Fix OpenVINO loras

modules/lora/lora_load.py

@@ -277,7 +277,7 @@ def network_load(names, te_multipliers=None, unet_multipliers=None, dyn_dims=Non
                 if recompile_model:
                     shared.compiled_model_state.lora_model.append(f"{name}:{te_multipliers[i] if te_multipliers else shared.opts.extra_networks_default_multiplier}")
                 lora_method = lora_overrides.get_method(shorthash)
-                if shared.opts.lora_force_diffusers or lora_method == 'diffusers': # OpenVINO only works with Diffusers LoRa loading
+                if lora_method == 'diffusers':
                     net = load_diffusers(name, network_on_disk, lora_scale=te_multipliers[i] if te_multipliers else shared.opts.extra_networks_default_multiplier)
                 elif lora_method == 'nunchaku':
                     pass # handled directly from extra_networks_lora.load_nunchaku

modules/lora/lora_overrides.py

@@ -56,7 +56,7 @@ fuse_ignore = [
 
 
 def get_method(shorthash=''):
-    use_diffusers = (shared.sd_model_type in force_models_diffusers) or (shared.sd_model.__class__.__name__ in force_classes_diffusers)
+    use_diffusers = shared.opts.lora_force_diffusers or (shared.sd_model_type in force_models_diffusers) or (shared.sd_model.__class__.__name__ in force_classes_diffusers)
     if shared.opts.lora_maybe_diffusers and len(shorthash) > 4:
         use_diffusers = use_diffusers or any(x.startswith(shorthash) for x in maybe_diffusers)
     if shared.opts.lora_force_diffusers and len(shorthash) > 4:

modules/lora/networks.py

@@ -15,6 +15,7 @@ def network_activate(include=[], exclude=[]):
     if shared.opts.diffusers_offload_mode == "sequential":
         sd_models.disable_offload(sd_model)
         sd_models.move_model(sd_model, device=devices.cpu)
+    device = None
     modules = {}
     components = include if len(include) > 0 else ['text_encoder', 'text_encoder_2', 'text_encoder_3', 'unet', 'transformer']
     components = [x for x in components if x not in exclude]