Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -22,8 +22,10 @@ from stablepy import (
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SDXL_TASKS,
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)
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import time
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# import urllib.parse
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print(os.getenv("SPACES_ZERO_GPU"))
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# - **Download SD 1.5 Models**
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@@ -905,6 +907,45 @@ def sd_gen_generate_pipeline(*args):
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print(msg_task_complete)
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dynamic_gpu_duration.zerogpu = True
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sd_gen_generate_pipeline.zerogpu = True
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sd_gen = GuiSD()
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@@ -1066,9 +1107,9 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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with gr.Accordion("Hires fix", open=False, visible=True):
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upscaler_model_path_gui = gr.Dropdown(label="Upscaler", choices=UPSCALER_KEYS, value=UPSCALER_KEYS[0])
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upscaler_increases_size_gui = gr.Slider(minimum=1.1, maximum=
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esrgan_tile_gui = gr.Slider(minimum=0, value=
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esrgan_tile_overlap_gui = gr.Slider(minimum=1, maximum=200, step=1, value=
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hires_steps_gui = gr.Slider(minimum=0, value=30, maximum=100, step=1, label="Hires Steps")
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hires_denoising_strength_gui = gr.Slider(minimum=0.1, maximum=1.0, step=0.01, value=0.55, label="Hires Denoising Strength")
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hires_sampler_gui = gr.Dropdown(label="Hires Sampler", choices=POST_PROCESSING_SAMPLER, value=POST_PROCESSING_SAMPLER[0])
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@@ -1510,20 +1551,6 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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btn_send.click(send_img, [img_source, img_result], [image_control, image_mask_gui])
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with gr.Tab("PNG Info"):
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def extract_exif_data(image):
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if image is None: return ""
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try:
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metadata_keys = ['parameters', 'metadata', 'prompt', 'Comment']
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for key in metadata_keys:
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if key in image.info:
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return image.info[key]
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return str(image.info)
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except Exception as e:
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return f"Error extracting metadata: {str(e)}"
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with gr.Row():
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with gr.Column():
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@@ -1538,6 +1565,24 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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outputs=[result_metadata],
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)
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generate_button.click(
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fn=sd_gen.load_new_model,
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inputs=[
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@@ -1668,4 +1713,4 @@ app.launch(
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show_error=True,
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debug=True,
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allowed_paths=["./images/"],
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)
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SDXL_TASKS,
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)
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import time
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from PIL import ImageFile
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# import urllib.parse
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ImageFile.LOAD_TRUNCATED_IMAGES = True
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print(os.getenv("SPACES_ZERO_GPU"))
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# - **Download SD 1.5 Models**
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print(msg_task_complete)
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def extract_exif_data(image):
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if image is None: return ""
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try:
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metadata_keys = ['parameters', 'metadata', 'prompt', 'Comment']
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for key in metadata_keys:
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if key in image.info:
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return image.info[key]
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return str(image.info)
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except Exception as e:
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return f"Error extracting metadata: {str(e)}"
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@spaces.GPU(duration=20)
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def esrgan_upscale(image, upscaler_name, upscaler_size):
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if image is None: return None
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from stablepy.diffusers_vanilla.utils import save_pil_image_with_metadata
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from stablepy import UpscalerESRGAN
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exif_image = extract_exif_data(image)
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url_upscaler = UPSCALER_DICT_GUI[upscaler_name]
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directory_upscalers = 'upscalers'
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os.makedirs(directory_upscalers, exist_ok=True)
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if not os.path.exists(f"./upscalers/{url_upscaler.split('/')[-1]}"):
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download_things(directory_upscalers, url_upscaler, HF_TOKEN)
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scaler_beta = UpscalerESRGAN(0, 0)
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image_up = scaler_beta.upscale(image, upscaler_size, f"./upscalers/{url_upscaler.split('/')[-1]}")
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image_path = save_pil_image_with_metadata(image_up, f'{os.getcwd()}/up_images', exif_image)
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return image_path
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dynamic_gpu_duration.zerogpu = True
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sd_gen_generate_pipeline.zerogpu = True
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sd_gen = GuiSD()
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with gr.Accordion("Hires fix", open=False, visible=True):
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upscaler_model_path_gui = gr.Dropdown(label="Upscaler", choices=UPSCALER_KEYS, value=UPSCALER_KEYS[0])
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upscaler_increases_size_gui = gr.Slider(minimum=1.1, maximum=4., step=0.1, value=1.2, label="Upscale by")
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esrgan_tile_gui = gr.Slider(minimum=0, value=0, maximum=500, step=1, label="ESRGAN Tile")
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esrgan_tile_overlap_gui = gr.Slider(minimum=1, maximum=200, step=1, value=8, label="ESRGAN Tile Overlap")
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hires_steps_gui = gr.Slider(minimum=0, value=30, maximum=100, step=1, label="Hires Steps")
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hires_denoising_strength_gui = gr.Slider(minimum=0.1, maximum=1.0, step=0.01, value=0.55, label="Hires Denoising Strength")
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hires_sampler_gui = gr.Dropdown(label="Hires Sampler", choices=POST_PROCESSING_SAMPLER, value=POST_PROCESSING_SAMPLER[0])
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btn_send.click(send_img, [img_source, img_result], [image_control, image_mask_gui])
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with gr.Tab("PNG Info"):
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with gr.Row():
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with gr.Column():
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outputs=[result_metadata],
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)
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with gr.Tab("Upscaler"):
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with gr.Row():
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with gr.Column():
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image_up_tab = gr.Image(label="Image", type="pil", sources=["upload"])
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upscaler_tab = gr.Dropdown(label="Upscaler", choices=UPSCALER_KEYS[9:], value=UPSCALER_KEYS[11])
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upscaler_size_tab = gr.Slider(minimum=1., maximum=4., step=0.1, value=1.1, label="Upscale by")
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generate_button_up_tab = gr.Button(value="START UPSCALE", variant="primary")
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with gr.Column():
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result_up_tab = gr.Image(label="Result", type="pil", interactive=False, format="png")
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generate_button_up_tab.click(
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fn=esrgan_upscale,
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inputs=[image_up_tab, upscaler_tab, upscaler_size_tab],
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outputs=[result_up_tab],
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)
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generate_button.click(
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fn=sd_gen.load_new_model,
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inputs=[
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show_error=True,
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debug=True,
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allowed_paths=["./images/"],
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)
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