page options take precedence.
Watch the result at normal speed, inspect difficult sections frame by frame, and compare with the source. Export only after confirming that motion and visual details remain acceptable.
Video frame interpolation estimates what should appear between two captured frames. The model studies movement, shapes, and local changes, then generates one or more intermediate frames. Increasing frames per second can reduce visible stepping during pans or object motion, but generated frames are predictions. They do not contain new measurements from the original camera.
Stabilization estimates camera movement and reframes or transforms the image to reduce shake. AI video smoothing changes the number and spacing of frames. A shaky 24 fps clip can become a shaky 60 fps clip with more intermediate images. If the problem is camera shake, use an appropriate stabilization workflow rather than expecting frame interpolation to correct it.
If hands, limbs, faces, or objects are already deformed in the source, new frames may reproduce or extend the error. The process can also misread occlusion, rapid direction changes, or motion blur. AI video smoothing can improve cadence, but it cannot promise anatomical correction, object reconstruction, or perfect continuity.
When 30 and 60 fps are available, use the target that matches your delivery need. Thirty frames per second can provide a smoother general-purpose result with fewer generated frames. Sixty frames per second can make fast motion feel more fluid but gives the model more intermediate content to predict. Compare both when possible and judge quality, file size, style, and platform requirements together.
AI video smoothing uses frame interpolation to generate intermediate frames and increase the output frame rate. It can make some low-frame-rate or uneven footage play more fluidly, but every generated frame should be reviewed for visual accuracy.
Flova's Video Material super-resolution settings may provide target frame rates such as 30 or 60 fps with high-quality interpolation. Choose only from the options currently displayed in your account, because availability can vary.
No. Interpolation generates frames between existing frames to change motion cadence. Stabilization reduces apparent camera shake through motion analysis and reframing. One process does not automatically perform the other.
It cannot guarantee that. If the source already contains warped hands, limbs, faces, or objects, interpolation may preserve or amplify those problems. Replace or regenerate a bad source shot when accurate motion matters.
The model must predict hidden or rapidly changing information. Occlusion, fast action, scene cuts, blur, particles, reflections, and repeated patterns can cause trails, duplicates, or malformed details in generated frames.
No. The right cadence depends on source quality, creative style, and delivery format. Some animation and film looks intentionally use lower frame rates. More generated frames can also create more opportunities for interpolation errors.
Upload your clean source, choose high-quality frame interpolation and an available target frame rate in the Video Material settings, then review every difficult movement before export. Flova AI video smoothing helps increase fluidity while keeping the clip connected to the rest of your creative project. Use AI video smoothing when more frames address the real playback problem, and compare every AI video smoothing result with the untouched source.
