Update app.py

app.py

@@ -37,8 +37,8 @@ if not torch.cuda.is_available():
 base_model = "black-forest-labs/FLUX.1-dev"
 pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
 
-lora_repo = "prithivMLmods/Purple-Dreamy-Flux-LoRA"
-trigger_word = "Purple Dreamy"  # Leave trigger_word blank if not used.
+lora_repo = "prithivMLmods/Lime-Green-Flux-LoRA"
+trigger_word = "Lime Green"  # Leave trigger_word blank if not used.
 pipe.load_lora_weights(lora_repo)
 
 pipe.to("cuda")