import sdnq on video prequant model load

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

CHANGELOG.md

@@ -5,7 +5,11 @@
 - add inline wildcards using curly braces syntax  
 - fix inpaint  
 - fix model type detection  
+- fix version detection when cloned with `.git` suffix  
 - guard against multi-controlnet in hires  
+- fix full-screen image viewer buttons with non-standard ui theme  
+- init `sdnq` on video model load  
+- control tab show override section  
 
 ## Update for 2025-10-31
 

modules/ui_common.py

@@ -351,7 +351,8 @@ def create_refresh_button(refresh_component, refresh_method, refreshed_args = No
 
 def create_override_inputs(tab): # pylint: disable=unused-argument
     with gr.Row(elem_id=f"{tab}_override_settings_row"):
-        override_settings = gr.Dropdown([], value=None, label="Override settings", visible=False, elem_id=f"{tab}_override_settings", multiselect=True)
+        visible = tab == 'control'
+        override_settings = gr.Dropdown([], value=None, label="Override settings", visible=visible, elem_id=f"{tab}_override_settings", multiselect=True)
         override_settings.change(fn=lambda x: gr.Dropdown.update(visible=len(x) > 0), inputs=[override_settings], outputs=[override_settings])
     return override_settings
 

modules/video_models/video_load.py

@@ -58,6 +58,9 @@ def load_model(selected: models_def.Model):
             selected.te_folder = 'text_encoder'
             selected.te_revision = None
 
+        if 'sdnq-' in (selected.te or selected.repo).lower():
+            from modules import sdnq # pylint: disable=unused-import # register to diffusers and transformers
+
         shared.log.debug(f'Video load: module=te repo="{selected.te or selected.repo}" folder="{selected.te_folder}" cls={selected.te_cls.__name__} quant={model_quant.get_quant_type(quant_args)}')
         kwargs["text_encoder"] = selected.te_cls.from_pretrained(
             pretrained_model_name_or_path=selected.te or selected.repo,
@@ -91,6 +94,9 @@ def load_model(selected: models_def.Model):
             else:
                 shared.log.debug(f'Video load: module=transformer repo="{selected.dit or selected.repo}" module="{dit_folder}" folder="{dit_folder}" cls={selected.dit_cls.__name__} skip')
 
+        if 'sdnq-' in (selected.dit or selected.repo).lower():
+            from modules import sdnq # pylint: disable=unused-import # register to diffusers and transformers
+
         if selected.dit_folder is None:
             selected.dit_folder = ['transformer']
         if isinstance(selected.dit_folder, list) or isinstance(selected.dit_folder, tuple):

pipelines/chrono/pipeline_chronoedit.py

@@ -24,7 +24,7 @@ from transformers import AutoTokenizer, CLIPImageProcessor, CLIPVisionModel, UMT
 from diffusers.callbacks import MultiPipelineCallbacks, PipelineCallback
 from diffusers.image_processor import PipelineImageInput
 from diffusers.loaders import WanLoraLoaderMixin
-from diffusers.models import AutoencoderKLWan, WanTransformer3DModel
+from diffusers.models import AutoencoderKLWan, WanTransformer3DModel # pylint: disable=unused-import # register to diffusers
 from diffusers.schedulers import FlowMatchEulerDiscreteScheduler
 from diffusers.utils import is_ftfy_available, is_torch_xla_available, logging, replace_example_docstring
 from diffusers.utils.torch_utils import randn_tensor
@@ -731,7 +731,7 @@ class ChronoEditPipeline(DiffusionPipeline, WanLoraLoaderMixin):
 
         self._current_timestep = None
 
-        if not output_type == "latent":
+        if output_type != "latent":
             latents = latents.to(self.vae.dtype)
             latents_mean = (
                 torch.tensor(self.vae.config.latents_mean)

pipelines/chrono/transformer_chronoedit.py

@@ -188,7 +188,7 @@ class ChronoEditRotaryPosEmbed(nn.Module):
         self.freqs = torch.cat(freqs, dim=1)
 
     def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
-        batch_size, _num_channels, num_frames, height, width = hidden_states.shape
+        _batch_size, _num_channels, num_frames, height, width = hidden_states.shape
         p_t, p_h, p_w = self.patch_size
         ppf, pph, ppw = num_frames // p_t, height // p_h, width // p_w
 
@@ -419,7 +419,7 @@ class ChronoEditTransformer3DModel(ModelMixin, ConfigMixin, PeftAdapterMixin, Fr
                 )
 
         batch_size, _num_channels, num_frames, height, width = hidden_states.shape
-        p_t, p_h, p_w = self.config.patch_size
+        p_t, p_h, p_w = self.config.patch_size # pylint: disable=no-member
         post_patch_num_frames = num_frames // p_t
         post_patch_height = height // p_h
         post_patch_width = width // p_w