Attempt to add additional prompts to upscaler

Add field for additional prompts for the upscaleAttempt to add
additional prompts to upscaler

Add field for additional prompts for the upscalerr

.tool-versions

@@ -1 +1 @@
-python 3.13.1
+python 3.10.0

app.py

@@ -167,8 +167,11 @@ def gradio_process_image(input_image, resolution, num_inference_steps, strength,
     
     condition_image = prepare_image(input_image, resolution, hdr)
     
-    prompt = "masterpiece, best quality, highres"
-    negative_prompt = "low quality, normal quality, ugly, blurry, blur, lowres, bad anatomy, bad hands, cropped, worst quality, verybadimagenegative_v1.3, JuggernautNegative-neg"
+    # prompt = "masterpiece, best quality, highres"
+    # negative_prompt = "low quality, normal quality, ugly, blurry, blur, lowres, bad anatomy, bad hands, cropped, worst quality, verybadimagenegative_v1.3, JuggernautNegative-neg"
+
+    prompt = ""
+    negative_prompt = ""
     
     options = {
         "prompt": prompt,
@@ -220,14 +223,14 @@ with gr.Blocks() as demo:
                      inputs=[input_image, resolution, num_inference_steps, strength, hdr, guidance_scale],
                      outputs=output_slider)
 
-    # Add examples with all required inputs
-    gr.Examples(
-        examples=[
-        ],
-        inputs=[input_image, resolution, num_inference_steps, strength, hdr, guidance_scale],
-        outputs=output_slider,
-        fn=gradio_process_image,
-        cache_examples=True,
-    )
+    # # Add examples with all required inputs
+    # gr.Examples(
+    #     examples=[
+    #     ],
+    #     inputs=[input_image, resolution, num_inference_steps, strength, hdr, guidance_scale],
+    #     outputs=output_slider,
+    #     fn=gradio_process_image,
+    #     cache_examples=True,
+    # )
 
 demo.launch(share=True)