add hypernetwork multipliers

1 files changed, 8 insertions, 1 deletions

diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py
index 02931ae6..efb63af5 100644
--- a/scripts/xy_grid.py
+++ b/scripts/xy_grid.py
@@ -107,6 +107,10 @@ def apply_hypernetwork(p, x, xs):
     hypernetwork.load_hypernetwork(name)

 

 

+def apply_hypernetwork_strength(p, x, xs):

+    hypernetwork.apply_strength(x)

+

+

 def confirm_hypernetworks(p, xs):

     for x in xs:

         if x.lower() in ["", "none"]:

@@ -165,6 +169,7 @@ axis_options = [
     AxisOption("Sampler", str, apply_sampler, format_value, confirm_samplers),

     AxisOption("Checkpoint name", str, apply_checkpoint, format_value, confirm_checkpoints),

     AxisOption("Hypernetwork", str, apply_hypernetwork, format_value, confirm_hypernetworks),

+    AxisOption("Hypernet str.", float, apply_hypernetwork_strength, format_value_add_label, None),

     AxisOption("Sigma Churn", float, apply_field("s_churn"), format_value_add_label, None),

     AxisOption("Sigma min", float, apply_field("s_tmin"), format_value_add_label, None),

     AxisOption("Sigma max", float, apply_field("s_tmax"), format_value_add_label, None),

@@ -250,7 +255,7 @@ class Script(scripts.Script):
             y_values = gr.Textbox(label="Y values", visible=False, lines=1)

         

         draw_legend = gr.Checkbox(label='Draw legend', value=True)

-        include_lone_images = gr.Checkbox(label='Include Separate Images', value=True)

+        include_lone_images = gr.Checkbox(label='Include Separate Images', value=False)

         no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False)

 

         return [x_type, x_values, y_type, y_values, draw_legend, include_lone_images, no_fixed_seeds]

@@ -377,6 +382,8 @@ class Script(scripts.Script):
         modules.sd_models.reload_model_weights(shared.sd_model)

 

         hypernetwork.load_hypernetwork(opts.sd_hypernetwork)

+        hypernetwork.apply_strength()

+

 

         opts.data["CLIP_stop_at_last_layers"] = CLIP_stop_at_last_layers