X/Y plot support for switching checkpoints.

scripts/xy_grid.py

@@ -10,7 +10,9 @@ import gradio as gr
 from modules import images
 from modules.processing import process_images, Processed
 from modules.shared import opts, cmd_opts, state
+import modules.shared as shared
 import modules.sd_samplers
+import modules.sd_models
 import re
 
 
@@ -41,6 +43,15 @@ def apply_sampler(p, x, xs):
     p.sampler_index = sampler_index
 
 
+def apply_checkpoint(p, x, xs):
+    applicable = [info for info in modules.sd_models.checkpoints_list.values() if x in info.title]
+    assert len(applicable) > 0, f'Checkpoint {x} for found'
+
+    info = applicable[0]
+
+    modules.sd_models.reload_model_weights(shared.sd_model, info)
+
+
 def format_value_add_label(p, opt, x):
     if type(x) == float:
         x = round(x, 8)
@@ -74,6 +85,7 @@ axis_options = [
     AxisOption("CFG Scale", float, apply_field("cfg_scale"), format_value_add_label),
     AxisOption("Prompt S/R", str, apply_prompt, format_value),
     AxisOption("Sampler", str, apply_sampler, format_value),
+    AxisOption("Checkpoint name", str, apply_checkpoint, format_value),
     AxisOptionImg2Img("Denoising", float, apply_field("denoising_strength"), format_value_add_label), #  as it is now all AxisOptionImg2Img items must go after AxisOption ones
 ]
 
@@ -215,4 +227,7 @@ class Script(scripts.Script):
         if opts.grid_save:
             images.save_image(processed.images[0], p.outpath_grids, "xy_grid", prompt=p.prompt, seed=processed.seed, grid=True, p=p)
 
+        # restore checkpoint in case it was changed by axes
+        modules.sd_models.reload_model_weights(shared.sd_model)
+
         return processed