Update app.py

app.py

@@ -33,6 +33,8 @@ torch.backends.cuda.preferred_linalg_library="cusolver"
 
 torch.set_float32_matmul_precision("highest")
 
+hftoken = os.getenv("HF_AUTH_TOKEN") 
+
 def upload_to_ftp(filename):
     try:
         transport = paramiko.Transport((FTP_HOST, 22))
@@ -54,7 +56,7 @@ checkpoint = "microsoft/Phi-3.5-mini-instruct"
 vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", torch_dtype=torch.bfloat16, device_map='balanced')
 
 #pipe = StableDiffusion3Pipeline.from_pretrained("ford442/stable-diffusion-3.5-medium-bf16", torch_dtype=torch.bfloat16, device_map='balanced')
-pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", torch_dtype=torch.float32, device_map='balanced')
+pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", token=hftoken, torch_dtype=torch.float32, device_map='balanced')
 
 # pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, use_karras_sigmas=True, algorithm_type="sde-dpmsolver++")