Skip to content

Inpainting image generation task

InpaintingImageGenerationTask

Bases: BaseImageGenerationTask

A task that modifies a select region within an image using a mask. Accepts a text prompt, image, and mask as input in one of the following formats: - tuple of (template string, ImageArtifact, ImageArtifact) - tuple of (TextArtifact, ImageArtifact, ImageArtifact) - Callable that returns a tuple of (TextArtifact, ImageArtifact, ImageArtifact)

Attributes:

Name Type Description
image_generation_engine InpaintingImageGenerationEngine

The engine used to generate the image.

negative_rulesets InpaintingImageGenerationEngine

List of negatively-weighted rulesets applied to the text prompt, if supported by the driver.

negative_rules InpaintingImageGenerationEngine

List of negatively-weighted rules applied to the text prompt, if supported by the driver.

output_dir InpaintingImageGenerationEngine

If provided, the generated image will be written to disk in output_dir.

output_file InpaintingImageGenerationEngine

If provided, the generated image will be written to disk as output_file.

Source code in griptape/griptape/tasks/inpainting_image_generation_task.py
@define
class InpaintingImageGenerationTask(BaseImageGenerationTask):
    """A task that modifies a select region within an image using a mask. Accepts a text prompt, image, and mask as
    input in one of the following formats:
    - tuple of (template string, ImageArtifact, ImageArtifact)
    - tuple of (TextArtifact, ImageArtifact, ImageArtifact)
    - Callable that returns a tuple of (TextArtifact, ImageArtifact, ImageArtifact)

    Attributes:
        image_generation_engine: The engine used to generate the image.
        negative_rulesets: List of negatively-weighted rulesets applied to the text prompt, if supported by the driver.
        negative_rules: List of negatively-weighted rules applied to the text prompt, if supported by the driver.
        output_dir: If provided, the generated image will be written to disk in output_dir.
        output_file: If provided, the generated image will be written to disk as output_file.
    """

    image_generation_engine: InpaintingImageGenerationEngine = field(kw_only=True)
    _input: tuple[str | TextArtifact, ImageArtifact, ImageArtifact] | Callable[
        [BaseTask], tuple[TextArtifact, ImageArtifact, ImageArtifact]
    ] = field(default=None)

    @property
    def input(self) -> tuple[TextArtifact, ImageArtifact, ImageArtifact]:
        if isinstance(self._input, Tuple):
            if isinstance(self._input[0], TextArtifact):
                input_text = self._input[0]
            else:
                input_text = TextArtifact(J2().render_from_string(self._input[0], **self.full_context))

            return input_text, self._input[1], self._input[2]
        elif isinstance(self._input, Callable):
            return self._input(self)
        else:
            raise ValueError("Input must be a tuple of (text, image, mask) or a callable that returns such a tuple.")

    @input.setter
    def input(self, value: tuple[TextArtifact, ImageArtifact, ImageArtifact]) -> None:
        self._input = value

    def run(self) -> ImageArtifact:
        prompt_artifact = self.input[0]
        image_artifact = self.input[1]
        mask_artifact = self.input[2]

        output_image_artifact = self.image_generation_engine.run(
            prompts=[prompt_artifact.to_text()],
            image=image_artifact,
            mask=mask_artifact,
            rulesets=self.all_rulesets,
            negative_rulesets=self.negative_rulesets,
        )

        if self.output_dir or self.output_file:
            self._write_to_file(output_image_artifact)

        return output_image_artifact

image_generation_engine: InpaintingImageGenerationEngine = field(kw_only=True) class-attribute instance-attribute

input: tuple[TextArtifact, ImageArtifact, ImageArtifact] property writable

run()

Source code in griptape/griptape/tasks/inpainting_image_generation_task.py
def run(self) -> ImageArtifact:
    prompt_artifact = self.input[0]
    image_artifact = self.input[1]
    mask_artifact = self.input[2]

    output_image_artifact = self.image_generation_engine.run(
        prompts=[prompt_artifact.to_text()],
        image=image_artifact,
        mask=mask_artifact,
        rulesets=self.all_rulesets,
        negative_rulesets=self.negative_rulesets,
    )

    if self.output_dir or self.output_file:
        self._write_to_file(output_image_artifact)

    return output_image_artifact