Ray 3.2 supports T2V and I2V
It starts from a text prompt or image reference, then generates a controlled clip with the motion, structure, and style you direct.
Ray 3.2 is a controlled AI video model for text-to-video and image-to-video creation. It is built for the moment when you need stronger direction over motion, structure, character, and output quality. Explore workflows in the Ray 3.2 AI Video Generator.
Definition
The simplest way to understand Ray 3.2: it lets you start from text or an image reference, then guide the motion, structure, style, and finish.
It starts from a text prompt or image reference, then generates a controlled clip with the motion, structure, and style you direct.
Instead of hoping one prompt controls the whole clip, you can lock important moments and guide the transformation frame by frame.
Motion and Structure adherence decide whether the result stays close to your prompt or image reference, or moves into a bigger stylistic change.
Why it matters
The model is most useful when the shot needs a clear subject, motion plan, camera language, or composition, and the creative task requires more than a vague prompt.
The easiest way to understand Ray 3.2 is to separate loose generation from directed generation. A weak workflow asks the model to guess the whole shot from a vague idea. A stronger workflow gives the model a clear prompt, optional image reference, motion intent, camera language, and output target. Ray 3.2 is useful because it gives those creative decisions a more controllable surface.
Continuity can mean different things depending on the job. For a filmmaker, it may mean the generated clip keeps a planned camera move. For an agency, it may mean the product stays readable while the market, background, or label changes. For a VFX team, it may mean a performer keeps the intended gesture and expression while the character design changes. Ray 3.2 gives that continuity a practical control surface: prompts, image references, keyframes, Motion adherence, Structure adherence, and character locks.
The HDR and EXR story is important, but Ray 3.2 is not just about output quality. The bigger shift is directability. A video model becomes more useful when a creative team can point to a specific frame, preserve a specific motion idea, and change a specific visual layer without restarting the entire concept. Higher fidelity matters at export time; directability matters during every review cycle before export.
Capabilities
These capabilities work across text-to-video and image-to-video creation. The point is not random generation; it is controlled direction.
Motion transfer
Camera motion transfer
Character transformation
Visual effects
Environment change
Relighting
Product swap
Global campaign variations
Video examples
Each video shows a different reason Ray 3.2 exists: directing motion, holding detail, choosing output quality, or shaping a cinematic environment.
This amusement-ride example has strong camera movement and a clear track path. It shows where Motion adherence matters: the generated result should respect speed, perspective, and direction.
The macro plant shot emphasizes fine detail, water droplets, and close-focus texture. It is useful for explaining why clean 1080p output matters when the generation needs to hold up beyond a small preview.
The SDR/HDR comparison makes the output decision visible. Ray 3.2 is not only about creating a new look; it also gives teams a path toward brighter highlights, richer color separation, and finishing-friendly delivery.
The wide cinematic landscape shows how environment, atmosphere, and composition can carry a shot. For Ray 3.2, this kind of clip is a reminder to describe scale, horizon, and camera language when changing the world around a subject.
Use cases
Use it when the shot needs more than blank-page ideation: image references, keyframes, adherence controls, timing, and production-ready output.
A text prompt needs stronger control over motion, style, and output quality.
An image reference should anchor the subject, product, or composition.
A character or product concept needs consistent identity across the clip.
A production run needs draft settings first, then HDR or EXR for delivery.
FAQ
The short version before you choose a workflow.
Ray 3.2 is video model update for controlled AI video generation. In plain terms, it helps you create clips from text prompts or image references while directing the look, lighting, character, product, environment, motion, and output quality.
The important difference is control. Ray 3.2 is built around prompts, image references, keyframes, Motion adherence, Structure adherence, and production-friendly output, so it is less about rolling a random idea and more about directing a generated shot.
It fits filmmakers, agencies, product teams, VFX artists, and creators who need controllable text-to-video or image-to-video results. If timing, camera move, character consistency, or product staging matters, Ray 3.2 is the right kind of workflow to consider.
No. Professional teams benefit from the extra control, but the idea is simple enough for smaller creators too: start with a prompt or image reference, describe the result you want, then use keyframes and adherence settings when the shot needs more precision.
Yes. Ray 3.2 supports text-to-video and image-to-video workflows, so you can generate from a written prompt or use an image reference to anchor the subject, composition, or style.
Use an image with clear framing, readable subject detail, and the composition or style you want to carry into the generated clip. Blurry, cluttered, or heavily compressed references are harder to follow cleanly.
Keyframes give the model exact moments to respect. They are especially helpful for product reveals, character poses, facial expressions, and final frames that need to land the same way every time.
Use HDR or EXR when the clip needs to keep moving through a finishing workflow. For quick creative exploration, a draft is usually enough; for color, review, and delivery, higher-quality output matters.