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Overview

RawUGC offers 5 AI video generation models. Each model has different capabilities, credit costs, and required parameters.

Sora 2 Text-to-Video

Create videos directly from text prompts. Required parameters: prompt Optional parameters: aspectRatio (portrait | landscape), nFrames (10 | 15), selectedCharacter

Sora 2 Image-to-Video

Generate videos from source images with text guidance. Required parameters: prompt, imageUrls Optional parameters: aspectRatio (portrait | landscape), nFrames (10 | 15), selectedCharacter

Kling 2.6 Motion Control

Transfer motion from a reference video to a character image. Ideal for dance videos and character animation. Required parameters: imageUrls, videoUrls, characterOrientation, mode Optional parameters: prompt (max 2500 chars)
Kling Motion Control costs 18 credits per video (3x other models) due to the complexity of motion transfer.

Veo 3.1 Quality

Google’s flagship video model with highest fidelity. Supports both text-to-video and optional image-to-video. Required parameters: prompt Optional parameters: imageUrls (up to 2), aspectRatio (16:9 | 9:16 | Auto)
With 1 image, the video unfolds from it. With 2 images, they serve as the first and last frame.

Veo 3.1 Fast

Cost-efficient variant of Veo 3.1 with faster generation and strong results. Same parameters as Veo 3.1 Quality. Required parameters: prompt Optional parameters: imageUrls (up to 2), aspectRatio (16:9 | 9:16 | Auto)