linting

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

cli/localize.js

@@ -7,9 +7,10 @@ const { GoogleGenerativeAI } = require('@google/generative-ai');
 
 const api_key = process.env.GOOGLE_AI_API_KEY;
 const model = 'gemini-2.5-flash';
-const prompt = `
-// eslint-disable-next-line max-len
-Translate attached JSON from English to {language} using following rules: fields id, label and reload should be preserved from original, field localized should be a translated version of field label and field hint should be translated in-place. if field is less than 3 characters, do not translate it and keep it as is. Every JSON entry should have id, label, localized, reload and hint fields. Output should be pure JSON without any additional text. To better match translation, context of the text is related to Stable Diffusion and topic of Generative AI.`;
+const prompt = `Translate attached JSON from English to {language} using following rules: fields id, label and reload should be preserved from original, field localized should be a translated version of field label and field hint should be translated in-place.
+if field is less than 3 characters, do not translate it and keep it as is.
+Every JSON entry should have id, label, localized, reload and hint fields.
+Output should be pure JSON without any additional text. To better match translation, context of the text is related to Stable Diffusion and topic of Generative AI.`;
 const languages = {
   hr: 'Croatian',
   de: 'German',

modules/sdnq/__init__.py

@@ -440,7 +440,7 @@ class SDNQQuantizer(DiffusersQuantizer):
         """
         return missing_keys
 
-    def update_state_dict_with_metadata(self, state_dict: dict, metadata: dict) -> dict:
+    def update_state_dict_with_metadata(self, state_dict: dict, metadata: dict) -> dict: # pylint: disable=unused-argument
         """
         needed for transformers compatibilty, no-op function
         """

modules/ui_control.py

@@ -211,7 +211,7 @@ def create_ui(_blocks: gr.Blocks=None):
                     gr.HTML('<span id="control-output-button">Output</p>')
                     with gr.Tabs(elem_classes=['control-tabs'], elem_id='control-tab-output') as output_tabs:
                         with gr.Tab('Gallery', id='out-gallery'):
-                            output_gallery, output_gen_info, _output_html_info, _output_html_info_formatted, output_html_log = ui_common.create_output_panel("control", preview=False, prompt=prompt, height=gr_height, result_info=result_txt)
+                            output_gallery, _output_gen_info, _output_html_info, _output_html_info_formatted, output_html_log = ui_common.create_output_panel("control", preview=False, prompt=prompt, height=gr_height, result_info=result_txt)
                         with gr.Tab('Image', id='out-image'):
                             output_image = gr.Image(label="Output", show_label=False, type="pil", interactive=False, tool="editor", height=gr_height, elem_id='control_output_image', elem_classes=['control-image'])
                         with gr.Tab('Video', id='out-video'):

scripts/daam/hook.py

@@ -1,4 +1,4 @@
-from typing import List, Generic, TypeVar, Callable, Union, Any
+from typing import List, Generic, TypeVar
 import functools
 import itertools
 
@@ -23,7 +23,7 @@ class ObjectHooker(Generic[ModuleType]):
     def __init__(self, module: ModuleType):
         self.module: ModuleType = module
         self.hooked = False
-        self.old_state = dict()
+        self.old_state = {}
 
     def __enter__(self):
         self.hook()
@@ -36,7 +36,7 @@ class ObjectHooker(Generic[ModuleType]):
         if self.hooked:
             raise RuntimeError('Already hooked module')
 
-        self.old_state = dict()
+        self.old_state = {}
         self.hooked = True
         self._hook_impl()
 

scripts/daam/trace.py

@@ -1,5 +1,5 @@
 from pathlib import Path
-from typing import List, Type, Any, Dict, Tuple, Union
+from typing import List, Type, Any, Dict, Union
 import math
 
 from diffusers import StableDiffusionPipeline, StableDiffusionXLPipeline

scripts/daam/utils.py

@@ -10,7 +10,6 @@ import matplotlib.pyplot as plt
 import numpy as np
 import spacy
 import torch
-import torch.nn.functional as F
 
 
 __all__ = ['set_seed', 'compute_token_merge_indices', 'plot_mask_heat_map', 'cached_nlp', 'cache_dir', 'auto_device', 'auto_autocast']
@@ -102,7 +101,6 @@ def cached_nlp(prompt: str, type='en_core_web_md'):
         try:
             nlp = spacy.load(type)
         except OSError:
-            import os
             os.system(f'python -m spacy download {type}')
             nlp = spacy.load(type)