Same format as input image

gradio_demo.py

@@ -79,7 +79,7 @@ def check(input_image):
 def reset_feedback():
     return 3, ''
 
-@spaces.GPU(duration=480)
+@spaces.GPU(duration=540)
 def stage1_process(input_image, gamma_correction):
     print('stage1_process ==>>')
     if torch.cuda.device_count() == 0:
@@ -101,7 +101,7 @@ def stage1_process(input_image, gamma_correction):
     print('<<== stage1_process')
     return LQ, gr.update(visible = True)
 
-@spaces.GPU(duration=480)
+@spaces.GPU(duration=540)
 def llave_process(input_image, temperature, top_p, qs=None):
     print('llave_process ==>>')
     if torch.cuda.device_count() == 0:
@@ -117,7 +117,7 @@ def llave_process(input_image, temperature, top_p, qs=None):
     print('<<== llave_process')
     return captions[0]
 
-@spaces.GPU(duration=480)
+@spaces.GPU(duration=540)
 def stage2_process(
     noisy_image,
     denoise_image,
@@ -152,6 +152,11 @@ def stage2_process(
     if torch.cuda.device_count() == 0:
         gr.Warning('Set this space to GPU config to make it work.')
         return None, None, None
+    if output_format == "input":
+        if noisy_image is None:
+            output_format = "png"
+        else:
+            output_format = noisy_image.format
     input_image = noisy_image if denoise_image is None else denoise_image
     if 1 < downscale:
         input_height, input_width, input_channel = np.array(input_image).shape
@@ -292,7 +297,7 @@ title_html = """
     LlaVa is not integrated in this demo. The content added by SUPIR is imagination, not real-world information.
     The aim of SUPIR is the beauty and the illustration.
     Most of the processes only last few minutes.
-    This demo can handle huge images but the process will be aborted if it lasts more than 8 min.
+    This demo can handle huge images but the process will be aborted if it lasts more than 9 min.
     
     <p><center><a href="https://arxiv.org/abs/2401.13627">Paper</a> &emsp; <a href="http://supir.xpixel.group/">Project Page</a> &emsp; <a href="https://github.com/Fanghua-Yu/SUPIR/blob/master/assets/DemoGuide.png">How to play</a> &emsp; <a href="https://huggingface.co/blog/MonsterMMORPG/supir-sota-image-upscale-better-than-magnific-ai">Local Install Guide</a></center></p>
     """
@@ -336,7 +341,7 @@ with gr.Blocks(title="SUPIR") as interface:
                                     'hyper sharpness, perfect without deformations.',
                               lines=3)
         a_prompt_hint = gr.HTML("You can use a <a href='"'https://huggingface.co/spaces/MaziyarPanahi/llava-llama-3-8b'"'>LlaVa space</a> to auto-generate the description of your image.")
-        output_format = gr.Radio([["*.png", "png"], ["*.webp", "webp"], ["*.jpeg", "jpeg"], ["*.gif", "gif"], ["*.bmp", "bmp"]], label="Image format for result", info="File extention", value="png", interactive=True)
+        output_format = gr.Radio([["As original image", "input"], ["*.png", "png"], ["*.webp", "webp"], ["*.jpeg", "jpeg"], ["*.gif", "gif"], ["*.bmp", "bmp"]], label="Image format for result", info="File extention", value="input", interactive=True)
 
     with gr.Accordion("Pre-denoising (optional)", open=False):
         gamma_correction = gr.Slider(label="Gamma Correction", info = "lower=lighter, higher=darker", minimum=0.1, maximum=2.0, value=1.0, step=0.1)