lint fixes

CHANGELOG.md

@@ -1,6 +1,6 @@
 # Change Log for SD.Next
 
-## Update for 2023-12-07
+## Update for 2023-12-08
 
 *Note*: based on `diffusers==0.25.0.dev0`
 
@@ -16,17 +16,16 @@
   - **Schedulers**
     - add timesteps range, changing it will make scheduler to be over-complete or under-complete  
     - add rescale betas with zero SNR option (applicable to Euler and DDIM, allows for higher dynamic range)  
-- **Process**
-  - create videos from batch or folder processing  
-    supports GIF, PNG and MP4 with full interpolation, scene change detection, etc.  
-  - **LoRA**
+- **General**  
+  - **Process** create videos from batch or folder processing  
+      supports GIF, PNG and MP4 with full interpolation, scene change detection, etc.  
+  - **LoRA**  
     - add support for block weights, thanks @AI-Casanova  
       example `<lora:SDXL_LCM_LoRA:1.0:in=0:mid=1:out=0>`  
-    - reintroduce alternative loading method in settings: `lora_force_diffusers`
+    - reintroduce alternative loading method in settings: `lora_force_diffusers`  
     - add support for `lora_fuse_diffusers` if using alternative method  
       use if you have multiple complex loras that may be causing performance degradation  
       as it fuses lora with model during load instead of interpreting lora on-the-fly  
-- **General**
   - **CivitAI downloader** allow usage of access tokens for gated or private models  
   - **Extra networks** new *settting -> extra networks -> build info on first access*  
     indexes all networks on first access instead of server startup  

modules/images.py

@@ -579,7 +579,6 @@ save_thread.start()
 
 
 def save_image(image, path, basename='', seed=None, prompt=None, extension=shared.opts.samples_format, info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None, suffix='', save_to_dirs=None): # pylint: disable=unused-argument
-    import sys
     if image is None:
         shared.log.warning('Image is none')
         return None, None
@@ -683,7 +682,7 @@ def save_video(p, images, filename = None, video_type: str = 'none', duration: f
         filename = os.path.join(shared.opts.outdir_video, filename)
         filename = namegen.sequence(filename, shared.opts.outdir_video, '')
     else:
-        if not os.pathsep in filename:
+        if os.pathsep not in filename:
             filename = os.path.join(shared.opts.outdir_video, filename)
     if not filename.lower().endswith(video_type.lower()):
         filename += f'.{video_type.lower()}'

modules/shared.py

@@ -280,7 +280,7 @@ options_templates.update(options_section(('cuda', "Compute Settings"), {
     "cuda_dtype": OptionInfo("FP32" if sys.platform == "darwin" or cmd_opts.use_openvino else "BF16" if devices.backend == "ipex" else "FP16", "Device precision type", gr.Radio, {"choices": ["FP32", "FP16", "BF16"]}),
     "no_half": OptionInfo(False if not cmd_opts.use_openvino else True, "Use full precision for model (--no-half)", None, None, None),
     "no_half_vae": OptionInfo(False if not cmd_opts.use_openvino else True, "Use full precision for VAE (--no-half-vae)"),
-    "upcast_sampling": OptionInfo(False if not sys.platform == "darwin" else True, "Enable upcast sampling"),
+    "upcast_sampling": OptionInfo(False if sys.platform != "darwin" else True, "Enable upcast sampling"),
     "upcast_attn": OptionInfo(False, "Enable upcast cross attention layer"),
     "cuda_cast_unet": OptionInfo(False, "Use fixed UNet precision"),
     "disable_nan_check": OptionInfo(True, "Disable NaN check in produced images/latent spaces", gr.Checkbox, {"visible": False}),