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Disable auto weights swap with config option
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cd9c6e0edf
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@ -266,6 +266,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
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"enable_emphasis": OptionInfo(True, "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention"),
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"enable_emphasis": OptionInfo(True, "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention"),
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"use_old_emphasis_implementation": OptionInfo(False, "Use old emphasis implementation. Can be useful to reproduce old seeds."),
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"use_old_emphasis_implementation": OptionInfo(False, "Use old emphasis implementation. Can be useful to reproduce old seeds."),
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"enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
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"enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
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"disable_weights_auto_swap": OptionInfo(False, "Disable auto swapping weights to match model hash in prompts"),
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"comma_padding_backtrack": OptionInfo(20, "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1 }),
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"comma_padding_backtrack": OptionInfo(20, "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1 }),
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"filter_nsfw": OptionInfo(False, "Filter NSFW content"),
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"filter_nsfw": OptionInfo(False, "Filter NSFW content"),
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'CLIP_stop_at_last_layers': OptionInfo(1, "Stop At last layers of CLIP model", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),
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'CLIP_stop_at_last_layers': OptionInfo(1, "Stop At last layers of CLIP model", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),
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@ -542,6 +542,10 @@ def apply_setting(key, value):
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if value is None:
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if value is None:
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return gr.update()
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return gr.update()
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# dont allow model to be swapped when model hash exists in prompt
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if key == "sd_model_checkpoint" and opts.disable_weights_auto_swap:
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return gr.update()
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if key == "sd_model_checkpoint":
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if key == "sd_model_checkpoint":
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ckpt_info = sd_models.get_closet_checkpoint_match(value)
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ckpt_info = sd_models.get_closet_checkpoint_match(value)
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