顺序管道块

SequentialPipelineBlocks 是一种多块类型,它将其他 ModularPipelineBlocks 按顺序组合在一起。数据通过 intermediate_inputsintermediate_outputs 线性地从一个块流向下一个块。SequentialPipelineBlocks 中的每个块通常代表管道中的一个步骤,通过组合它们,您逐步构建一个管道。

本指南向您展示如何将两个块连接成一个 SequentialPipelineBlocks

创建两个 ModularPipelineBlocks。第一个块 InputBlock 输出一个 batch_size 值,第二个块 ImageEncoderBlock 使用 batch_size 作为 intermediate_inputs

InputBlock
ImageEncoderBlock
from diffusers.modular_pipelines import ModularPipelineBlocks, InputParam, OutputParam

class InputBlock(ModularPipelineBlocks):

    @property
    def inputs(self):
        return [
            InputParam(name="prompt", type_hint=list, description="list of text prompts"),
            InputParam(name="num_images_per_prompt", type_hint=int, description="number of images per prompt"),
        ]

    @property
    def intermediate_outputs(self):
        return [
            OutputParam(name="batch_size", description="calculated batch size"),
        ]

    @property
    def description(self):
        return "A block that determines batch_size based on the number of prompts and num_images_per_prompt argument."

    def __call__(self, components, state):
        block_state = self.get_block_state(state)
        batch_size = len(block_state.prompt)
        block_state.batch_size = batch_size * block_state.num_images_per_prompt
        self.set_block_state(state, block_state)
        return components, state

通过定义一个InsertableDict来连接两个块,将块名称映射到块实例。块按照它们在blocks_dict中注册的顺序执行。

使用from_blocks_dict()来创建一个SequentialPipelineBlocks

from diffusers.modular_pipelines import SequentialPipelineBlocks, InsertableDict

blocks_dict = InsertableDict()
blocks_dict["input"] = input_block
blocks_dict["image_encoder"] = image_encoder_block

blocks = SequentialPipelineBlocks.from_blocks_dict(blocks_dict)

通过调用blocks来检查SequentialPipelineBlocks中的子块,要获取更多关于输入和输出的详细信息,可以访问docs属性。

print(blocks)
print(blocks.doc)
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