Update app.py

app.py

@@ -24,13 +24,9 @@ os.environ["HF_HOME"] = cache_path
 
 torch.backends.cuda.matmul.allow_tf32 = True
 
-pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
-pipe.load_lora_weights(hf_hub_download("ByteDance/Hyper-SD", "Hyper-FLUX.1-dev-8steps-lora.safetensors"))
-pipe.fuse_lora(lora_scale=0.125)
+pipe = FluxPipeline.from_pretrained("John6666/hyper-flux1-dev-fp8-flux", torch_dtype=torch.bfloat16)
 pipe.to(device="cuda", dtype=torch.bfloat16)
 
-pipe.enable_model_cpu_offload()
-
 # Load LoRAs from JSON file
 with open('loras.json', 'r') as f:
     loras = json.load(f)