log cleanup

CHANGELOG.md

@@ -5,33 +5,31 @@
 Service release addressing all zero-day issues reported so far...
 
 **Fixes**
-- fix freeu for backend original and add it to xyz grid
+- fix **freeu** for backend original and add it to xyz grid
 - fix loading diffuser models in huggingface format from non-standard location
 - fix default styles looking in wrong location
 - fix missing upscaler folder on initial startup
 - fix handling of relative path for models
 - fix simple live preview device mismatch
 - fix batch img2img
-- fix diffusers dpm++ 2m, dpm++ 1s, deis samplers
+- fix diffusers samplers: dpm++ 2m, dpm++ 1s, deis
 - fix new style filename template
 - fix image name template using model name
 - fix model path using relative path
 - fix `torch-rocm` and `tensorflow-rocm` version detection, thanks @xangelix
-- fix chainner upscalers color clipping
+- fix **chainner** upscalers color clipping
 - fix for base+refiner workflow in diffusers mode: number of steps, diffuser pipe mode  
 - fix for prompt encoder with refiner in diffusers mode
 - fix prompts-from-file saving incorrect metadata
 - fix before-hires step
 - fix diffusers switch from invalid model
-- directml and ipex updates
+- **directml** and **ipex** updates
 - force second requirements check on startup
 - remove lyco, multiple_tqdm
 - enhance extension compatibility for exensions directly importing codeformers  
 - enhance extension compatibility for exensions directly accessing processing params  
 - css fixes
 - clearly mark external themes in ui
-- new option: *settings -> images -> keep incomplete*
-  can be used to skip vae decode on aborted/skipped/interrupted image generations
 - update `openvino`, thanks @disty0
 - update `typing-extensions`
 
@@ -39,7 +37,12 @@ Service release addressing all zero-day issues reported so far...
 
 - remove external clone of items in `/repositories`
 - add **lora oft** support, thanks @antis0007 and @ai-casanova
-- **upscalers compile** option, thanks @disty0
+- **upscalers**
+  - **compile compile** option, thanks @disty0
+  - **chainner** add high quality models from [Helaman](https://openmodeldb.info/users/helaman)
+  - **chainner** switch to `torchvision.transforms` for all image decode operations  
+- new option: *settings -> images -> keep incomplete*
+  can be used to skip vae decode on aborted/skipped/interrupted image generations
 
 
 **Themes**

javascript/settings.js

@@ -77,7 +77,7 @@ function markIfModified(setting_name, value) {
   tab_nav_indicator.classList.toggle('saved', saved.size > 0);
   if (changed_items.size > 0) tab_nav_indicator.title += `click to reset ${changed_items.size} unapplied changes in this tab\n`;
   if (saved.size > 0) tab_nav_indicator.title += `${saved.size} custom values\n${unsaved.size} default values}`;
-  elem.scrollIntoView({ behavior: 'smooth', block: 'center' });
+  elem.scrollIntoView({ behavior: 'smooth', block: 'center' }); // TODO why is scroll happening on every change if all pages are visible?
 }
 
 onAfterUiUpdate(async () => {
@@ -120,18 +120,6 @@ onAfterUiUpdate(async () => {
   };
 });
 
-onOptionsChanged(() => {
-  const elem = gradioApp().getElementById('sd_checkpoint_hash');
-  const sd_checkpoint_hash = opts.sd_checkpoint_hash || '';
-  const shorthash = sd_checkpoint_hash.substring(0, 10);
-
-  if (elem && elem.textContent !== shorthash) {
-    elem.textContent = shorthash;
-    elem.title = sd_checkpoint_hash;
-    elem.href = `https://google.com/search?q=${sd_checkpoint_hash}`;
-  }
-});
-
 onOptionsChanged(() => {
   const setting_elems = gradioApp().querySelectorAll('#settings [id^="setting_"]');
   setting_elems.forEach((elem) => {

modules/sd_models.py

@@ -178,7 +178,7 @@ def list_models():
                 shared.opts.data['sd_model_checkpoint'] = checkpoint_info.title
     elif shared.cmd_opts.ckpt != shared.default_sd_model_file and shared.cmd_opts.ckpt is not None:
         shared.log.warning(f"Checkpoint not found: {shared.cmd_opts.ckpt}")
-    shared.log.info(f'Available models: {shared.opts.ckpt_dir} items={len(checkpoints_list)} time={time.time()-t0:.2f}s')
+    shared.log.info(f'Available models: path="{shared.opts.ckpt_dir}" items={len(checkpoints_list)} time={time.time()-t0:.2f}s')
 
     checkpoints_list = dict(sorted(checkpoints_list.items(), key=lambda cp: cp[1].filename))
     if len(checkpoints_list) == 0:

modules/sd_vae.py

@@ -98,7 +98,7 @@ def refresh_vae_list():
                 vae_dict[name] = os.path.dirname(filepath)
             else:
                 vae_dict[name] = filepath
-    shared.log.info(f"Available VAEs: {vae_path} items={len(vae_dict)}")
+    shared.log.info(f'Available VAEs: path="{vae_path}" items={len(vae_dict)}')
     return vae_dict