Update app.py

app.py

@@ -47,18 +47,18 @@ pipe = FluxWithCFGPipeline.from_pretrained("ostris/OpenFLUX.1", torch_dtype=dtyp
 pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to("cuda")
 
 pipe.to("cuda")
-clipmodel = 'norm'
-if clipmodel == "long":
-    model_id = "zer0int/LongCLIP-GmP-ViT-L-14"
-    config = CLIPConfig.from_pretrained(model_id)
-if clipmodel == "norm":
-    model_id = "zer0int/CLIP-GmP-ViT-L-14"
-    config = CLIPConfig.from_pretrained(model_id)
-clip_model = CLIPModel.from_pretrained(model_id, torch_dtype=torch.bfloat16, config=config, ignore_mismatched_sizes=False).to("cuda")
-clip_processor = CLIPProcessor.from_pretrained(model_id, padding="max_length", ignore_mismatched_sizes=False, return_tensors="pt", truncation=True)
-pipe.tokenizer = clip_processor.tokenizer
-pipe.text_encoder = clip_model.text_model
-pipe.text_encoder.dtype = torch.bfloat16
+#clipmodel = 'norm'
+#if clipmodel == "long":
+#    model_id = "zer0int/LongCLIP-GmP-ViT-L-14"
+#    config = CLIPConfig.from_pretrained(model_id)
+#if clipmodel == "norm":
+#    model_id = "zer0int/CLIP-GmP-ViT-L-14"
+#    config = CLIPConfig.from_pretrained(model_id)
+#clip_model = CLIPModel.from_pretrained(model_id, torch_dtype=torch.bfloat16, config=config, ignore_mismatched_sizes=False).to("cuda")
+#clip_processor = CLIPProcessor.from_pretrained(model_id, padding="max_length", ignore_mismatched_sizes=False, return_tensors="pt", truncation=True)
+#pipe.tokenizer = clip_processor.tokenizer
+#pipe.text_encoder = clip_model.text_model
+#pipe.text_encoder.dtype = torch.bfloat16
 torch.cuda.empty_cache()
 
 MAX_SEED = 2**32-1