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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Merge branch 'dev' into Branch_AddNewFilenameGen
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@@ -261,9 +261,12 @@ def resize_image(resize_mode, im, width, height, upscaler_name=None):
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if scale > 1.0:
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upscalers = [x for x in shared.sd_upscalers if x.name == upscaler_name]
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assert len(upscalers) > 0, f"could not find upscaler named {upscaler_name}"
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if len(upscalers) == 0:
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upscaler = shared.sd_upscalers[0]
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print(f"could not find upscaler named {upscaler_name or '<empty string>'}, using {upscaler.name} as a fallback")
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else:
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upscaler = upscalers[0]
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upscaler = upscalers[0]
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im = upscaler.scaler.upscale(im, scale, upscaler.data_path)
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if im.width != w or im.height != h:
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@@ -350,6 +353,7 @@ class FilenameGenerator:
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'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
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'prompt_words': lambda self: self.prompt_words(),
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'hasprompt': lambda self, *args: self.hasprompt(*args), #accept formats:[hasprompt<prompt1|default><prompt2>..]
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'clip_skip': lambda self: opts.data["CLIP_stop_at_last_layers"],
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}
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default_time_format = '%Y%m%d%H%M%S'
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@@ -662,6 +666,8 @@ Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}
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def image_data(data):
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import gradio as gr
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try:
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image = Image.open(io.BytesIO(data))
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textinfo, _ = read_info_from_image(image)
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@@ -677,7 +683,7 @@ def image_data(data):
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except Exception:
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pass
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return '', None
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return gr.update(), None
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def flatten(img, bgcolor):
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