v1.0.0 update
This commit is contained in:
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# -*- coding: utf-8 -*-
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# Copyright (c) Alibaba, Inc. and its affiliates.
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# Configuration file for the Sphinx documentation builder.
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#
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# This file only contains a selection of the most common options. For a full
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@@ -29,8 +29,21 @@ Given an original image, image editing aims to generate an image that align with
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<td><img src="../../../asset/images/stylebooth/retrogame.jpeg" width="240"></td>
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<td><img src="../../../asset/images/stylebooth/vangogh.jpeg" width="240"></td>
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</tr>
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<tr>
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<td><strong>Origin Image</strong></td>
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<td><strong>Lowpoly</strong></td>
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<td><strong>Colored Pencil Art</strong></td>
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<td><strong>Watercolor</strong></td>
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<td><strong>misc-disco</strong></td>
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</tr>
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<tr>
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<td><img src="../../../asset/images/stylebooth/mountain.jpg" width="240"></td>
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<td><img src="../../../asset/images/stylebooth/lowpoly.jpg" width="240"></td>
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<td><img src="../../../asset/images/stylebooth/colorpencil.jpeg" width="240"></td>
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<td><img src="../../../asset/images/stylebooth/watercolor.jpeg" width="240"></td>
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<td><img src="../../../asset/images/stylebooth/disco.jpeg" width="240"></td>
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</tr>
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</table>
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## Features
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| **Text-Based** | **Exemplar-Based** |
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@@ -92,7 +105,7 @@ class DiffusionInferenceTest(unittest.TestCase):
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output = diff_infer({'prompt': 'Let this image be in the style of sai-lowpoly'},
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style_edit_image=Image.open('asset/images/inpainting_text_ref/ex4_scene_im.jpg'),
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style_guide_scale_text=7.5,
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style_guide_scale_image=0.5)
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style_guide_scale_image=1.5)
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save_path = os.path.join(self.tmp_dir,
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'stylebooth_test_lowpoly_cute_dog.png')
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save_image(output['images'], save_path)
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@@ -16,7 +16,11 @@ print(next(iter(ms_train_dataset)))
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## CSV Format
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For the data format used by SCEPTER Studio, please refer to [3D_example_csv.zip](https://www.modelscope.cn/api/v1/models/iic/scepter/repo?Revision=master&FilePath=datasets/3D_example_csv.zip).
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For the data format used by SCEPTER Studio, please refer to [3D_example_csv.zip](https://www.modelscope.cn/api/v1/models/iic/scepter/repo?Revision=master&FilePath=datasets/3D_example_csv.zip) and [hed_pair.zip](https://www.modelscope.cn/api/v1/models/iic/scepter/repo?Revision=master&FilePath=datasets%2Fhed_pair.zip).
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```shell
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mkdir -p cache/datasets/ && wget 'https://www.modelscope.cn/api/v1/models/iic/scepter/repo?Revision=master&FilePath=datasets/3D_example_csv.zip' -O cache/datasets/3D_example_csv.zip && unzip cache/datasets/3D_example_csv.zip -d cache/datasets/ && rm cache/datasets/3D_example_csv.zip
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mkdir -p cache/datasets/ && wget 'https://www.modelscope.cn/api/v1/models/iic/scepter/repo?Revision=master&FilePath=datasets/hed_pair.zip' -O cache/datasets/hed_pair.zip && unzip cache/datasets/hed_pair.zip -d cache/datasets/ && rm cache/datasets/hed_pair.zip
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```
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## TXT Format
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@@ -24,3 +28,4 @@ To facilitate starting training in command-line mode, you can use a dataset in t
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```shell
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mkdir -p cache/datasets/ && wget 'https://www.modelscope.cn/api/v1/models/iic/scepter/repo?Revision=master&FilePath=datasets/3D_example_txt.zip' -O cache/datasets/3D_example_txt.zip && unzip cache/datasets/3D_example_txt.zip -d cache/datasets/ && rm cache/datasets/3D_example_txt.zip
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```
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@@ -40,6 +40,6 @@ python scepter/tools/run_inference.py --cfg scepter/methods/scedit/t2i/sd15_512_
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- SCEdit
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```shell
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python scepter/tools/run_inference.py --cfg scepter/methods/scedit/ctr/sd21_768_sce_ctr_canny.yaml --num_samples 1 --prompt 'a single flower is shown in front of a tree' --save_folder 'test_flower_canny' --image_size 768 --task control --image 'asset/images/flower.jpg' --control_mode canny --pretrained_model ms://damo/scepter_scedit@controllable_model/SD2.1/canny_control/0_SwiftSCETuning/pytorch_model.bin # canny
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python scepter/tools/run_inference.py --cfg scepter/methods/scedit/ctr/sd21_768_sce_ctr_pose.yaml --num_samples 1 --prompt 'super mario' --save_folder 'test_mario_pose' --image_size 768 --task control --image 'asset/images/pose_source.png' --control_mode source --pretrained_model ms://damo/scepter_scedit@controllable_model/SD2.1/pose_control/0_SwiftSCETuning/pytorch_model.bin # pose
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python scepter/tools/run_inference.py --cfg scepter/methods/scedit/ctr/sd21_768_sce_ctr_canny.yaml --num_samples 1 --prompt 'a single flower is shown in front of a tree' --save_folder 'test_flower_canny' --image_size 768 --task control --image 'asset/images/flower.jpg' --control_mode canny --pretrained_model ms://iic/scepter_scedit@controllable_model/SD2.1/canny_control/0_SwiftSCETuning/pytorch_model.bin # canny
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python scepter/tools/run_inference.py --cfg scepter/methods/scedit/ctr/sd21_768_sce_ctr_pose.yaml --num_samples 1 --prompt 'super mario' --save_folder 'test_mario_pose' --image_size 768 --task control --image 'asset/images/pose_source.png' --control_mode source --pretrained_model ms://iic/scepter_scedit@controllable_model/SD2.1/pose_control/0_SwiftSCETuning/pytorch_model.bin # pose
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```
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@@ -1,4 +1,5 @@
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# -*- coding: utf-8 -*-
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# Copyright (c) Alibaba, Inc. and its affiliates.
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# Configuration file for the Sphinx documentation builder.
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#
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# This file only contains a selection of the most common options. For a full
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