Update app.py

app.py

@@ -16,7 +16,7 @@ good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfold
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=dtype, vae=taef1).to(device)
 ds = load_dataset("weathon/anti_aesthetics_dataset_test", split="train[:100]")
 
-pipe.load_lora_weights("weathon/anti_aesthetics_lora_2", weight_name="checkpoint-2500/pytorch_lora_weights.safetensors")
+pipe.load_lora_weights("weathon/anti_aesthetics_lora_2", weight_name="checkpoint-1500/pytorch_lora_weights.safetensors")
 pipe.to("cuda")
     
 torch.cuda.empty_cache()