:tada: add negative embedding

app.py

@@ -94,29 +94,27 @@ def inference(
 
     progress(0.1, 'Loading pipeline...')
     if model_id != current_model_id:
-        try:
-            # For NOT Diffusers' Models
-            if model_id not in DIFFUSERS_MODEL_IDS:
-                model_id = EXTERNAL_MODEL_MAPPING[model_id]
+        # For NOT Diffusers' Models
+        if model_id not in DIFFUSERS_MODEL_IDS:
+            model_id = EXTERNAL_MODEL_MAPPING[model_id]
 
-            pipe = DiffusionPipeline.from_pretrained(
-                model_id,
-                torch_dtype=dtype,
-            )
-            pipe.enable_sequential_cpu_offload()
+        pipe = DiffusionPipeline.from_pretrained(
+            model_id,
+            torch_dtype=dtype,
+        )
+        pipe.enable_sequential_cpu_offload()
 
-            current_model_id = model_id
-        except Exception as e:
-            raise gr.Error(str(e))
+        current_model_id = model_id
 
     if not safety_checker:
         pipe.safety_checker = None
 
-    progress(0.3, 'Loading Textual Inversion...')
-    # Load Textual Inversion
-    pipe.load_textual_inversion(
-        "checkpoints/embeddings/BadNegAnatomyV1 neg.pt", token='BadNegAnatomyV1-neg'
-    )
+    if model_id not in DIFFUSERS_MODEL_IDS:
+        progress(0.3, 'Loading Textual Inversion...')
+        # Load Textual Inversion
+        pipe.load_textual_inversion(
+            "checkpoints/embeddings/BadNegAnatomyV1 neg.pt", token='BadNegAnatomyV1-neg'
+        )
 
     # Generation
     progress(0.4, 'Generating images...')