Create app-backup-imgrate.py

app-backup-imgrate.py

@@ -0,0 +1,372 @@
+import gradio as gr
+import spaces
+import torch
+from diffusers import AutoencoderKL, TCDScheduler
+from diffusers.models.model_loading_utils import load_state_dict
+from gradio_imageslider import ImageSlider
+from huggingface_hub import hf_hub_download
+
+from controlnet_union import ControlNetModel_Union
+from pipeline_fill_sd_xl import StableDiffusionXLFillPipeline
+
+from PIL import Image, ImageDraw
+import numpy as np
+
+config_file = hf_hub_download(
+    "xinsir/controlnet-union-sdxl-1.0",
+    filename="config_promax.json",
+)
+
+config = ControlNetModel_Union.load_config(config_file)
+controlnet_model = ControlNetModel_Union.from_config(config)
+model_file = hf_hub_download(
+    "xinsir/controlnet-union-sdxl-1.0",
+    filename="diffusion_pytorch_model_promax.safetensors",
+)
+state_dict = load_state_dict(model_file)
+model, _, _, _, _ = ControlNetModel_Union._load_pretrained_model(
+    controlnet_model, state_dict, model_file, "xinsir/controlnet-union-sdxl-1.0"
+)
+model.to(device="cuda", dtype=torch.float16)
+
+vae = AutoencoderKL.from_pretrained(
+    "madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16
+).to("cuda")
+
+pipe = StableDiffusionXLFillPipeline.from_pretrained(
+    "SG161222/RealVisXL_V5.0_Lightning",
+    torch_dtype=torch.float16,
+    vae=vae,
+    controlnet=model,
+    variant="fp16",
+).to("cuda")
+
+pipe.scheduler = TCDScheduler.from_config(pipe.scheduler.config)
+
+
+def can_expand(source_width, source_height, target_width, target_height, alignment):
+    """Checks if the image can be expanded based on the alignment."""
+    if alignment in ("Left", "Right") and source_width >= target_width:
+        return False
+    if alignment in ("Top", "Bottom") and source_height >= target_height:
+        return False
+    return True
+
+@spaces.GPU(duration=24)
+def infer(image, width, height, overlap_width, num_inference_steps, resize_option, custom_resize_size, prompt_input=None, alignment="Middle"):
+    source = image
+    target_size = (width, height)
+    overlap = overlap_width
+
+    # Upscale if source is smaller than target in both dimensions
+    if source.width < target_size[0] and source.height < target_size[1]:
+        scale_factor = min(target_size[0] / source.width, target_size[1] / source.height)
+        new_width = int(source.width * scale_factor)
+        new_height = int(source.height * scale_factor)
+        source = source.resize((new_width, new_height), Image.LANCZOS)
+
+    if source.width > target_size[0] or source.height > target_size[1]:
+        scale_factor = min(target_size[0] / source.width, target_size[1] / source.height)
+        new_width = int(source.width * scale_factor)
+        new_height = int(source.height * scale_factor)
+        source = source.resize((new_width, new_height), Image.LANCZOS)
+    
+    if resize_option == "Full":
+        resize_size = max(source.width, source.height)
+    elif resize_option == "1/2":
+        resize_size = max(source.width, source.height) // 2
+    elif resize_option == "1/3":
+        resize_size = max(source.width, source.height) // 3
+    elif resize_option == "1/4":
+        resize_size = max(source.width, source.height) // 4
+    else:  # Custom
+        resize_size = custom_resize_size
+
+    aspect_ratio = source.height / source.width
+    new_width = resize_size
+    new_height = int(resize_size * aspect_ratio)
+    source = source.resize((new_width, new_height), Image.LANCZOS)
+
+    if not can_expand(source.width, source.height, target_size[0], target_size[1], alignment):
+        alignment = "Middle"
+
+    # Calculate margins based on alignment
+    if alignment == "Middle":
+        margin_x = (target_size[0] - source.width) // 2
+        margin_y = (target_size[1] - source.height) // 2
+    elif alignment == "Left":
+        margin_x = 0
+        margin_y = (target_size[1] - source.height) // 2
+    elif alignment == "Right":
+        margin_x = target_size[0] - source.width
+        margin_y = (target_size[1] - source.height) // 2
+    elif alignment == "Top":
+        margin_x = (target_size[0] - source.width) // 2
+        margin_y = 0
+    elif alignment == "Bottom":
+        margin_x = (target_size[0] - source.width) // 2
+        margin_y = target_size[1] - source.height
+
+    background = Image.new('RGB', target_size, (255, 255, 255))
+    background.paste(source, (margin_x, margin_y))
+
+    mask = Image.new('L', target_size, 255)
+    mask_draw = ImageDraw.Draw(mask)
+
+    # Adjust mask generation based on alignment
+    if alignment == "Middle":
+        mask_draw.rectangle([
+            (margin_x + overlap, margin_y + overlap),
+            (margin_x + source.width - overlap, margin_y + source.height - overlap)
+        ], fill=0)
+    elif alignment == "Left":
+        mask_draw.rectangle([
+            (margin_x, margin_y),
+            (margin_x + source.width - overlap, margin_y + source.height)
+        ], fill=0)
+    elif alignment == "Right":
+        mask_draw.rectangle([
+            (margin_x + overlap, margin_y),
+            (margin_x + source.width, margin_y + source.height)
+        ], fill=0)
+    elif alignment == "Top":
+        mask_draw.rectangle([
+            (margin_x, margin_y),
+            (margin_x + source.width, margin_y + source.height - overlap)
+        ], fill=0)
+    elif alignment == "Bottom":
+        mask_draw.rectangle([
+            (margin_x, margin_y + overlap),
+            (margin_x + source.width, margin_y + source.height)
+        ], fill=0)
+
+    cnet_image = background.copy()
+    cnet_image.paste(0, (0, 0), mask)
+
+    final_prompt = f"{prompt_input} , high quality, 4k"
+
+    (
+        prompt_embeds,
+        negative_prompt_embeds,
+        pooled_prompt_embeds,
+        negative_pooled_prompt_embeds,
+    ) = pipe.encode_prompt(final_prompt, "cuda", True)
+
+    for image in pipe(
+        prompt_embeds=prompt_embeds,
+        negative_prompt_embeds=negative_prompt_embeds,
+        pooled_prompt_embeds=pooled_prompt_embeds,
+        negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
+        image=cnet_image,
+        num_inference_steps=num_inference_steps
+    ):
+        yield cnet_image, image
+
+    image = image.convert("RGBA")
+    cnet_image.paste(image, (0, 0), mask)
+
+    yield background, cnet_image
+
+def clear_result():
+    """Clears the result ImageSlider."""
+    return gr.update(value=None)
+
+def preload_presets(target_ratio, ui_width, ui_height):
+    """Updates the width and height sliders based on the selected aspect ratio."""
+    if target_ratio == "9:16":
+        changed_width = 720
+        changed_height = 1280
+        return changed_width, changed_height, gr.update(open=False)
+    elif target_ratio == "16:9":
+        changed_width = 1280
+        changed_height = 720
+        return changed_width, changed_height, gr.update(open=False)
+    elif target_ratio == "1:1":
+        changed_width = 1024
+        changed_height = 1024
+        return changed_width, changed_height, gr.update(open=False)
+    elif target_ratio == "Custom":
+        return ui_width, ui_height, gr.update(open=True)
+
+def select_the_right_preset(user_width, user_height):
+    if user_width == 720 and user_height == 1280:
+        return "9:16"
+    elif user_width == 1280 and user_height == 720:
+        return "16:9"
+    elif user_width == 1024 and user_height == 1024:
+        return "1:1"
+    else:
+        return "Custom"
+
+def toggle_custom_resize_slider(resize_option):
+    return gr.update(visible=(resize_option == "Custom"))
+
+css = """
+footer {
+    visibility: hidden;
+}
+"""
+
+
+
+with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as demo:
+    with gr.Column():
+
+
+        with gr.Row():
+            with gr.Column():
+                input_image = gr.Image(
+                    type="pil",
+                    label="Input Image"
+                )
+
+                with gr.Row():
+                    with gr.Column(scale=2):
+                        prompt_input = gr.Textbox(label="Prompt (Optional)")
+                    with gr.Column(scale=1):
+                        run_button = gr.Button("Generate")
+
+                with gr.Row():
+                    target_ratio = gr.Radio(
+                        label="Expected Ratio",
+                        choices=["9:16", "16:9", "1:1", "Custom"],
+                        value="9:16",
+                        scale=2
+                    )
+                    
+                    alignment_dropdown = gr.Dropdown(
+                        choices=["Middle", "Left", "Right", "Top", "Bottom"],
+                        value="Middle",
+                        label="고정 위치 선택"
+                    )
+
+                with gr.Accordion(label="Advanced settings", open=False) as settings_panel:
+                    with gr.Column():
+                        with gr.Row():
+                            width_slider = gr.Slider(
+                                label="Width",
+                                minimum=256,
+                                maximum=1536,
+                                step=8,
+                                value=720,  # Set a default value
+                            )
+                            height_slider = gr.Slider(
+                                label="Height",
+                                minimum=256,
+                                maximum=1536,
+                                step=8,
+                                value=480,  # Set a default value
+                            )
+                        with gr.Row():
+                            num_inference_steps = gr.Slider(label="Steps", minimum=4, maximum=12, step=1, value=8)
+                            overlap_width = gr.Slider(
+                                label="Mask overlap width",
+                                minimum=1,
+                                maximum=50,
+                                value=42,
+                                step=1
+                            )
+                        with gr.Row():
+                            resize_option = gr.Radio(
+                                label="Resize input image",
+                                choices=["Full", "1/2", "1/3", "1/4", "Custom"],
+                                value="Full"
+                            )
+
+                            custom_resize_size = gr.Slider(
+                                label="Custom resize size",
+                                minimum=256,  # 이전에는 720이었습니다.
+                                maximum=1024,
+                                step=8,
+                                value=512,  # 초기 값이므로 이 값도 적절히 조정할 수 있습니다.
+                                visible=False  # 기본적으로 이 슬라이더는 숨겨져 있으며, 'Custom'이 선택될 때만 보입니다.
+                            )
+
+                            
+                            
+                gr.Examples(
+                    examples=[
+                        ["./examples/example_2.jpg", 1440, 810, "Middle"],
+                        ["./examples/example_3.jpg", 1024, 1024, "Bottom"],
+                        ["./examples/example_4.png", 1024, 1024, "Top"],                         
+                    ],
+                    inputs=[input_image, width_slider, height_slider, alignment_dropdown],
+                )
+
+            with gr.Column():
+                result = ImageSlider(
+                    interactive=False,
+                    label="Generated Image",
+                )
+                use_as_input_button = gr.Button("Use as Input Image", visible=False)
+
+    def use_output_as_input(output_image):
+        """Sets the generated output as the new input image."""
+        return gr.update(value=output_image[1])
+
+    use_as_input_button.click(
+        fn=use_output_as_input,
+        inputs=[result],
+        outputs=[input_image]
+    )
+    
+    target_ratio.change(
+        fn=preload_presets,
+        inputs=[target_ratio, width_slider, height_slider],
+        outputs=[width_slider, height_slider, settings_panel],
+        queue=False
+    )
+
+    width_slider.change(
+        fn=select_the_right_preset,
+        inputs=[width_slider, height_slider],
+        outputs=[target_ratio],
+        queue=False
+    )
+
+    height_slider.change(
+        fn=select_the_right_preset,
+        inputs=[width_slider, height_slider],
+        outputs=[target_ratio],
+        queue=False
+    )
+
+    resize_option.change(
+        fn=toggle_custom_resize_slider,
+        inputs=[resize_option],
+        outputs=[custom_resize_size],
+        queue=False
+    )
+    
+    run_button.click(
+        fn=clear_result,
+        inputs=None,
+        outputs=result,
+    ).then(
+        fn=infer,
+        inputs=[input_image, width_slider, height_slider, overlap_width, num_inference_steps,
+                resize_option, custom_resize_size, prompt_input, alignment_dropdown],
+        outputs=result,
+    ).then(
+        fn=lambda: gr.update(visible=True),
+        inputs=None,
+        outputs=use_as_input_button,
+    )
+
+    prompt_input.submit(
+        fn=clear_result,
+        inputs=None,
+        outputs=result,
+    ).then(
+        fn=infer,
+        inputs=[input_image, width_slider, height_slider, overlap_width, num_inference_steps,
+                resize_option, custom_resize_size, prompt_input, alignment_dropdown],
+        outputs=result,
+    ).then(
+        fn=lambda: gr.update(visible=True),
+        inputs=None,
+        outputs=use_as_input_button,
+    )
+
+
+demo.queue(max_size=12).launch(share=False)