For n > 1, the image endpoints returned one preview grid instead of n images. The endpoints now run one model batch, save each decoded sample as its own file, and return one URL or base64 item for each image. This applies to generations and edits. A keyword-only return_samples field (default False) is added to OutputConfig, SamplingParam and ForwardBatch. Batched image requests set it and do not build preview frames. The worker keeps the sample tensor for these requests, and non-output ranks clear the field. Defaults and positional arguments do not change.
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V1 API
FastVideo's V1 API provides a streamlined interface for video generation tasks with powerful customization options. This page documents the primary components of the API.
Video Generator
This class will be the primary Python API for generating videos and images.
::: fastvideo.entrypoints.video_generator.VideoGenerator options: show_root_heading: true show_source: false members: - from_pretrained heading_level: 3
VideoGenerator.from_pretrained() should be the primary way of creating a new video generator.
Configuring FastVideo
The following two classes PipelineConfig and SamplingParam are used to configure initialization and sampling parameters, respectively.
PipelineConfig
::: fastvideo.configs.pipelines.base.PipelineConfig options: show_root_heading: true show_source: false members: - from_pretrained - dump_to_json heading_level: 4
SamplingParam
::: fastvideo.api.sampling_param.SamplingParam options: show_root_heading: true show_source: false members: - from_pretrained heading_level: 4
Returning samples without previews
Set OutputConfig(return_samples=True, return_frames=False, save_video=False)
to receive the decoded CPU tensor in GenerationResult.samples without building
preview grids or writing media. Pixel samples retain the existing float [0, 1]
contract. return_frames=True continues to return both samples and preview frames.
The legacy sampling/keyword interface accepts the same return_samples option.