Merge pull request #8847 from space-nuko/remove-watermark-option
Remove "do not add watermark to images" option
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579e13df7c
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@ -85,7 +85,6 @@ titles = {
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"vram": "Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).",
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"Eta noise seed delta": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
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"Do not add watermark to images": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
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"Filename word regex": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
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"Filename join string": "This string will be used to join split words into a single line if the option above is enabled.",
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@ -269,7 +269,6 @@ options_templates.update(options_section(('saving-images', "Saving images/grids"
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"use_original_name_batch": OptionInfo(True, "Use original name for output filename during batch process in extras tab"),
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"use_upscaler_name_as_suffix": OptionInfo(False, "Use upscaler name as filename suffix in the extras tab"),
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"save_selected_only": OptionInfo(True, "When using 'Save' button, only save a single selected image"),
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"do_not_add_watermark": OptionInfo(False, "Do not add watermark to images"),
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"save_init_img": OptionInfo(False, "Save init images when using img2img"),
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"temp_dir": OptionInfo("", "Directory for temporary images; leave empty for default"),
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@ -6,7 +6,6 @@ fonts
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font-roboto
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gfpgan
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gradio==3.27
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invisible-watermark
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numpy
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omegaconf
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opencv-contrib-python
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