prithivMLmods commited on
Commit
3ce50bb
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verified ·
1 Parent(s): d3964a9

Update app.py

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Files changed (1) hide show
  1. app.py +15 -1
app.py CHANGED
@@ -11,6 +11,20 @@ from huggingface_hub import hf_hub_download
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  from aura_sr import AuraSR
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  from gradio_imageslider import ImageSlider
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  # --- Main Model Initialization ---
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  MAX_SEED = np.iinfo(np.int32).max
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  pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16).to("cuda")
@@ -182,4 +196,4 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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  outputs=[input_image]
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  )
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- demo.launch(mcp_server=True)
 
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  from aura_sr import AuraSR
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  from gradio_imageslider import ImageSlider
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+ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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+
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+ # --- # Device and CUDA Setup Check ---
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+ print("CUDA_VISIBLE_DEVICES=", os.environ.get("CUDA_VISIBLE_DEVICES"))
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+ print("torch.__version__ =", torch.__version__)
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+ print("torch.version.cuda =", torch.version.cuda)
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+ print("cuda available:", torch.cuda.is_available())
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+ print("cuda device count:", torch.cuda.device_count())
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+ if torch.cuda.is_available():
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+ print("current device:", torch.cuda.current_device())
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+ print("device name:", torch.cuda.get_device_name(torch.cuda.current_device()))
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+
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+ print("Using device:", device)
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+
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  # --- Main Model Initialization ---
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  MAX_SEED = np.iinfo(np.int32).max
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  pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16).to("cuda")
 
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  outputs=[input_image]
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  )
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+ demo.launch(share=True, mcp_server=True, ssr_mode=False, show_error=True)