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115 changes: 115 additions & 0 deletions generative_ai/imagen/edit_image_inpainting_remove_mask_mode.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 mode. The
mask mode is used to automatically select the background, foreground (i.e.,
the primary subject of the image), or an object based on segmentation class.
Inpainting can remove the object or background designated by the prompt.
Example usage:
python edit_image_inpainting_remove_mask_mode.py --project_id <project-id> \
--location <location> --input_file <filepath> --mask_mode <mode> \
--output_file <filepath> [--prompt <text>]
"""

# [START generativeaionvertexai_imagen_edit_image_inpainting_remove_mask_mode]

import argparse

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


def edit_image_inpainting_remove_mask_mode(
project_id: str,
location: str,
input_file: str,
mask_mode: str,
output_file: str,
prompt: str,
) -> vertexai.preview.vision_models.ImageGenerationResponse:
"""Edit a local image by removing an object 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_mode: Mask generation mode ('background', 'foreground', or 'semantic').
output_file: Local path to the output image file.
prompt: The optional text prompt describing what you want to see in the edited image.
"""

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

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

images = model.edit_image(
base_image=base_img,
mask_mode=mask_mode,
prompt=prompt,
edit_mode="inpainting-remove",
# Optional parameters
# For semantic mask mode, define the segmentation class IDs:
# segmentation_classes=[7], # a cat
# See https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/image-generation#segment-ids.
)

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_inpainting_remove_mask_mode]

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_mode",
help="The mask generation mode ('background', 'foreground', or 'semantic').",
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 see in the edited image.",
default="",
)
args = parser.parse_args()
edit_image_inpainting_remove_mask_mode(
args.project_id,
args.location,
args.input_file,
args.mask_mode,
args.output_file,
args.prompt,
)
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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_inpainting_remove_mask_mode

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, "woman.png")
_MASK_MODE = "foreground"
_OUTPUT_FILE = os.path.join(_RESOURCES, "sports_car.png")
_PROMPT = "sports car"


@backoff.on_exception(backoff.expo, ResourceExhausted, max_time=60)
def test_edit_image_inpainting_remove_mask_mode() -> None:
response = (
edit_image_inpainting_remove_mask_mode.edit_image_inpainting_remove_mask_mode(
_PROJECT_ID,
_LOCATION,
_INPUT_FILE,
_MASK_MODE,
_OUTPUT_FILE,
_PROMPT,
)
)

assert len(response[0]._image_bytes) > 1000
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2 changes: 1 addition & 1 deletion generative_ai/requirements.txt
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,6 @@ pandas==1.3.5; python_version == '3.7'
pandas==2.0.1; python_version > '3.7'
pillow==9.5.0; python_version < '3.8'
pillow==10.0.1; python_version >= '3.8'
google-cloud-aiplatform[pipelines]==1.42.1
google-cloud-aiplatform[pipelines]==1.46.0
google-auth==2.17.3
anthropic[vertex]==0.21.3