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| import gradio as gr | |
| import numpy as np | |
| from options import Banner, Video | |
| from huggingface_hub import login | |
| import os | |
| login(token=os.getenv("TOKEN")) | |
| MAX_SEED = np.iinfo(np.int32).max | |
| MAX_IMAGE_SIZE = 2048 | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Create your own Advertisement") | |
| with gr.Tab("Banner"): | |
| gr.Markdown("# Take your banner to the next LEVEL!") | |
| with gr.TabItem("Create your Banner"): | |
| textInput = gr.Textbox(label="Enter the text to get a good start") | |
| with gr.Accordion("Advanced Settings", open=False): | |
| with gr.Row(): | |
| width = gr.Slider( | |
| label="Width", | |
| minimum=256, | |
| maximum=MAX_IMAGE_SIZE, | |
| step=8, | |
| value=1024, | |
| ) | |
| height = gr.Slider( | |
| label="Height", | |
| minimum=256, | |
| maximum=MAX_IMAGE_SIZE, | |
| step=32, | |
| value=1024, | |
| ) | |
| guidance_scale = gr.Slider( | |
| label="Guidance Scale", | |
| minimum=1, | |
| maximum=15, | |
| step=0.1, | |
| value=3.5, | |
| ) | |
| num_inference_steps = gr.Slider( | |
| label="Number of Inference Steps", | |
| minimum=1, | |
| maximum=50, | |
| step=1, | |
| value=28, | |
| ) | |
| submit = gr.Button("Submit") | |
| submit.click( | |
| fn=Banner.TextImage, | |
| inputs=[textInput, width, height, guidance_scale, num_inference_steps], | |
| outputs=gr.Image() | |
| ) | |
| with gr.TabItem("Edit your Banner"): | |
| with gr.Row(): | |
| with gr.Column(): | |
| input_image_editor_component = gr.ImageEditor( | |
| label='Image', | |
| type='pil', | |
| sources=["upload", "webcam"], | |
| image_mode='RGB', | |
| layers=False, | |
| brush=gr.Brush(colors=["#FFFFFF"], color_mode="fixed")) | |
| with gr.Row(): | |
| input_text_component = gr.Text( | |
| label="Prompt", | |
| show_label=False, | |
| max_lines=1, | |
| placeholder="Enter your prompt", | |
| container=False, | |
| ) | |
| submit_button_component = gr.Button( | |
| value='Submit', variant='primary', scale=0) | |
| with gr.Accordion("Advanced Settings", open=False): | |
| seed_slicer_component = gr.Slider( | |
| label="Seed", | |
| minimum=0, | |
| maximum=MAX_SEED, | |
| step=1, | |
| value=42, | |
| ) | |
| randomize_seed_checkbox_component = gr.Checkbox( | |
| label="Randomize seed", value=True) | |
| with gr.Row(): | |
| strength_slider_component = gr.Slider( | |
| label="Strength", | |
| info="Indicates extent to transform the reference `image`. " | |
| "Must be between 0 and 1. `image` is used as a starting " | |
| "point and more noise is added the higher the `strength`.", | |
| minimum=0, | |
| maximum=1, | |
| step=0.01, | |
| value=0.85, | |
| ) | |
| num_inference_steps_slider_component = gr.Slider( | |
| label="Number of inference steps", | |
| info="The number of denoising steps. More denoising steps " | |
| "usually lead to a higher quality image at the", | |
| minimum=1, | |
| maximum=50, | |
| step=1, | |
| value=20, | |
| ) | |
| with gr.Column(): | |
| output_image_component = gr.Image( | |
| type='pil', image_mode='RGB', label='Generated image', format="png") | |
| with gr.Accordion("Debug", open=False): | |
| output_mask_component = gr.Image( | |
| type='pil', image_mode='RGB', label='Input mask', format="png") | |
| with gr.Row(): | |
| submit_button_component.click( | |
| fn=Banner.Image2Image, | |
| inputs=[ | |
| input_image_editor_component, | |
| input_text_component, | |
| seed_slicer_component, | |
| randomize_seed_checkbox_component, | |
| strength_slider_component, | |
| num_inference_steps_slider_component | |
| ], | |
| outputs=[ | |
| output_image_component, | |
| output_mask_component | |
| ] | |
| ) | |
| with gr.TabItem("Upgrade your Banner"): | |
| img = gr.Image() | |
| prompt = gr.Textbox(label="Enter the text to get a good start") | |
| btn = gr.Button() | |
| with gr.Accordion("Advanced options", open=False): | |
| size = gr.Slider(label="Size", minimum=256, maximum=MAX_IMAGE_SIZE, step=8, value=1024) | |
| num_inference_steps = gr.Slider(label="num_inference_steps", minimum=1, maximum=100,step=1, value=20) | |
| guidance_scale=gr.Slider(label="guidance_scale", minimum=0.1, maximum=30.0, value=9.0, step=0.1) | |
| out_img = gr.Image() | |
| btn.click(Banner.Image2Image_2, [prompt, img,size,num_inference_steps,guidance_scale], out_img) | |
| with gr.Tab("Video"): | |
| gr.Markdown("# Create your own Video") | |
| img=gr.Image() | |
| btn = gr.Button() | |
| video=gr.Video() | |
| btn.click(Video.Video, img, video) | |
| demo.launch() | |