doany-ai

Generates video from a written script or storyboard using HappyHorse 1.0, producing 1080p output with synced audio, consistent characters across scenes, and support for six languages.

Uses OpenAI's GPT Image 2 to create mockups, social posts, or marketing assets with precise text placement, logos, and multilingual type—no designer needed.

Describes what you want changed in an image (remove, replace, add) and applies it via GPT Image Edit, using documented prompting patterns that get sharper results than standard requests.

Calls Flux 2 Klein to render images from text prompts, applying the model's documented patterns for prompt structure so output quality stays high even with fast generation.

Routes to ElevenLabs or open-weights models to produce 5-second to 5-minute audio clips. Specify mood, genre, or instrumentation; get stereo .wav ready for video or podcast.

Routes your script or storyboard to the best open or commercial video model (HappyHorse, Kling, Seedance) based on style, length, and audio needs. Handles lip-sync and cinematic detail.

Takes lyrics, a mood, and instrumentation notes and generates a full song or instrumental track (5 sec to 5 min) in studio quality, with control over sections like intro and verse.

Uploads a screenshot, photo, or graphic and generates a smooth 5–10 second video with optional narration or music, picking the best model for your image type.

Swaps backgrounds, tweaks lighting, or recomposes up to 20 product images at once while keeping the subject identical. Uses spatial language to target edits to one region.

Describe what you want changed—background, outfit, product packaging, lighting—and it picks the right model to preserve motion and identity while making the edit.

Takes a vertical phone video and extends it to landscape (or vice versa) by painting in matching background environment, keeping the subject and action sharp in the center.

Understands what you're trying to do—recolor, remove objects, rewrite text, blend multiple images—and routes to the right model. Handles batch edits and identity-preserving changes.

Uses Flux Kontext to retouch, reshape, or swap elements in photos with pixel-level control. Includes prompt patterns tuned for the model so edits land reliably on the first try.

Mixes up to 9 images, 3 videos, and 3 audio tracks into a 4–15 second cinematic clip with synchronized lip-sync and smooth motion.

Describes what you want and intelligently routes to the best available image model (FLUX, GPT-4o, Qwen, or others) based on speed, quality, and cost. Handles edits too.

Runs image generation, video synthesis, face swaps, upscaling, and dozens of other AI models via one CLI without managing infrastructure or GPU costs.

Routes your script to the best AI video model (full-body avatar, lip-synced portrait, or scene) and renders an mp4 with audio in minutes via RunComfy.

Extracts the pose and motion from a reference video, then applies it to a different character or scene. Works with Kling and community animation models via RunComfy.

Routes your image or video through specialized face-swap models—animate a character from audio, swap a face onto a still photo with a reference, or composite identities seamlessly.

Takes a photo and intelligently fills in what the camera missed—extend the sky, add context to the sides, or reframe from square to widescreen while keeping the original subject intact.

Turns a text prompt or image into a polished multi-shot video with synchronized audio and consistent characters throughout — powered by Kuaishou's Kling 3.0 model.

Calls Google's fast image model and wraps your prompt in documented patterns that unlock the model's strengths — getting better results than raw prompting without extra cost or latency.

Removes unwanted objects (wires, watermarks, people) or replaces regions across a whole video sequence while preserving motion and lighting. Integrates with RunComfy.

Converts a written scene description into a short video using Wan 2.7, with support for audio-driven lip-sync, multiple reference images, and smooth transitions between scenes.

Upload an image and draw a mask over the area you want to change. Specify what should go there (or leave it blank to remove), and get back an edited version that preserves the rest of the image naturally.

Takes an existing video and a prompt describing what happens next, then uses Google Veo 3 to generate matching frames that seamlessly continue the original clip.

Describe a mood, genre, and instruments — "upbeat indie pop with synth, 90 seconds" — and get a unique stereo track. Works with lyrics and section markers too.

Takes a portrait and an audio file, then routes to the best lip-sync engine (Sync Labs, OmniHuman, or Kling) to produce a realistic talking-head video for demos, tutorials, or ads.

Adjusts light direction, color temperature, and mood in a still image without reshaping the subject. Useful for matching brand aesthetics or testing how a product reads under different conditions.