fix pulid

Signed-off-by: Vladimir Mandic <[email protected]>

modules/control/run.py

@@ -410,7 +410,9 @@ def control_run(state: str = '',
     blended_image = None
 
     # set pipeline
-    if pipe.__class__.__name__ != shared.sd_model.__class__.__name__:
+    if pipe is None:
+        return [], '', '', 'Pipeline not set'
+    elif pipe.__class__.__name__ != shared.sd_model.__class__.__name__:
         original_pipeline = shared.sd_model
         shared.sd_model = pipe
         sd_models.move_model(shared.sd_model, shared.device)

modules/processing_args.py

@@ -365,5 +365,7 @@ def set_pipeline_args(p, model, prompts:list, negative_prompts:list, prompts_2:t
     if debug_enabled:
         debug_log(f'Diffusers pipeline args: {args}')
 
-    _args = copy.deepcopy(args) # pipeline may modify underlying args
+    _args = {}
+    for k, v in args.items():
+        _args[k] = copy.deepcopy(v) if not torch.is_tensor(v) else v # pipeline may modify underlying args
     return _args

modules/processing_diffusers.py

@@ -175,7 +175,7 @@ def process_hires(p: processing.StableDiffusionProcessing, output):
             if shared.opts.samples_save and not p.do_not_save_samples and shared.opts.save_images_before_highres_fix and hasattr(shared.sd_model, 'vae'):
                 save_intermediate(p, latents=output.images, suffix="-before-hires")
             shared.state.update('Upscale', 0, 1)
-            output.images = resize_hires(p, latents=output.images)
+            output.images = resize_hires(p, latents=output.images) if output is not None else []
             sd_hijack_hypertile.hypertile_set(p, hr=True)
 
         latent_upscale = shared.latent_upscale_modes.get(p.hr_upscaler, None)

modules/sd_models.py

@@ -1085,6 +1085,8 @@ def get_signature(cls):
 
 
 def get_call(cls):
+    if cls is None:
+        return []
     signature = inspect.signature(cls.__call__, follow_wrapped=True, eval_str=True)
     return signature.parameters