The Complete AI Video Creation Course: Make stunning videos

Plan ai video production to maintain subject and scene consistency, using whisk to lock generation, and outline a simple injured dog and girl plot across street, house, and park.

Master capcut video editing by importing images, songs, and clips, syncing to beat, adding transitions, and creating extra intro and outro scenes with prompts for a cohesive AI video.

Learn to create and manage subjects with whisk, crafting a dog and a girl scene using prompts, refining images, and setting 9:16 aspect ratio for photorealistic ai video production.

Craft cinematic ultra realistic street, house, and park scenes using prompts, refine results by re-running prompts, and assemble four images into a video with Vo3 and Flo.

Create four final video images by selecting the dog and girl subjects and scenes (city street, living room, park), crafting prompts with whisk, and saving scene-specific outputs.

Generate engaging video scenes using a free Google Studio workflow, selecting aspect ratio 9:16 and eight-second clips, crafting prompts and reference images for each scene, then assemble in CapCut.

Learn to create a voiceover using text-to-speech with Google AI Studio, compare vibe controls from warm and friendly to fast paced, and add emotional Suno music for a complete video.

Open CapCut, import videos and audio, and assemble scenes on the timeline while adjusting voiceover timing and level. Explore adding captions, style changes, and export limits tied to pro features.

Learn to create consistent images with Flow using NanoBanana Pro and NanoBanana 2, choosing aspect ratios like 16.9 and 9.16, and applying prompts, templates, and settings for mood and composition.

Use the edit tools to draw, annotate, and select areas with pencil, box, or annotations. Guide NanoBanana with prompts, replace objects, and outpaint to extend scenes, managing history and iterations.

Learn to create images using references as ingredients, rename generations, and lock ingredients while crafting prompts with drag and drop assets across projects to build realistic full-body visuals.

Master frames-to-video to control start and end frames, ensure character consistency, and craft seamless in-between prompts with image edits, while navigating model limitations and prompt quirks.

Master the ingredients method to maintain subject consistency across scenes, naming Mia and Frank, using image prompts and video ingredients, while noting VO 3.1's three-ingredient limit.

Create a reusable persona with a visual description and voice using the characters tool, templates, prompts, or uploads, then reuse it across projects for consistent, streamlined video production.

Learn to collaborate with an agent to craft a detailed storyboard for a robot in the desert, with frame-by-frame scenes, angles, lighting, narration, and a visual grid and script.

Learn how the agent retains context across edits, creates variations from references, and uses batch generation and collections to apply project-wide instructions like Wes Anderson styling.

Explore multishot prompts to create a multi-shot video using VO 3.1, OmniFlash, and Google Flow, defining timestamps, shot types, and per-shot actions.

Practice creating kitchen scene sequences by building first frames with Nano Banana prompts, exploring low angle and medium close-up shots of Mia drinking coffee, and iterating prompts to refine results.

Create dynamic running scenes with flow prompts, featuring a low-angle close-follow and selfie shots, while evaluating omni flash and VO 3.1 variants, noting glitches and door-opening challenges.

Explore creating motion style variations using an agent (or Gemini) to generate four motion ideas, applying 2d hand-drawn doodles, 3d wireframes, digital waves, glitch and smoke styles.

Learn to create motion graphics by drawing a reference doodle on a video frame, convert it to clean white lines, and guide timed animations with an agent.

Explore Clingy's all-in-one platform for video and image creation, navigate the explore page, use generate and opni, manage assets and credits, and engage with a social network of creators.

Create images with the latest model 3.0 using prompts and references, enhanced by DeepSec, and compare to 2.1 and Opni variants. Manage credits, aspect ratio, outputs, and editing tools.

Utilize references with ObniOne and Image 3.0 to craft prompts, manage uploads and history, and lock elements for consistent, daylight Times Square visuals.

Learn to maintain consistency while dressing a subject using references and prompts, creating outfits such as kimono, jacket, hat, and shoes, and changing pose and camera angles.

Create multi-angle views of a subject using front, side, back, and other angles, then build reusable elements via the element library and AI multi-shot for consistent visuals.

Learn how to add and remove elements in images using Clink and Opni, craft simple prompts, manage references, and adjust output settings for consistent, realistic edits and resolve cache issues.

Explore editing a subject's hair, eyes, and expressions using conversational prompts and reference images, testing model versions, and managing credits for high-fidelity video and image edits.

Experiment with OmniOne to adjust composition, angles, lighting, and color tone from a reference image; test establishing shots, medium close-up, close-up, and extreme close-up shots for consistent storyboards.

Explore composing scenes with multiple characters in ai video creation by combining subjects from references, testing prompts, and background changes across models, evaluating quality, pose fidelity, and cost trade-offs.

Explore how restyle works in the version, restyling a single image to a style from anime to Simpsons or wood textures, using a reference and options like 01 and 3.0.

Expand enables extending a shot beyond its original boundaries or trimming it to a chosen ratio, using free mode, presets, and impaint with prompts for YouTube-ready formats.

Master InPaint to brush selections for localized variations and use Remove for removing objects, guided by eraser, undo, and box selection, with attention to realistic results.

Master text-to-video workflows in Clang using frame-based, image-to-video, and multi-shot options. Leverage templates, inspiration presets, and model choices (3.0, 2.6, 2.5 turbo) with cost-aware settings like native audio and resolution.

Learn to work with frames in Clink by uploading start and end frames and prompting the middle, then compare single and multi-shot results while preserving background consistency.

Learn to create seamless start-to-end frame transitions with dynamic motion and lighting, avoiding boring zooms. Compare 2.6 and 3.0, adjust duration and resolution to manage credits.

Explore how the motion control tool transfers humanoid movement from a reference video to your image, with rules about matching shots and 2.6 vs 3.0 trade-offs.

Learn how to apply motion control using character orientation matches video and character orientation matches image, including how camera motion and reference quality affect results across 2.6 and 3.0.

learn to craft native audio narration prompts by structuring scene context, subject and action, audio cues, and camera direction to produce clear, on-brand narration.

Craft native audio monologues for explainer videos, selfies, or commercials using consistent speaker identifiers, precise pauses, and voice cues, with 2.6 and enhanced 3.0 native audio guidance.

Master native audio with multi-character prompts by using identifiers to connect lines to subjects, guiding dialogue with pauses, speech tones, and 'says'/'response' prompts for realistic conversations.

Discover how native audio enables ai singing, why a 10-second minimum matters, and why lip syncing tools support syncing to a track; explore prompts and production notes.

Learn to use native audio voice profiles in video generation frames, assign profiles to identifiers, and create custom voices for consistent dialogue. Examine voice quality, uploads, and lip syncing considerations.

Use the lip sync tool to animate mouth movements on a clear-face shot with text-to-speech. It tracks a single character, costs five credits, not as good as native audio.

Explore the avatar tool, which blends image generation, video generation, and lip syncing, offering built-in avatars or custom uploads, prompts, and cost-aware voice options for realistic avatars.

Explore opni's video creation workflow, from adding elements and prompts to native audio and multi-shot, through transformations, video reference, and image-to-video workflows with frame-based prompts.

In the Elements mode, OpniOne lets you build videos by referencing elements and prompting scenes, working just like the image generator with detailed element descriptions, interactions, and lighting directions.

Explore omni add and remove to transform videos by adding or removing content, changing angles and composition, adjusting subject, background, style, color, weather, and effects, with a note on credits.

Explore changing scene angles by generating new close-ups from an existing video, using prompts and references to maintain action while creating dynamic multi-shot compositions.

Use Opni to change a video’s background via transformations, using a reference image. Try snowy scenes or running tracks, but beware mismatched angles and reference quality.

Master chroma key and restyle effects in transformations to replace backgrounds with green screens while preserving key subjects; experiment with cyberpunk or Japanese anime styles and manage prompts.

Discover how the frames image-to-video option in Opni uses start and end frames, prompts, and 3.0 settings to produce a zoomed-out scene.