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-rw-r--r--modules/sd_models.py5
-rw-r--r--modules/ui.py4
2 files changed, 5 insertions, 4 deletions
diff --git a/modules/sd_models.py b/modules/sd_models.py
index 1d93d893..ba15b451 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -303,12 +303,13 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
sd_models_xl.extend_sdxl(model)
model.load_state_dict(state_dict, strict=False)
- del state_dict
timer.record("apply weights to model")
if shared.opts.sd_checkpoint_cache > 0:
# cache newly loaded model
- checkpoints_loaded[checkpoint_info] = model.state_dict().copy()
+ checkpoints_loaded[checkpoint_info] = state_dict
+
+ del state_dict
if shared.cmd_opts.opt_channelslast:
model.to(memory_format=torch.channels_last)
diff --git a/modules/ui.py b/modules/ui.py
index 2f3f74b5..586174b8 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -592,8 +592,8 @@ def create_ui():
(seed_resize_from_h, "Seed resize from-2"),
(toprow.ui_styles.dropdown, lambda d: d["Styles array"] if isinstance(d.get("Styles array"), list) else gr.update()),
(denoising_strength, "Denoising strength"),
- (enable_hr, lambda d: "Denoising strength" in d),
- (hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d)),
+ (enable_hr, lambda d: "Denoising strength" in d and ("Hires upscale" in d or "Hires upscaler" in d or "Hires resize-1" in d)),
+ (hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d and ("Hires upscale" in d or "Hires upscaler" in d or "Hires resize-1" in d))),
(hr_scale, "Hires upscale"),
(hr_upscaler, "Hires upscaler"),
(hr_second_pass_steps, "Hires steps"),