Hailuo Video 01

Minimax T2V‑01 (often referred to as Hailuo T2V‑01) is a text-to-video model that stands out for its cinematic approach. Its main features include:

1. Cinematic Quality: Minimax T2V‑01 is optimized for creating short, high-quality video clips with professional cinematic effects such as dynamic lighting, dramatic angles, and detailed motion transitions.
2. User-Friendly Prompting: With a structured prompt format, users can easily combine character descriptions, actions, and camera directions to produce videos that feel like they were shot by a professional film crew.

To effectively use Minimax T2V‑01, you must construct a structured prompt that clearly communicates your desired video scene. Follow these key components to create an optimized prompt:

Precise Prompt Formula: Main Subject + Scene + Motion + Camera Movement + Aesthetic Atmosphere

1. Main Subject: The focal point of the video, such as a person, an animal, an object, or even an imaginative entity.

2. Scene: The environment in which the action takes place, such as a bustling city, a tranquil forest, or a fantastical dreamscape.

3. Motion: Describes how the main subject or surroundings move, including actions, transformations, or environmental changes.

4. Camera Movement: Specifies professional cinematography techniques such as tracking, zooming, panning, handheld, and rotational shots to define how the scene unfolds visually.

5. Aesthetic Atmosphere: Defines the visual style and mood of the video, such as warm and cozy, cold and dramatic, or futuristic and neon-lit.

Example Prompts:

1. A couple sits on a park bench communicating. The camera maintains a fixed shot of the couple. The color tone of the picture is warm, and the atmosphere is cozy.

2. A lamb is grazing in a meadow. The camera slowly pushes forward toward the lamb. The color tone of the picture is natural and realistic.

3. A man in a suit eats noodles in a noodle shop. The camera gradually pulls away to show the noisy environment of the noodle shop. The picture has a natural color tone.

The Minimax T2V-01, while advanced, has some limitations to consider. The maximum duration of videos created with the Minimax T2V-01 is 6 seconds, and the resolution is limited to 720p. Furthermore, the Minimax T2V-01 may struggle with prompts that include too many simultaneous camera movements—it's recommended to limit this to three for best results. Despite these constraints, the Minimax T2V-01 remains one of the most user-controllable text-to-video models available today.

The Minimax T2V-01 is becoming increasingly popular among professional and indie video creators alike. Thanks to its high-definition output and advanced prompt-based camera control, the Minimax T2V-01 allows creators to rapidly prototype cinematic ideas or generate visual content without traditional filming. Although the Minimax T2V-01 is limited to 6-second clips, its quality and flexibility make it a valuable tool in a professional workflow.

Minimax I2V‑01 (often referred to as Hailuo I2V‑01) is an image-to-video model that brings still images to life by transforming them into dynamic video sequences. One of the standout features of Minimax I2V‑01 is its remarkable ability to maintain object consistency and capture fine details. With Minimax I2V‑01, whether it’s preserving vibrant colors, intricate textures, or overall composition, the model ensures that these elements remain stable throughout the video production process.

Minimax I2V-01 is an advanced image-to-video generation model designed to create smooth and dynamic animations from a single reference image. With Minimax I2V-01, the given image serves as the first frame of the video, establishing the subject's appearance and defining the overall aesthetic. Unlike Minimax T2V‑01 model, Minimax I2V-01 requires less descriptive input, as the image itself provides much of the necessary visual context, allowing for more intuitive and controlled generation.

1. Basic Prompt Structure

   A well-structured prompt for Minimax I2V-01 generation includes two essential

   1. Main Subject in the First Frame – The core elements of the scene, including characters, objects, and environmental details. The model recognizes these components and generates movement accordingly.
   2. Motion or Change – The type of movement or transformation in the video. This could be the subject moving, environmental shifts, or interactions between elements.

Example

Image: A small dog standing in a room with scattered clothes.

Prompt: The dog’s eyes begin to glow blue. The clothes in front of it start floating, folding neatly in mid-air before settling back down. As the dog’s eyes return to normal, the glow fades.

2. Enhancing Control with Detailed Prompts For more refined control over Minimax I2V-01’s output, prompts can incorporate additional details such as:
   1. Camera Movement – Instructions on how the camera should move, such as zooming in, panning, or tracking a subject.
   2. Aesthetic and Atmosphere – The overall mood or visual style, such as eerie lighting, cinematic framing, or fast-paced action.

Example

Image: A cat standing in a futuristic cityscape.

Prompt: The camera follows the cat as it dashes forward. White electric sparks flicker in its eyes, growing stronger as it picks up speed. The background blurs into streaks of light, transforming into a glowing time tunnel.

The Hailuo S2V‑01 is a powerful AI model designed to maintain character consistency in video content. Using just a single, clear reference image, Hailuo S2V‑01 accurately captures and preserves a subject's facial features and unique traits across every frame, ensuring a stable appearance even with changing camera angles and movements.

What sets Hailuo S2V‑01 apart is its flexibility. It allows creators to adjust posture, expressions, lighting, and more using simple text-based prompts while keeping the subject’s identity intact. This makes Hailuo S2V‑01 an ideal tool for generating dynamic, high-quality videos where consistency and creative control go hand in hand.

Hailuo S2V‑01 maintains character consistency through its advanced Subject Reference Model. It works as follows:

1. Reference Image Analysis: The model starts by analyzing a single, high-quality reference image of the subject. This image is used to extract detailed facial features and unique characteristics.
2. Feature Encoding: The extracted features are encoded into the model’s generation process. As the video is created, these features are applied to each frame, ensuring that the character’s appearance remains uniform even as they are placed in different contexts.
3. Consistent Detail Preservation: The underlying AI algorithms monitor and preserve subtle details—such as facial expressions and lighting nuances—throughout the video, ensuring a high degree of consistency from start to finish.