Artificial Intelligence Video Generation

Explore hotshot for AI video generation: create an account, explore categories, and generate short videos with prompts; use the prompt guide to improve results and upgrade for longer videos.

Master prompt engineering for AI video generation by crafting specific prompts that define theme, setting, mood, and details, using templates and English prompts to achieve clear goals.

Explore how to generate videos from text prompts using Halo AI, manage credits, choose models, and refine prompts to improve video quality while testing prompts across tools.

Dream Machine generates videos across categories like store visuals and cinematics. Create a free account, enter prompts, visualize results, and observe the two videos per day limit.

Explore Pyx Verse, a tool for artificial intelligence video generation that uses credits, prompts, model versions, effects, transitions, and character options to create styled videos.

Explore Kling AI for AI video generation: create a free account, choose AI videos, and set prompts, images, creativity, modes, duration, and aspect ratio to generate realistic clips.

Generate full videos with generative ai using invideo ai, adding voices, subtitles, and edits across multiple cuts, including travel prompts like Patagonia.

Explore an open source video generation tool usable locally or in the cloud, with no generation limits when run on capable hardware, including mochi and Google Colab workflows.

Explore pyramidal flow, an open-source tool for generating videos from image inputs or text prompts. Run on GPUs, locally or via web interfaces, with guidance, scale, and frames per second.

Explore the open source Korg v2 x tool with a web interface to generate videos from text prompts, featuring prompt enhancement and ESRGAN-based super resolution up to 2880x1920.

Explore using a single web page to run multiple video tools on one canvas, generate videos from prompts, and compare results to select the best option.

Learn to generate videos on Google Colab with Cog Video X and Cog Video X5, using a prompt, GPU settings, and notebook workflows, including saving, displaying, and downloading results.

Explore image-to-video generation by uploading an image and animating it, using either no prompt or a prompt to guide color, motion, and background elements.

Explore two AI image generation tools for video creation, CG drawing AI image generator and Pick Me, using prompts, styles, aspect ratios, and advanced parameters to produce high-quality images.

Explore Leonardo AI for image generation by creating a free account, using image creation prompts, and applying improve prompts, style, and settings to generate and download high-quality images.

Discover how ideogram generates images with texts and handles text in prompts, and explore aspect ratio, model, colors, and style to produce accurate results.

Introduce crt, a tool to generate videos from images by creating a free account, uploading a picture, selecting image to video, and refining prompts to animate elements like moving wheels.

Upload an image, specify the prompt 'car driving down the road', and apply effects and styles to generate a video with moving wheels, trees, and dust.

Test Dream Machine two by entering prompts, optionally choosing an image, and generating results to observe realism and adjust prompts for better outputs.

Upload an image, enter a prompt, and generate a video from image to video; observe a polar bear playing electric guitar with falling snow, validating the specified motion.

Learn to generate videos from images using stable diffusion in Google Colab with free GPUs, save results to drive, and note no prompt support in this version.

Explore video to video generation by transforming an input video with prompts and style presets, empowering artists, content creators, and designers to test multiple looks quickly with adjustable style strength.

Learn to create promotional or institutional AI videos with a prompt template to set length, topic, mood, voice, audience, and include case studies and solutions.

Explore text-to-video animation by using prompts to control style, compare tools and outcomes for anime versus realistic looks, and highlight image-to-video for greater fidelity.

Start with an initial reference image for image-to-video animation, then use prompt engineering to control styles like digital art, anime, Ghibli, and Pixar.

Explore interpolation to generate intermediate frames between a starting and ending image, creating a smooth video flow guided by prompts. Use similar images to avoid unwanted scene changes.

Explore video to video animation (vid2vid) by using a reference video to transfer pose and style to a new video, enabling cartoon and realistic style transfers.

Explore how focal Mll2 automatically generates complete stories by producing scripts and images, then animates them in digital painting style into a cinematic video with adjustable chapters and voices.

Explore capcut's professional edition for ai-generated video editing. Import clips, edit on a timeline, adjust speed, trim, add transitions and effects, then export.

Develop AI avatars using studio.d-id technology to create realistic digital presenters with controllable expressions, movements, lighting, and backgrounds for education, customer support, and marketing, while considering ethical use.

Create live portraits by mapping driving videos' facial expressions onto a source image with an open source tool, producing natural, animated avatars.

Recap the course on artificial intelligence video generation, covering historical context, applications, challenges, ethics, highlighting tools like hot shot, dream machine, pix verse, clean AI, with image-to-video and video-to-video workflows.

Engage with a demonstrational approach to artificial intelligence and data science through online courses, with monthly new content and videos on machine learning, deep learning, computer vision, NLP, and algorithms.