Only one result can be shown in the slider
Browse files- gradio_demo.py +7 -6
gradio_demo.py
CHANGED
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@@ -28,7 +28,7 @@ parser.add_argument("--opt", type=str, default='options/SUPIR_v0.yaml')
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parser.add_argument("--ip", type=str, default='127.0.0.1')
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parser.add_argument("--port", type=int, default='6688')
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parser.add_argument("--no_llava", action='store_true', default=True)#False
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-
parser.add_argument("--use_image_slider", action='store_true', default=
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parser.add_argument("--log_history", action='store_true', default=False)
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parser.add_argument("--loading_half_params", action='store_true', default=False)#False
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parser.add_argument("--use_tile_vae", action='store_true', default=True)#False
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@@ -78,7 +78,7 @@ def check(input_image):
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def reset_feedback():
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return 3, ''
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@spaces.GPU(duration=
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def stage1_process(input_image, gamma_correction):
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print('Start stage1_process')
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if torch.cuda.device_count() == 0:
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@@ -100,7 +100,7 @@ def stage1_process(input_image, gamma_correction):
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print('End stage1_process')
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return LQ, gr.update(visible = True)
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@spaces.GPU(duration=
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def llave_process(input_image, temperature, top_p, qs=None):
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print('Start llave_process')
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if torch.cuda.device_count() == 0:
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@@ -116,7 +116,7 @@ def llave_process(input_image, temperature, top_p, qs=None):
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print('End llave_process')
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return captions[0]
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-
@spaces.GPU(duration=
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def stage2_process(
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noisy_image,
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denoise_image,
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@@ -223,7 +223,8 @@ def stage2_process(
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((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
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str(secondes) + " sec."
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-
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def load_and_reset(param_setting):
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print('Start load_and_reset')
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@@ -284,7 +285,7 @@ title_html = """
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LlaVa is not integrated in this demo. The content added by SUPIR is imagination, not real-world information.
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The aim of SUPIR is the beauty and the illustration.
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Most of the processes only last few minutes.
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-
This demo can handle huge images but the process will be aborted if it lasts more than
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<p><center><a href="https://arxiv.org/abs/2401.13627">Paper</a>   <a href="http://supir.xpixel.group/">Project Page</a>   <a href="https://github.com/Fanghua-Yu/SUPIR/blob/master/assets/DemoGuide.png">How to play</a>   <a href="https://huggingface.co/blog/MonsterMMORPG/supir-sota-image-upscale-better-than-magnific-ai">Local Install Guide</a></center></p>
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"""
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parser.add_argument("--ip", type=str, default='127.0.0.1')
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parser.add_argument("--port", type=int, default='6688')
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parser.add_argument("--no_llava", action='store_true', default=True)#False
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+
parser.add_argument("--use_image_slider", action='store_true', default=False)#False
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parser.add_argument("--log_history", action='store_true', default=False)
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parser.add_argument("--loading_half_params", action='store_true', default=False)#False
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parser.add_argument("--use_tile_vae", action='store_true', default=True)#False
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def reset_feedback():
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return 3, ''
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+
@spaces.GPU(duration=300)
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def stage1_process(input_image, gamma_correction):
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print('Start stage1_process')
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if torch.cuda.device_count() == 0:
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print('End stage1_process')
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return LQ, gr.update(visible = True)
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+
@spaces.GPU(duration=300)
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def llave_process(input_image, temperature, top_p, qs=None):
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print('Start llave_process')
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if torch.cuda.device_count() == 0:
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print('End llave_process')
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return captions[0]
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+
@spaces.GPU(duration=300)
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def stage2_process(
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noisy_image,
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denoise_image,
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((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
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str(secondes) + " sec."
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# Only one image can be shown in the slider
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return [noisy_image] + [results[0]], [noisy_image] + results, gr.update(value = information, visible = True), event_id
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def load_and_reset(param_setting):
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print('Start load_and_reset')
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LlaVa is not integrated in this demo. The content added by SUPIR is imagination, not real-world information.
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The aim of SUPIR is the beauty and the illustration.
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Most of the processes only last few minutes.
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+
This demo can handle huge images but the process will be aborted if it lasts more than 4min.
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<p><center><a href="https://arxiv.org/abs/2401.13627">Paper</a>   <a href="http://supir.xpixel.group/">Project Page</a>   <a href="https://github.com/Fanghua-Yu/SUPIR/blob/master/assets/DemoGuide.png">How to play</a>   <a href="https://huggingface.co/blog/MonsterMMORPG/supir-sota-image-upscale-better-than-magnific-ai">Local Install Guide</a></center></p>
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"""
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