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-rw-r--r--modules/sd_samplers_common.py3
-rw-r--r--modules/shared.py2
2 files changed, 4 insertions, 1 deletions
diff --git a/modules/sd_samplers_common.py b/modules/sd_samplers_common.py
index fa3614ff..b6ad6830 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 2fd29904..9935d2a7 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"),
}))