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@huggingface/tasks

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/** * Inference code generated from the JSON schema spec in ./spec * * Using src/scripts/inference-codegen */ /** * Inputs for Text To Video inference */ export interface TextToVideoInput { /** * The input text data (sometimes called "prompt") */ inputs: string; /** * Additional inference parameters for Text To Video */ parameters?: TextToVideoParameters; [property: string]: unknown; } /** * Additional inference parameters for Text To Video */ export interface TextToVideoParameters { /** * A higher guidance scale value encourages the model to generate videos closely linked to * the text prompt, but values too high may cause saturation and other artifacts. */ guidance_scale?: number; /** * One or several prompt to guide what NOT to include in video generation. */ negative_prompt?: string[]; /** * The num_frames parameter determines how many video frames are generated. */ num_frames?: number; /** * The number of denoising steps. More denoising steps usually lead to a higher quality * video at the expense of slower inference. */ num_inference_steps?: number; /** * Seed for the random number generator. */ seed?: number; [property: string]: unknown; } /** * Outputs of inference for the Text To Video task */ export interface TextToVideoOutput { /** * The generated video returned as raw bytes in the payload. */ video: unknown; [property: string]: unknown; } //# sourceMappingURL=inference.d.ts.map