Update app.py

app.py

@@ -1,4 +1,5 @@
 import spaces
+import os
 import gradio as gr
 import torch
 from PIL import Image
@@ -39,7 +40,19 @@ pipe_dev.to("cuda")
 
 # Flux.1-krea
 dtype = torch.bfloat16
-device = "cuda" if torch.cuda.is_available() else "cpu"
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+# ---- CUDA Check ----
+print("CUDA_VISIBLE_DEVICES=", os.environ.get("CUDA_VISIBLE_DEVICES"))
+print("torch.__version__ =", torch.__version__)
+print("torch.version.cuda =", torch.version.cuda)
+print("cuda available:", torch.cuda.is_available())
+print("cuda device count:", torch.cuda.device_count())
+if torch.cuda.is_available():
+    print("current device:", torch.cuda.current_device())
+    print("device name:", torch.cuda.get_device_name(torch.cuda.current_device()))
+
+# --- Model Loading ---
 taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
 good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-Krea-dev", subfolder="vae", torch_dtype=dtype).to(device)
 pipe_krea = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Krea-dev", torch_dtype=dtype, vae=taef1).to(device)