# auto_docstring
class FluxTextEncoderStep(SequentialPipelineBlocks):
    ...

python utils/modular_auto_docstring.py --fix_and_overwrite

# auto_docstring
class FluxTextEncoderStep(SequentialPipelineBlocks):
    """
    Text input processing step that standardizes text embeddings for the pipeline.

    Inputs:
        prompt_embeds (`torch.Tensor`) *required*:
            text embeddings used to guide the image generation.
        ...

    Outputs:
        prompt_embeds (`torch.Tensor`):
            text embeddings used to guide the image generation.
        ...
    """

# Check that all marked classes have up-to-date docstrings
python utils/modular_auto_docstring.py

# Check a specific file or directory
python utils/modular_auto_docstring.py src/diffusers/modular_pipelines/flux/

Found the following # auto_docstring markers that need docstrings:
- src/diffusers/modular_pipelines/flux/encoders.py: FluxTextEncoderStep at line 42

Run `python utils/modular_auto_docstring.py --fix_and_overwrite` to fix them.

from diffusers.modular_pipelines import InputParam

InputParam(
    name="guidance_scale",
    type_hint=float,
    default=7.5,
    description="Scale for classifier-free guidance.",
)

InputParam.template("prompt")
# Equivalent to:
# InputParam(name="prompt", type_hint=str, required=True,
#            description="The prompt or prompts to guide image generation.")

# Override the default value
InputParam.template("num_inference_steps", default=28)

# Add a note to the description
InputParam.template("prompt_embeds", note="batch-expanded")
# description becomes: "text embeddings used to guide the image generation. ... (batch-expanded)"

from diffusers.modular_pipelines import OutputParam

OutputParam(name="image_latents", type_hint=torch.Tensor, description="Encoded image latents.")

OutputParam.template("latents")

# Add a note to the description
OutputParam.template("prompt_embeds", note="batch-expanded")