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Merge pull request #1222 from bmaltais/inverse-sigmoid-interpolation
(feat): Checkpoint merge using Inverse sigmoid interpolation
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@ -150,6 +150,12 @@ def run_modelmerger(primary_model_name, secondary_model_name, interp_method, int
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alpha = alpha * alpha * (3 - (2 * alpha))
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return theta0 + ((theta1 - theta0) * alpha)
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# Inverse Smoothstep (https://en.wikipedia.org/wiki/Smoothstep)
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def inv_sigmoid(theta0, theta1, alpha):
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import math
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alpha = 0.5 - math.sin(math.asin(1.0 - 2.0 * alpha) / 3.0)
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return theta0 + ((theta1 - theta0) * alpha)
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if os.path.exists(primary_model_name):
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primary_model_filename = primary_model_name
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primary_model_name = os.path.splitext(os.path.basename(primary_model_name))[0]
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@ -174,6 +180,7 @@ def run_modelmerger(primary_model_name, secondary_model_name, interp_method, int
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theta_funcs = {
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"Weighted Sum": weighted_sum,
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"Sigmoid": sigmoid,
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"Inverse Sigmoid": inv_sigmoid
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}
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theta_func = theta_funcs[interp_method]
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@ -864,7 +864,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger):
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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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interp_method = gr.Radio(choices=["Weighted Sum", "Sigmoid"], value="Weighted Sum", label="Interpolation Method")
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interp_method = gr.Radio(choices=["Weighted Sum", "Sigmoid", "Inverse Sigmoid"], value="Weighted Sum", label="Interpolation Method")
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submit = gr.Button(elem_id="modelmerger_merge", label="Merge", variant='primary')
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with gr.Column(variant='panel'):
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