fix(video): honor ignore patterns when fetching a pipeline repo

DiffusionPipeline.download derives ignore_patterns from the passed components and
never reads the caller's, so the kwarg set in load_override was inert and diffusers
logged it as an unexpected keyword. The unsharded connectors duplicate it was meant
to skip was fetched on every LTX-2.3 mirror load.

Resolve the repo to a snapshot built from those patterns and hand from_pretrained
the folder instead of the id. That skips its download path, so the passed component
folders it would have pruned are pruned here instead. The connectors override drops
its own copy of the kwarg, which ModelMixin never read either.

modules/video_models/video_load.py

@@ -2,6 +2,7 @@ import os
 import sys
 import copy
 import time
+import torch
 import transformers
 import diffusers
 from modules import shared, errors, sd_models, sd_checkpoint, model_quant, devices, sd_hijack_te, sd_hijack_vae, modular_load
@@ -21,6 +22,27 @@ def _loader(component):
 loaded_model = None
 
 
+def snapshot_without(repo: str, ignore_patterns, revision: str | None = None, passed=None, **offline_args) -> str:
+    """Materialize a repo snapshot minus ignore_patterns and return the local folder.
+
+    DiffusionPipeline.download builds its own ignore list from the passed components and never
+    reads the caller's, so repo files that no component claims are fetched regardless. Doing the
+    snapshot here and handing from_pretrained a folder skips its download path entirely, which
+    also means the component folders it would have pruned have to be pruned here instead.
+    """
+    if not ignore_patterns:
+        return repo
+    from huggingface_hub import snapshot_download
+    patterns = list(ignore_patterns) + [f'{name}/*' for name in (passed or [])]
+    try:
+        folder = snapshot_download(repo, revision=revision, cache_dir=shared.opts.hfcache_dir, ignore_patterns=patterns, **offline_args)
+    except Exception as e:
+        log.warning(f'Load video: module=snapshot repo="{repo}" ignore={patterns} {e}')
+        return repo
+    log.debug(f'Load video: module=snapshot repo="{repo}" ignore={patterns}')
+    return folder
+
+
 def load_custom(model_name: str):
     log.debug(f'Load video: module=pipe repo="{model_name}" cls=Custom')
     if 'veo-3.1' in model_name:
@@ -159,8 +181,10 @@ def load_model(selected: models_def.Model):
         else:
             log.debug(f'Load video: module=pipe repo="{selected.repo}" cls={selected.repo_cls.__name__}')
             sd_models.hf_prefetch_configs(selected.repo, {}, 'video')
+            passed = [k for k, v in kwargs.items() if isinstance(v, torch.nn.Module)]
+            repo_path = snapshot_without(selected.repo, kwargs.pop('ignore_patterns', None), selected.repo_revision, passed=passed, **offline_args)
             shared.sd_model = selected.repo_cls.from_pretrained(
-                pretrained_model_name_or_path=selected.repo,
+                pretrained_model_name_or_path=repo_path,
                 revision=selected.repo_revision,
                 cache_dir=shared.opts.hfcache_dir,
                 torch_dtype=devices.dtype,

modules/video_models/video_overrides.py

@@ -45,7 +45,6 @@ def load_override(selected: Model, **load_args):
             subfolder='connectors',
             torch_dtype=devices.dtype,
             cache_dir=shared.opts.hfcache_dir,
-            ignore_patterns=['connectors/diffusion_pytorch_model.safetensors'],
             **load_args,
         )
     # WAN