Spaces:
Sleeping
Sleeping
feat: Update gradio_process_image to handle uploaded image directly
Browse files
app.py
CHANGED
@@ -8,7 +8,7 @@ client_tile_upscaler = Client(tile_upscaler_url)
|
|
8 |
|
9 |
def gradio_process_image(image, resolution, num_inference_steps, strength, hdr, guidance_scale, controlnet_strength, scheduler_name):
|
10 |
result = client_tile_upscaler.predict(
|
11 |
-
param_0=handle_file(image
|
12 |
param_1=resolution,
|
13 |
param_2=num_inference_steps,
|
14 |
param_3=strength,
|
@@ -24,7 +24,7 @@ def gradio_process_image(image, resolution, num_inference_steps, strength, hdr,
|
|
24 |
with gr.Blocks() as demo:
|
25 |
with gr.Row():
|
26 |
with gr.Column():
|
27 |
-
input_image = gr.Image(label="Input Image")
|
28 |
run_button = gr.Button("Enhance Image")
|
29 |
with gr.Column():
|
30 |
output_image = gr.Image(label="Output Image")
|
|
|
8 |
|
9 |
def gradio_process_image(image, resolution, num_inference_steps, strength, hdr, guidance_scale, controlnet_strength, scheduler_name):
|
10 |
result = client_tile_upscaler.predict(
|
11 |
+
param_0=handle_file(image),
|
12 |
param_1=resolution,
|
13 |
param_2=num_inference_steps,
|
14 |
param_3=strength,
|
|
|
24 |
with gr.Blocks() as demo:
|
25 |
with gr.Row():
|
26 |
with gr.Column():
|
27 |
+
input_image = gr.Image(label="Input Image", type="filepath")
|
28 |
run_button = gr.Button("Enhance Image")
|
29 |
with gr.Column():
|
30 |
output_image = gr.Image(label="Output Image")
|