diff --git a/modules/sd_samplers_common.py b/modules/sd_samplers_common.py
index fa3614ff0a46b2c4ab3f33d92300087a8a093f5d..b6ad68307d547daac3ba15130c2a7953214d62f5 100644
--- a/modules/sd_samplers_common.py
+++ b/modules/sd_samplers_common.py
@@ -137,6 +137,9 @@ def apply_refiner(sampler):
     if completed_ratio <= shared.opts.sd_refiner_switch_at:
         return False
 
+    if shared.opts.sd_refiner_checkpoint == "None":
+        return False
+
     if shared.sd_model.sd_checkpoint_info.title == shared.opts.sd_refiner_checkpoint:
         return False
 
diff --git a/modules/shared.py b/modules/shared.py
index 2fd299048f48d8e2a75d51ccf9bad258d79c8726..9935d2a7c74237d46457906263d287d1dd0d18ae 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -462,7 +462,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer"),
     "upcast_attn": OptionInfo(False, "Upcast cross attention layer to float32"),
     "randn_source": OptionInfo("GPU", "Random number generator source.", gr.Radio, {"choices": ["GPU", "CPU", "NV"]}).info("changes seeds drastically; use CPU to produce the same picture across different videocard vendors; use NV to produce same picture as on NVidia videocards"),
-    "sd_refiner_checkpoint": OptionInfo(None, "Refiner checkpoint", gr.Dropdown, lambda: {"choices": list_checkpoint_tiles()}, refresh=refresh_checkpoints).info("switch to another model in the middle of generation"),
+    "sd_refiner_checkpoint": OptionInfo("None", "Refiner checkpoint", gr.Dropdown, lambda: {"choices": ["None"] + list_checkpoint_tiles()}, refresh=refresh_checkpoints).info("switch to another model in the middle of generation"),
     "sd_refiner_switch_at": OptionInfo(1.0, "Refiner switch at", gr.Slider, {"minimum": 0.01, "maximum": 1.0, "step": 0.01}).info("fraction of sampling steps when the swtch to refiner model should happen; 1=never, 0.5=switch in the middle of generation"),
 }))