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Browse filesFormer-commit-id: b592fd79b79995768b392daef00318f2b980fe37
- __pycache__/config_settings.cpython-310.pyc +0 -0
- api/yolov8l.pt.REMOVED.git-id +0 -1
- picpilot.egg-info/PKG-INFO +7 -0
- picpilot.egg-info/SOURCES.txt +0 -1
- scripts/__pycache__/__init__.cpython-310.pyc +0 -0
- scripts/__pycache__/api_utils.cpython-310.pyc +0 -0
- scripts/__pycache__/config.cpython-310.pyc +0 -0
- scripts/__pycache__/inpainting_pipeline.cpython-310.pyc +0 -0
- scripts/__pycache__/s3_manager.cpython-310.pyc +0 -0
- scripts/__pycache__/video_pipeline.cpython-310.pyc +0 -0
- scripts/kandinsky3_inpainting.py +0 -29
- ui/requirements.txt +0 -0
__pycache__/config_settings.cpython-310.pyc
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api/yolov8l.pt.REMOVED.git-id
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picpilot.egg-info/PKG-INFO
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Metadata-Version: 2.1
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Name: picpilot
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Version: 0.1
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License-File: LICENSE
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Metadata-Version: 2.1
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Name: picpilot
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Version: 0.1
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Summary: UNKNOWN
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Home-page: UNKNOWN
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License: UNKNOWN
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Platform: UNKNOWN
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License-File: LICENSE
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picpilot.egg-info/SOURCES.txt
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scripts/api_utils.py
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scripts/config.py
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scripts/inpainting_pipeline.py
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scripts/kandinsky3_inpainting.py
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scripts/load_pipeline.py
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scripts/products10k_captions.py
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scripts/s3_manager.py
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scripts/api_utils.py
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scripts/config.py
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scripts/inpainting_pipeline.py
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scripts/load_pipeline.py
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scripts/products10k_captions.py
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scripts/s3_manager.py
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scripts/__pycache__/__init__.cpython-310.pyc
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scripts/__pycache__/api_utils.cpython-310.pyc
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scripts/__pycache__/config.cpython-310.pyc
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scripts/__pycache__/inpainting_pipeline.cpython-310.pyc
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scripts/__pycache__/s3_manager.cpython-310.pyc
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scripts/__pycache__/video_pipeline.cpython-310.pyc
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scripts/kandinsky3_inpainting.py
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import torch
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from Kandinsky.kandinsky3 import get_inpainting_pipeline
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from scripts.api_utils import ImageAugmentation,accelerator
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from diffusers.utils import load_image
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import numpy as np
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from PIL import Image
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device_map = torch.device(accelerator())
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dtype_map = {
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'unet': torch.float16,
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'text_encoder': torch.float16,
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'movq': torch.float32,
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}
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pipe = get_inpainting_pipeline(
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device_map, dtype_map,
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)
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image = Image.open('/home/PicPilot/sample_data/image.png')
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mask_image = Image.open('/home/PicPilot/sample_data/mask_image.png')
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image = load_image(image=image)
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mask_image = np.array(mask_image)
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image = pipe( "Product on the Kitchen used for cooking", image, mask_image)
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image.save('output.jpg')
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ui/requirements.txt
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