aivideoflux
AiVideoFlux is a browser-based AI video generation service that produces short cinematic clips from text prompts, still images, or reference material. The site markets itself as a multi-model workspace, letting users pick among a rotating roster of frontier video models that it names as Omni, Seedance, Kling, Veo, Wan, Flux, Grok, Runway, and MiniMax H3, rather than locking users into a single provider. A single generation console exposes prompt entry, model choice, aspect ratio (2:3, 3:2, 1:1, 16:9, 9:16), clip duration (6 to 30 seconds), resolution (480P, 720P, 1080P), and output count, with an estimated credit cost shown before the user commits to rendering. The product supports three distinct creation modes: text to video, image to video, and reference to video. Reference-based creation is the most advanced mode, allowing camera movement, character appearance, and audio to be borrowed from separate input assets and applied to a new generation — for example, referencing a camera move from one video, a character from a second image, and vocals from a third audio track. Prompts accept up to 2000 characters, and the interface suggests including camera movement, lighting, subject, and mood to improve controllability. A public gallery of model outputs doubles as documentation. Each sample on the site records the provider, exact model name, prompt, and inputs where available, so prospective users can compare stylistic strengths (for instance, high-action montage work versus surreal narrative sequences) before spending credits. The gallery is browsable by trending and by individual model pages. Access is credit-based. New accounts receive 100 signup credits valid for three days with no card required, and the interface shows an estimated credit cost per render — one example prompt shown on the homepage displays an estimate of 57 credits for a multi-second generation. Beyond the free trial, the site lists a separate pricing page, though public details about paid tiers wer
- Category
- AI Video Generator
- Pricing
- Unknown
Problem solved
Creating AI video normally means juggling separate accounts, credit balances, and interfaces for each frontier model, and it is hard to know which model suits a given shot before paying for it. AiVideoFlux consolidates multiple text-to-video, image-to-video, and reference-to-video models into one console with a shared credit pool, unified prompt and output settings, and a public gallery of labeled outputs so users can compare model behavior before generating.
Use cases
- Generate a short cinematic clip from a written scene description
- Animate a still image or product photo into motion footage
- Transfer camera movement, character appearance, or audio from reference assets into a new video
- Compare outputs from several frontier video models on the same prompt before committing credits
- Produce social-media-ready clips in square, vertical, or widescreen aspect ratios
- Prototype storyboard or concept shots for pitches and pre-production
- Study documented prompts and inputs in the gallery to learn effective prompt patterns
Audience
- Content Creators
- Designers
- Product Managers
- Hobbyists
- Startups
Pros
- Multiple frontier video models available from a single interface
- Three creation modes, including reference-based control over camera, character, and audio
- Public gallery publishes provider, model name, prompt, and inputs for each sample
- Free trial tier with 100 signup credits and no card required
- Transparent per-render credit estimate shown before generation
Cons
- Pricing beyond the free trial is not clearly documented on the homepage
- Claimed model lineup and availability may change since it depends on third-party providers
- Credit-based cost model can make heavy iteration expensive
- Free credits expire after three days, limiting evaluation time
- Output dependability inherits the limitations of the underlying models
Official website: https://aivideoflux.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/aivideoflux