handle invalid extension

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

CHANGELOG.md

@@ -47,9 +47,11 @@ And **SDNQ** improvements: now with *NPU* support and its own native *attention*
   - api: stricter api request and response schemas
   - caption: button in standard-ui
   - embeddings: handle textual-inversion with new transformers
+  - extensions: handle extension without remote
   - insightface: missing dependencies
   - live preview: configurable pause when not in focus, thanks @Artheriax
   - log: strip ansi sequences from ring buffer and client side logging
+  - lora: cache state_dict between load attempts
   - measure: handle current kanvas stage
   - model metadata: handle invalid metadata and strip workflows
   - mps: install `torchsde` as requirement

modules/extensions.py

@@ -148,6 +148,9 @@ class Extension:
         self.mtime = "2000-01-01T00:00Z"
         self.ctime = "2000-01-01T00:00Z"
 
+    def __str__(self):
+        return f'Extension(name="{self.name}", path="{self.path}", enabled={self.enabled}, is_builtin={self.is_builtin}, status="{self.status}", can_update={self.can_update}, commit_hash="{self.commit_hash}", commit_date={self.commit_date}, version="{self.version}", description="{self.description}", branch="{self.branch}", remote="{self.remote}", mtime="{self.mtime}", ctime="{self.ctime}")'
+
     def read_info(self, force=False):
         if self.have_info_from_repo and not force:
             return

modules/ui_extensions.py

@@ -160,7 +160,7 @@ def install_extension_from_url(dirname, url, branch_name, search_text, sort_colu
     if os.path.exists(target_dir):
         log.error(f'Extension: path="{target_dir}" directory already exists')
         return ['', '']
-    if any(normalize_git_url(x.remote) == url for x in extensions.extensions):
+    if any(normalize_git_url(x.remote) == url for x in extensions.extensions if x.remote is not None):
         return ['', "Extension with this URL is already installed"]
     tmpdir = os.path.join(paths.data_path, "tmp", dirname)
     try:

pipelines/model_flux2_klein.py

@@ -32,9 +32,6 @@ def load_flux2_klein(checkpoint_info, diffusers_load_config=None):
         cache_dir=shared.opts.diffusers_dir,
         **load_args,
     )
-    pipe.task_args = {
-        'output_type': 'np',
-    }
     diffusers.pipelines.auto_pipeline.AUTO_TEXT2IMAGE_PIPELINES_MAPPING["flux2klein"] = cls
     diffusers.pipelines.auto_pipeline.AUTO_IMAGE2IMAGE_PIPELINES_MAPPING["flux2klein"] = cls
     diffusers.pipelines.auto_pipeline.AUTO_INPAINT_PIPELINES_MAPPING["flux2klein"] = cls