linting fixes

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

CHANGELOG.md

@@ -1,8 +1,8 @@
 # Change Log for SD.Next
 
-## Update for 2025-03-31
+## Update for 2025-04-01
 
-### Highlights for 2025-03-31
+### Highlights for 2025-04-01
 
 Brand new Video processing module with support for all latest models: **WAN21, Hunyuan, LTX, Cog, Allegro, Mochi1, Latte1** in both T2V and I2V workflows  
 And combined with *on-the-fly quantization*, support for *Local/Tiny/Remote* VAE, acceleration modules such as *FasterCache or PAB* and more!  
@@ -15,7 +15,7 @@ Plus...
 - More quantization options and granular control  
 - Pretty big performance updates to a) Any model using DiT based architecture: new caching methods, b) ZLUDA: new attention methods  
 
-### Details for 2025-03-31
+### Details for 2025-04-01
 
 - **Video tab**  
   - see [Video Wiki](https://github.com/vladmandic/sdnext/wiki/Video) for details!  
@@ -107,6 +107,13 @@ Plus...
   - add image policy checks using `LlavaGuard` VLM to detect policy violations (and reasons)  
     against top-10 standard harmful content categories  
   - add banned words/expressions check against prompt variations  
+- **LoRA**
+  - enable memory cache by default  
+  - significantly reduce memory usage  
+  - improve performance  
+  - improve detection of lora changes  
+  - unload lora only when changes are detected  
+  - refactor code for modularity  
 - **IPEX**  
   - add `--upgrade` to torch_command when using `--use-nightly`  
   - add xpu to profiler  
@@ -131,7 +138,6 @@ Plus...
   - update `diffusers` and other requirements  
   - rename vae, unet and text-encoder settings *None* to *Default* to avoid confusion  
   - **CLI**: add `cli/api-grid.py` which can generate grids using params-from-file for x/y axis  
-  - **LoRA** enable memory cache by default  
   - **Samplers** add ability to set sigma adjustment for each sampler  
   - **ModernUI** updates  
   - **CSS** updates  

scripts/xyz_grid_shared.py

@@ -211,7 +211,7 @@ def apply_vae(p, x, xs):
 
 def list_lora():
     import sys
-    lora = [v for k, v in sys.modules.items() if k == 'networks' or k == 'modules.lora.networks'][0]
+    lora = [v for k, v in sys.modules.items() if k == 'networks' or k == 'modules.lora.lora_load'][0]
     loras = [v.fullname for v in lora.available_networks.values()]
     return ['None'] + sorted(loras)
 

webui.py

@@ -37,6 +37,7 @@ import modules.hypernetworks.hypernetwork
 import modules.script_callbacks
 import modules.api.middleware
 
+
 if not modules.loader.initialized:
     timer.startup.record("libraries")
     import modules.sd_hijack # runs conditional load of ldm if not shared.native