fastvideo.v1.pipelines.stages.text_encoding

Prompt encoding stages for diffusion pipelines.

This module contains implementations of prompt encoding stages for diffusion pipelines.

Module Contents

Classes

TextEncodingStage

Stage for encoding text prompts into embeddings for diffusion models.

Data

logger

API

class fastvideo.v1.pipelines.stages.text_encoding.TextEncodingStage(text_encoders, tokenizers)

Bases: fastvideo.v1.pipelines.stages.base.PipelineStage

Stage for encoding text prompts into embeddings for diffusion models.

This stage handles the encoding of text prompts into the embedding space expected by the diffusion model.

Initialization

Initialize the prompt encoding stage.

Parameters:

• enable_logging – Whether to enable logging for this stage.

• is_secondary – Whether this is a secondary text encoder.

forward(batch: fastvideo.v1.pipelines.pipeline_batch_info.ForwardBatch, fastvideo_args: fastvideo.v1.fastvideo_args.FastVideoArgs) → fastvideo.v1.pipelines.pipeline_batch_info.ForwardBatch

Encode the prompt into text encoder hidden states.

Parameters:

• batch – The current batch information.

• fastvideo_args – The inference arguments.

Returns:

The batch with encoded prompt embeddings.

fastvideo.v1.pipelines.stages.text_encoding.logger

‘init_logger(…)’