AIforASMR Docs

What is AIforASMR?

AIforASMR is an AI video creation product focused on calm, tactile, and sleep-first ASMR visuals. It helps creators, wellness brands, and short-form teams turn simple prompts, images, and templates into soft-motion videos that feel quiet, cinematic, and satisfying.

Who is it for?

AIforASMR works well for:

  • ASMR and ambience creators
  • Sleep and meditation channels
  • Wellness, skincare, and sensory brands
  • Social teams that need calm visual loops for short-form publishing

Core ways to create

There are three main ways users create inside AIforASMR:

  1. Start from a text prompt
  2. Start from one or more images
  3. Start from a ready-made template

These flows are designed to keep the interface focused while still giving users control over model choice, generation settings, and visual direction.

Main product areas

Create ASMR Video

The main generator is built for text-and-image driven ASMR creation. Users can start with a prompt, optionally add image guidance, select a model, and submit a task for generation.

Image to Video

The image-to-video flow is better for users who already know the visual they want and need motion built from a source image or image set.

Templates

Templates give users a faster starting point by packaging prompt ideas, model choices, and preset parameters into reusable starting scenes.

Pricing and Credits

AIforASMR uses credits and configurable pricing plans so users can estimate usage, choose a plan, and understand how generation costs are calculated.

Start here

If you are new to AIforASMR, the best next step is:

  • Read the creation guide in /docs/create-asmr-videos
  • Open the generator and test one prompt
  • Try a featured template if you want a faster starting point

Product principles

AIforASMR is designed around a few simple ideas:

  • Calm over clutter
  • Guided creation over overwhelming controls
  • Template-assisted speed without locking users into one style
  • Configurable models, pricing, and templates managed from the product backend