first update in 2025

Signed-off-by: Vladimir Mandic <mandic00@live.com>

CHANGELOG.md

@@ -1,5 +1,20 @@
 # Change Log for SD.Next
 
+## Update for 2025-01-01
+
+- **Logging**:
+  - reverted enable debug by default  
+  - updated [debug wiki](https://github.com/vladmandic/automatic/wiki/debug)  
+  - sort logged timers by duration  
+  - allow min duration env variable for timers: `SD_MIN_TIMER=0.1` (default)  
+  - update installer messages  
+- **Detailer**:
+  - add explicit detailer steps setting  
+- **Fixes**:
+  - explict clear caches on model load  
+  - lock adetailer commit: `#a89c01d`  
+  - xyzgrid fix progress calculation  
+
 ## Update for 2024-12-31
 
 NYE refresh release with quite a few optimizatios and bug fixes...  

installer.py

@@ -54,7 +54,7 @@ git_commit = "unknown"
 diffusers_commit = "unknown"
 extensions_commit = {
     'sd-webui-controlnet': 'ecd33eb',
-    # 'adetailer': 'a89c01d'
+    'adetailer': 'a89c01d'
     # 'stable-diffusion-webui-images-browser': '27fe4a7',
 }
 
@@ -230,16 +230,16 @@ def installed(package, friendly: str = None, reload = False, quiet = False):
                     exact = pkg_version == p[1]
                     if not exact and not quiet:
                         if args.experimental:
-                            log.warning(f"Package: {p[0]} installed={pkg_version} required={p[1]} allowing experimental")
+                            log.warning(f'Install: package="{p[0]}" installed={pkg_version} required={p[1]} allowing experimental')
                         else:
-                            log.warning(f"Package: {p[0]} installed={pkg_version} required={p[1]} version mismatch")
+                            log.warning(f'Install: package="{p[0]}" installed={pkg_version} required={p[1]} version mismatch')
                     ok = ok and (exact or args.experimental)
             else:
                 if not quiet:
-                    log.debug(f"Package: {p[0]} not found")
+                    log.debug(f'Install: package="{p[0]}" install required')
         return ok
     except Exception as e:
-        log.error(f"Package: {pkgs} {e}")
+        log.error(f'Install: package="{pkgs}" {e}')
         return False
 
 
@@ -1342,9 +1342,10 @@ def add_args(parser):
 
     group_log = parser.add_argument_group('Logging')
     group_log.add_argument("--log", type=str, default=os.environ.get("SD_LOG", None), help="Set log file, default: %(default)s")
-    # group_log.add_argument('--debug', default=os.environ.get("SD_DEBUG",False), action='store_true', help="Run installer with debug logging, default: %(default)s")
+    group_log.add_argument('--debug', default=os.environ.get("SD_DEBUG",False), action='store_true', help="Run installer with debug logging, default: %(default)s")
     group_log.add_argument("--profile", default=os.environ.get("SD_PROFILE", False), action='store_true', help="Run profiler, default: %(default)s")
     group_log.add_argument('--docs', default=os.environ.get("SD_DOCS", False), action='store_true', help="Mount API docs, default: %(default)s")
+    group_log.add_argument("--api-log", default=os.environ.get("SD_APILOG", True), action='store_true', help="Log all API requests")
 
 
 def parse_args(parser):

modules/cmd_args.py

@@ -74,9 +74,7 @@ def compatibility_args():
     group_compat.add_argument("--disable-extension-access", default=False, action='store_true', help=argparse.SUPPRESS)
     group_compat.add_argument("--api", action='store_true', help=argparse.SUPPRESS, default=True)
     group_compat.add_argument("--api-auth", type=str, help=argparse.SUPPRESS, default=None)
-    group_compat.add_argument("--api-log", default=os.environ.get("SD_APILOG", True), action='store_true', help=argparse.SUPPRESS)
     group_compat.add_argument("--disable-queue", default=os.environ.get("SD_DISABLEQUEUE", False), action='store_true', help=argparse.SUPPRESS)
-    group_compat.add_argument('--debug', default=os.environ.get("SD_DEBUG", True), action='store_true', help=argparse.SUPPRESS)
 
 
 

modules/postprocess/yolo.py

@@ -231,7 +231,7 @@ class YoloRestorer(Detailer):
                 'negative_prompt': negative,
                 'denoising_strength': shared.opts.detailer_strength,
                 'sampler_name': orig_p.get('hr_sampler_name', 'default'),
-                'steps': orig_p.get('refiner_steps', 0),
+                'steps': shared.opts.detailer_steps,
                 'styles': [],
                 'inpaint_full_res': True,
                 'inpainting_mask_invert': 0,
@@ -308,7 +308,7 @@ class YoloRestorer(Detailer):
         return np_image
 
     def ui(self, tab: str):
-        def ui_settings_change(detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou):
+        def ui_settings_change(detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps):
             shared.opts.detailer_models = detailers
             shared.opts.detailer_classes = classes
             shared.opts.detailer_strength = strength
@@ -319,8 +319,9 @@ class YoloRestorer(Detailer):
             shared.opts.detailer_min_size = min_size
             shared.opts.detailer_max_size = max_size
             shared.opts.detailer_iou = iou
+            shared.opts.detailer_steps = steps
             shared.opts.save(shared.config_filename, silent=True)
-            shared.log.debug(f'Detailer settings: models={shared.opts.detailer_models} classes={shared.opts.detailer_classes} strength={shared.opts.detailer_strength} conf={shared.opts.detailer_conf} max={shared.opts.detailer_max} iou={shared.opts.detailer_iou} size={shared.opts.detailer_min_size}-{shared.opts.detailer_max_size} padding={shared.opts.detailer_padding}')
+            shared.log.debug(f'Detailer settings: models={shared.opts.detailer_models} classes={shared.opts.detailer_classes} strength={shared.opts.detailer_strength} conf={shared.opts.detailer_conf} max={shared.opts.detailer_max} iou={shared.opts.detailer_iou} size={shared.opts.detailer_min_size}-{shared.opts.detailer_max_size} padding={shared.opts.detailer_padding} steps={shared.opts.detailer_steps}')
 
         with gr.Accordion(open=False, label="Detailer", elem_id=f"{tab}_detailer_accordion", elem_classes=["small-accordion"], visible=shared.native):
             with gr.Row():
@@ -331,7 +332,9 @@ class YoloRestorer(Detailer):
             with gr.Row():
                 classes = gr.Textbox(label="Classes", placeholder="Classes", elem_id=f"{tab}_detailer_classes")
             with gr.Row():
+                steps = gr.Slider(label="Detailer steps", elem_id=f"{tab}_detailer_steps", value=shared.opts.detailer_steps, min=0, max=99, step=1)
                 strength = gr.Slider(label="Detailer strength", elem_id=f"{tab}_detailer_strength", value=shared.opts.detailer_strength, minimum=0, maximum=1, step=0.01)
+            with gr.Row():
                 max_detected = gr.Slider(label="Max detected", elem_id=f"{tab}_detailer_max", value=shared.opts.detailer_max, min=1, maximum=10, step=1)
             with gr.Row():
                 padding = gr.Slider(label="Edge padding", elem_id=f"{tab}_detailer_padding", value=shared.opts.detailer_padding, minimum=0, maximum=100, step=1)
@@ -344,16 +347,17 @@ class YoloRestorer(Detailer):
                 min_size = gr.Slider(label="Min size", elem_id=f"{tab}_detailer_min_size", value=min_size, minimum=0.0, maximum=1.0, step=0.05)
                 max_size = shared.opts.detailer_max_size if shared.opts.detailer_max_size < 1 and shared.opts.detailer_max_size > 0 else 1.0
                 max_size = gr.Slider(label="Max size", elem_id=f"{tab}_detailer_max_size", value=max_size, minimum=0.0, maximum=1.0, step=0.05)
-            detailers.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
-            classes.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
-            strength.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
-            padding.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
-            blur.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
-            min_confidence.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
-            max_detected.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
-            min_size.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
-            max_size.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
-            iou.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou], outputs=[])
+            detailers.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            classes.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            strength.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            padding.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            blur.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            min_confidence.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            max_detected.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            min_size.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            max_size.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            iou.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
+            steps.change(fn=ui_settings_change, inputs=[detailers, classes, strength, padding, blur, min_confidence, max_detected, min_size, max_size, iou, steps], outputs=[])
             return enabled
 
 

modules/progress.py

@@ -71,6 +71,8 @@ def progressapi(req: ProgressRequest):
     step_y = max(shared.state.sampling_steps, 1)
     current = step_y * batch_x + step_x
     total = step_y * batch_y
+    while total < current:
+        total += step_y
     progress = min(1, abs(current / total) if total > 0 else 0)
     elapsed = time.time() - shared.state.time_start if shared.state.time_start is not None else 0
     predicted = elapsed / progress if progress > 0 else None

modules/sd_models.py

@@ -270,6 +270,7 @@ def set_diffuser_options(sd_model, vae = None, op: str = 'model', offload=True):
     if not (hasattr(sd_model, "has_accelerate") and sd_model.has_accelerate):
         sd_model.has_accelerate = False
 
+    clear_caches()
     set_vae_options(sd_model, vae, op)
     set_diffusers_attention(sd_model)
 
@@ -1605,6 +1606,17 @@ def disable_offload(sd_model):
     sd_model.has_accelerate = False
 
 
+def clear_caches():
+    shared.log.debug('Cache clear')
+    if not shared.opts.lora_legacy:
+        from modules.lora import networks
+        networks.loaded_networks.clear()
+        networks.previously_loaded_networks.clear()
+        networks.lora_cache.clear()
+    from modules import prompt_parser_diffusers
+    prompt_parser_diffusers.cache.clear()
+
+
 def unload_model_weights(op='model'):
     if shared.compiled_model_state is not None:
         shared.compiled_model_state.compiled_cache.clear()
@@ -1622,11 +1634,6 @@ def unload_model_weights(op='model'):
             model_data.sd_model = None
             devices.torch_gc(force=True)
             shared.log.debug(f'Unload weights {op}: {memory_stats()}')
-            if not shared.opts.lora_legacy:
-                from modules.lora import networks
-                networks.loaded_networks.clear()
-                networks.previously_loaded_networks.clear()
-                networks.lora_cache.clear()
     elif op == 'refiner':
         if model_data.sd_refiner:
             if not shared.native:

modules/shared.py

@@ -861,6 +861,7 @@ options_templates.update(options_section(('postprocessing', "Postprocessing"), {
     "detailer_max_size": OptionInfo(1.0, "Max object size", gr.Slider, {"minimum": 0.1, "maximum": 1, "step": 0.05, "visible": False}),
     "detailer_padding": OptionInfo(20, "Item padding", gr.Slider, {"minimum": 0, "maximum": 100, "step": 1, "visible": False}),
     "detailer_blur": OptionInfo(10, "Item edge blur", gr.Slider, {"minimum": 0, "maximum": 100, "step": 1, "visible": False}),
+    "detailer_steps": OptionInfo(10, "Detailer steps", gr.Slider, {"minimum": 0, "maximum": 99, "step": 1, "visible": False}),
     "detailer_strength": OptionInfo(0.5, "Detailer strength", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01, "visible": False}),
     "detailer_models": OptionInfo(['face-yolo8n'], "Detailer models", gr.Dropdown, lambda: {"multiselect":True, "choices": list(yolo.list), "visible": False}),
     "detailer_unload": OptionInfo(False, "Move detailer model to CPU when complete"),

modules/timer.py

@@ -1,7 +1,14 @@
+import os
 import time
 import sys
 
 
+try:
+    default_min_time = float(os.environ.get('SD_MIN_TIMER', '0.05'))
+except Exception:
+    default_min_time = 0.1
+
+
 class Timer:
     def __init__(self):
         self.start = time.time()
@@ -31,20 +38,23 @@ class Timer:
         self.records[category] += e + extra_time
         self.total += e + extra_time
 
-    def summary(self, min_time=0.05, total=True):
+    def summary(self, min_time=default_min_time, total=True):
         if self.profile:
             min_time = -1
-        res = f"{self.total:.2f} " if total else ''
+        res = f"total={self.total:.2f} " if total else ''
         additions = [x for x in self.records.items() if x[1] >= min_time]
+        additions = sorted(additions, key=lambda x: x[1], reverse=True)
         if not additions:
             return res
         res += " ".join([f"{category}={time_taken:.2f}" for category, time_taken in additions])
         return res
 
-    def dct(self, min_time=0.05):
+    def dct(self, min_time=default_min_time):
         if self.profile:
-            return {k: round(v, 4) for k, v in self.records.items()}
-        return {k: round(v, 2) for k, v in self.records.items() if v >= min_time}
+            res = {k: round(v, 4) for k, v in self.records.items()}
+        res = {k: round(v, 2) for k, v in self.records.items() if v >= min_time}
+        res = {k: v for k, v in sorted(res.items(), key=lambda x: x[1], reverse=True)} # noqa: C416
+        return res
 
     def reset(self):
         self.__init__()

modules/ui_control.py

@@ -29,7 +29,7 @@ def return_stats(t: float = None):
         elapsed_m = int(elapsed // 60)
         elapsed_s = elapsed % 60
         elapsed_text = f"Time: {elapsed_m}m {elapsed_s:.2f}s |" if elapsed_m > 0 else f"Time: {elapsed_s:.2f}s |"
-    summary = timer.process.summary(min_time=0.25, total=False).replace('=', ' ')
+    summary = timer.process.summary(total=False).replace('=', ' ')
     gpu = ''
     cpu = ''
     if not shared.mem_mon.disabled:

webui.py

@@ -244,7 +244,7 @@ def start_common():
 
 
 def start_ui():
-    log.info('UI start')
+    log.debug('UI start sequence')
     modules.script_callbacks.before_ui_callback()
     timer.startup.record("before-ui")
     shared.demo = modules.ui.create_ui(timer.startup)