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-Fix interp_amount rounding in filename
-Sort list of checkpoints in list
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@ -186,9 +186,9 @@ def run_modelmerger(primary_model_name, secondary_model_name, interp_method, int
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if 'model' in key and key not in theta_0:
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theta_0[key] = theta_1[key]
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output_modelname = 'models/' + primary_model_name + '_' + str(interp_amount) + '-' + secondary_model_name + '_' + str(float(1.0) - interp_amount) + '-' + interp_method.replace(" ", "_") + '-merged.ckpt'
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output_modelname = 'models/' + primary_model_name + '_' + str(round(interp_amount,2)) + '-' + secondary_model_name + '_' + str(round((float(1.0) - interp_amount),2)) + '-' + interp_method.replace(" ", "_") + '-merged.ckpt'
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print(f"Saving to {output_modelname}...")
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torch.save(primary_model, output_modelname)
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print(f"Checkpoint saved.")
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return "Checkpoint saved to " + output_modelname
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return "Checkpoint saved to " + output_modelname
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@ -860,7 +860,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger):
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gr.HTML(value="<p>A merger of the two checkpoints will be generated in your <b>/models</b> directory.</p>")
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with gr.Row():
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ckpt_name_list = [x.model_name for x in modules.sd_models.checkpoints_list.values()]
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ckpt_name_list = sorted([x.model_name for x in modules.sd_models.checkpoints_list.values()])
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primary_model_name = gr.Dropdown(ckpt_name_list, elem_id="modelmerger_primary_model_name", label="Primary Model Name")
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secondary_model_name = gr.Dropdown(ckpt_name_list, elem_id="modelmerger_secondary_model_name", label="Secondary Model Name")
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interp_amount = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Interpolation Amount', value=0.3)
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