Update app.py

app.py

@@ -24,7 +24,7 @@ from models.eva_clip import create_model_and_transforms
 from models.eva_clip.constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD
 from models.eva_clip.utils_qformer import resize_numpy_image_long
 os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True"
-os.environ["ZERO_GPU_PATCH_TORCH_DEVICE"] = "True"
+os.environ["ZERO_GPU_PATCH_TORCH_DEVICE"] = "False"
 device = "cuda" if torch.cuda.is_available() else "cpu"
 from accelerate import Accelerator
 accelerator=Accelerator()
@@ -199,8 +199,8 @@ with gr.Blocks() as demo:
                 with gr.Group():
                     with gr.Column():
                         with gr.Row():
-                            stips = gr.Slider(label="Steps", minimum=6, step=1, maximum=10, value=10)
-                            gscale = gr.Slider(label="Guidance scale", minimum=1, step=0.1, maximum=20, value=7.0)
+                            stips = gr.Slider(label="Steps", minimum=6, step=1, maximum=100, value=50)
+                            gscale = gr.Slider(label="Guidance scale", minimum=1, step=0.1, maximum=20, value=6.0)
                             seed_param = gr.Slider(label="Inference Seed (Leave -1 for random)", minimum=0, step=32, maximum=np.iinfo(np.int32).max, value=-1)
                         with gr.Row():
                             enable_scale = gr.Checkbox(label="Super-Resolution (720 × 480 -> 2880 × 1920) Real-ESRGAN", value=False, interactive=False)
@@ -227,4 +227,4 @@ with gr.Blocks() as demo:
     )
 
 demo.queue(max_size=15, api_open=False)
-demo.launch(debug=True,inline=False,show_api=False,share=False)
+demo.launch(debug=True,inline=False,show_api=False,share=True)