update schedulers and lint everything

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

scripts/ctrlx_ext.py

@@ -44,9 +44,9 @@ class Script(scripts_manager.Script):
             return None
 
         import yaml
-        from scripts.ctrlx import CtrlXStableDiffusionXLPipeline
-        from scripts.ctrlx.sdxl import get_control_config, register_control
-        from scripts.ctrlx.utils import get_self_recurrence_schedule
+        from scripts.ctrlx import CtrlXStableDiffusionXLPipeline # pylint: disable=no-name-in-module
+        from scripts.ctrlx.sdxl import get_control_config, register_control # pylint: disable=no-name-in-module
+        from scripts.ctrlx.utils import get_self_recurrence_schedule # pylint: disable=no-name-in-module
 
         orig_prompt_attention = shared.opts.prompt_attention
         shared.opts.data['prompt_attention'] = 'fixed'

scripts/freescale_ext.py

@@ -58,7 +58,7 @@ class Script(scripts_manager.Script):
                 shared.log.warning('FreeScale: missing input image')
                 return None
 
-        from scripts.freescale import StableDiffusionXLFreeScale, StableDiffusionXLFreeScaleImg2Img
+        from scripts.freescale import StableDiffusionXLFreeScale, StableDiffusionXLFreeScaleImg2Img # pylint: disable=no-name-in-module
         self.orig_pipe = shared.sd_model
         self.orig_slice = shared.opts.diffusers_vae_slicing
         self.orig_tile = shared.opts.diffusers_vae_tiling

scripts/infiniteyou_ext.py

@@ -19,7 +19,7 @@ def verify_insightface():
 
 
 def load_infiniteyou(model: str):
-    from scripts.infiniteyou import InfUFluxPipeline
+    from scripts.infiniteyou import InfUFluxPipeline # pylint: disable=no-name-in-module
     shared.sd_model = InfUFluxPipeline(
         pipe=shared.sd_model,
         model_version=model,

scripts/layerdiffuse/layerdiffuse_loader.py

@@ -1,5 +1,5 @@
 from safetensors.torch import load_file
-from scripts.layerdiffuse.layerdiffuse_model import LoraLoader, AttentionSharingProcessor
+from scripts.layerdiffuse.layerdiffuse_model import LoraLoader, AttentionSharingProcessor # pylint: disable=no-name-in-module
 
 
 def merge_delta_weights_into_unet(pipe, delta_weights):

scripts/lbm_ext.py

@@ -65,7 +65,7 @@ class Script(scripts_manager.Script):
             if repo_id is not None:
                 import huggingface_hub as hf
                 repo_file = hf.snapshot_download(repo_id, cache_dir=shared.opts.hfcache_dir)
-                from scripts.lbm import get_model
+                from scripts.lbm import get_model # pylint: disable=no-name-in-module
                 model = get_model(
                     repo_file,
                     save_dir=None,
@@ -85,7 +85,7 @@ class Script(scripts_manager.Script):
         install('lpips')
 
         from torchvision.transforms import ToPILImage, ToTensor
-        from scripts.lbm import get_model, extract_object, resize_and_center_crop
+        from scripts.lbm import get_model, extract_object, resize_and_center_crop # pylint: disable=no-name-in-module
 
         ori_h_bg, ori_w_bg = fg_image.size
         ar_bg = ori_h_bg / ori_w_bg

scripts/pixelsmith_ext.py

@@ -49,7 +49,7 @@ class Script(scripts_manager.Script):
         supported_model_list = ['sdxl']
         if shared.sd_model_type not in supported_model_list:
             shared.log.warning(f'PixelSmith: class={shared.sd_model.__class__.__name__} model={shared.sd_model_type} required={supported_model_list}')
-        from scripts.pixelsmith import PixelSmithXLPipeline, PixelSmithVAE
+        from scripts.pixelsmith import PixelSmithXLPipeline, PixelSmithVAE # pylint: disable=no-name-in-module
         self.orig_pipe = shared.sd_model
         self.orig_vae = shared.sd_model.vae
         if self.vae is None:

scripts/pulid/pulid_sdxl.py

@@ -123,7 +123,7 @@ class StableDiffusionXLPuLIDPipeline:
         if sampler is not None:
             self.sampler = sampler
         else:
-            from scripts.pulid import sampling
+            from scripts.pulid import sampling # pylint: disable=no-name-in-module
             self.sampler = sampling.sample_dpmpp_sde
 
     @property

scripts/xadapter_ext.py

@@ -34,11 +34,11 @@ class Script(scripts_manager.Script):
         return model, sampler, width, height, start, scale, lora
 
     def run(self, p: processing.StableDiffusionProcessing, model, sampler, width, height, start, scale, lora): # pylint: disable=arguments-differ, unused-argument
-        from scripts.xadapter.xadapter_hijacks import PositionNet
+        from scripts.xadapter.xadapter_hijacks import PositionNet # pylint: disable=no-name-in-module
         diffusers.models.embeddings.PositionNet = PositionNet # patch diffusers==0.26 from diffusers==0.20
-        from scripts.xadapter.adapter import Adapter_XL
-        from scripts.xadapter.pipeline_sd_xl_adapter import StableDiffusionXLAdapterPipeline
-        from scripts.xadapter.unet_adapter import UNet2DConditionModel as UNet2DConditionModelAdapter
+        from scripts.xadapter.adapter import Adapter_XL # pylint: disable=no-name-in-module
+        from scripts.xadapter.pipeline_sd_xl_adapter import StableDiffusionXLAdapterPipeline # pylint: disable=no-name-in-module
+        from scripts.xadapter.unet_adapter import UNet2DConditionModel as UNet2DConditionModelAdapter # pylint: disable=no-name-in-module
 
         global adapter # pylint: disable=global-statement
         if model == 'None':