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#11386)

* feat: add image outpainting mask (with mask file) sample and test for Imagen 2

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irataxy authored Apr 3, 2024
1 parent 322be3f commit cdba5d9
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110 changes: 110 additions & 0 deletions generative_ai/imagen/edit_image_outpainting_mask.py
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# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Google Cloud Vertex AI sample for editing an image using a mask file.
Outpainting lets you expand the content of a base image to fit a larger or
differently sized mask canvas.
Example usage:
python edit_image_outpainting_mask.py --project_id <project-id> \
--location <location> --input_file <filepath> --mask_file <filepath> \
--output_file <filepath> [--prompt <text>]
"""

# [START generativeaionvertexai_imagen_edit_image_outpainting_mask]

import argparse

import vertexai
from vertexai.preview.vision_models import Image, ImageGenerationModel


def edit_image_outpainting_mask(
project_id: str,
location: str,
input_file: str,
mask_file: str,
output_file: str,
prompt: str,
) -> vertexai.preview.vision_models.ImageGenerationResponse:
"""Edit a local image by expanding the content of a base image using a mask.
Args:
project_id: Google Cloud project ID, used to initialize Vertex AI.
location: Google Cloud region, used to initialize Vertex AI.
input_file: Local path to the input image file. Image can be in PNG or JPEG format.
mask_file: Local path to the mask file. Image can be in PNG or JPEG format.
output_file: Local path to the output image file.
prompt: The optional text prompt describing what you want to see inserted."""

vertexai.init(project=project_id, location=location)

model = ImageGenerationModel.from_pretrained("imagegeneration@006")
base_img = Image.load_from_file(location=input_file)
mask_img = Image.load_from_file(location=mask_file)

images = model.edit_image(
base_image=base_img,
mask=mask_img,
prompt=prompt,
edit_mode="outpainting",
)

images[0].save(location=output_file)

# Optional. View the edited image in a notebook.
# images[0].show()

print(f"Created output image using {len(images[0]._image_bytes)} bytes")

return images


# [END generativeaionvertexai_imagen_edit_image_outpainting_mask]

if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--project_id", help="Your Cloud project ID.", required=True)
parser.add_argument(
"--location",
help="The location in which to initialize Vertex AI.",
default="us-central1",
)
parser.add_argument(
"--input_file",
help="The local path to the input file (e.g., 'my-input.png').",
required=True,
)
parser.add_argument(
"--mask_file",
help="The local path to the mask file (e.g., 'my-mask.png').",
required=True,
)
parser.add_argument(
"--output_file",
help="The local path to the output file (e.g., 'my-output.png').",
required=True,
)
parser.add_argument(
"--prompt",
help="The optional text prompt describing what you want to insert into the masked area.",
default="",
)
args = parser.parse_args()
edit_image_outpainting_mask(
args.project_id,
args.location,
args.input_file,
args.mask_file,
args.output_file,
args.prompt,
)
44 changes: 44 additions & 0 deletions generative_ai/imagen/edit_image_outpainting_mask_test.py
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# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import os

import backoff

import edit_image_outpainting_mask

from google.api_core.exceptions import ResourceExhausted


_RESOURCES = os.path.join(os.path.dirname(__file__), "test_resources")
_PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT")
_LOCATION = "us-central1"
_INPUT_FILE = os.path.join(_RESOURCES, "roller_skaters.png")
_MASK_FILE = os.path.join(_RESOURCES, "roller_skaters_mask.png")
_OUTPUT_FILE = os.path.join(_RESOURCES, "roller_skaters_downtown.png")
_PROMPT = "city with skyscrapers"


@backoff.on_exception(backoff.expo, ResourceExhausted, max_time=60)
def test_edit_image_outpainting_mask() -> None:
response = edit_image_outpainting_mask.edit_image_outpainting_mask(
_PROJECT_ID,
_LOCATION,
_INPUT_FILE,
_MASK_FILE,
_OUTPUT_FILE,
_PROMPT,
)

assert len(response[0]._image_bytes) > 1000
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