minor formatting updates

modules/call_queue.py

@@ -93,14 +93,11 @@ def wrap_gradio_call(func, extra_outputs=None, add_stats=False):
             reserved_peak = mem_stats['reserved_peak']
             sys_peak = mem_stats['system_peak']
             sys_total = mem_stats['total']
-            sys_pct = round(sys_peak/max(sys_total, 1) * 100, 2)
-
-            vram_html = f"<p class='vram'>Torch active/reserved: {active_peak}/{reserved_peak} MiB, <wbr>Sys VRAM: {sys_peak}/{sys_total} MiB ({sys_pct}%)</p>"
+            vram_html = f" | <p class='vram'>GPU active {active_peak} MB reserved {reserved_peak} MB | System peak {sys_peak} MB total {sys_total} MB</p>"
         else:
             vram_html = ''
 
-        # last item is always HTML
-        res[-1] += f"<div class='performance'><p class='time'>Time taken: <wbr>{elapsed_text}</p>{vram_html}</div>"
+        res[-1] += f"<div class='performance'><p class='time'>Time taken: {elapsed_text}</p>{vram_html}</div>"
 
         return tuple(res)
 

modules/shared.py

@@ -245,7 +245,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "img2img_background_color": OptionInfo("#ffffff", "With img2img fill image's transparent parts with this color", ui_components.FormColorPicker, {}),
     "enable_quantization": OptionInfo(True, "Enable quantization in K samplers for sharper and cleaner results"),
     "comma_padding_backtrack": OptionInfo(20, "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1 }),
-    "CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1, "visible": False}),
+    "CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 8, "step": 1, "visible": False}),
     "upcast_attn": OptionInfo(False, "Upcast cross attention layer to float32"),
     "cross_attention_optimization": OptionInfo("Sub-quadratic" if is_device_dml else "Scaled-Dot-Product", "Cross-attention optimization method", gr.Radio, lambda: {"choices": shared_items.list_crossattention() }),
     "cross_attention_options": OptionInfo([], "Cross-attention advanced options", gr.CheckboxGroup, lambda: {"choices": ['xFormers enable flash Attention', 'SDP disable memory attention']}),

modules/ui.py

@@ -623,7 +623,7 @@ def create_ui():
                                 cfg_scale = gr.Slider(minimum=1.0, maximum=30.0, step=0.5, label='CFG Scale', value=6.0, elem_id="img2img_cfg_scale")
                                 image_cfg_scale = gr.Slider(minimum=0, maximum=3.0, step=0.05, label='Image CFG Scale', value=1.5, elem_id="img2img_image_cfg_scale", visible=shared.sd_model and shared.sd_model.cond_stage_key == "edit")
                                 denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.75, elem_id="img2img_denoising_strength")
-                                clip_skip = gr.Slider(label='CLIP Skip', value=1, minimum=1, maximum=4, step=1, elem_id='img2img_clip_skip', interactive=True)
+                                clip_skip = gr.Slider(label='CLIP Skip', value=shared.opts.CLIP_stop_at_last_layers, minimum=1, maximum=4, step=1, elem_id='img2img_clip_skip', interactive=True)
                                 clip_skip.change(fn=change_clip_skip, show_progress=False, inputs=clip_skip)
 
                     elif category == "seed":