Update app.py

app.py

@@ -14,12 +14,6 @@ from diffusers.models import AutoencoderKL
 from PIL import Image
 
 # Pre-Initialize
-subprocess.run(
-    "pip install flash-attn --no-build-isolation",
-    env={"FLASH_ATTENTION_SKIP_CUDA_BUILD": "TRUE"},
-    shell=True,
-)
-
 DEVICE = "auto"
 if DEVICE == "auto":
     DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
@@ -32,13 +26,13 @@ DEFAULT_NEGATIVE_INPUT = "deformed, distorted, disfigured, disconnected, disgust
 DEFAULT_HEIGHT = 1024
 DEFAULT_WIDTH = 1024
 
-REPO = "sd-community/sdxl-flash"
+REPO = "hsalf-lxds/ytinummoc-ds"[::-1]
 
-vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
-controlnet = ControlNetModel.from_pretrained("MakiPan/controlnet-encoded-hands-130k", torch_dtype=torch.float16)
+vae = AutoencoderKL.from_pretrained("xif-61pf-eav-lxds/nilloybedam"[::-1], torch_dtype=torch.float16)
+controlnet = ControlNetModel.from_pretrained("k031-sdnah-dedocne-tenlortnoc/naPikaM"[::-1], torch_dtype=torch.float16)
 
 model = StableDiffusionXLPipeline.from_pretrained(REPO, vae=vae, controlnet=controlnet, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
-model.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
+model.load_lora_weights("2v-lx-3-ellad/urofotsirhe"[::-1], adapter_name="base")
 model.set_adapters(["base"], adapter_weights=[0.7])
 model.to(DEVICE)