app.py

import os
import sys
import pdb
import random
import numpy as np
from PIL import Image
import base64
from io import BytesIO

import torch
from torchvision import transforms
import torchvision.transforms.functional as TF
import gradio as gr

from src.model import make_1step_sched
from src.pix2pix_turbo import Pix2Pix_Turbo

model = Pix2Pix_Turbo("sketch_to_image_stochastic")

style_list = [
    {
        "name": "Cinematic",
        "prompt": "cinematic still {prompt} . emotional, harmonious, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
    },
    {
        "name": "3D Model",
        "prompt": "professional 3d model {prompt} . octane render, highly detailed, volumetric, dramatic lighting",
    },
    {
        "name": "Anime",
        "prompt": "anime artwork {prompt} . anime style, key visual, vibrant, studio anime,  highly detailed",
    },
    {
        "name": "Digital Art",
        "prompt": "concept art {prompt} . digital artwork, illustrative, painterly, matte painting, highly detailed",
    },
    {
        "name": "Photographic",
        "prompt": "cinematic photo {prompt} . 35mm photograph, film, bokeh, professional, 4k, highly detailed",
    },
    {
        "name": "Pixel art",
        "prompt": "pixel-art {prompt} . low-res, blocky, pixel art style, 8-bit graphics",
    },
    {
        "name": "Fantasy art",
        "prompt": "ethereal fantasy concept art of  {prompt} . magnificent, celestial, ethereal, painterly, epic, majestic, magical, fantasy art, cover art, dreamy",
    },
    {
        "name": "Neonpunk",
        "prompt": "neonpunk style {prompt} . cyberpunk, vaporwave, neon, vibes, vibrant, stunningly beautiful, crisp, detailed, sleek, ultramodern, magenta highlights, dark purple shadows, high contrast, cinematic, ultra detailed, intricate, professional",
    },
    {
        "name": "Manga",
        "prompt": "manga style {prompt} . vibrant, high-energy, detailed, iconic, Japanese comic style",
    },
]

styles = {k["name"]: k["prompt"] for k in style_list}
STYLE_NAMES = list(styles.keys())
DEFAULT_STYLE_NAME = "Fantasy art"
MAX_SEED = np.iinfo(np.int32).max


def pil_image_to_data_uri(img, format='PNG'):
    buffered = BytesIO()
    img.save(buffered, format=format)
    img_str = base64.b64encode(buffered.getvalue()).decode()
    return f"data:image/{format.lower()};base64,{img_str}"


def run(image, prompt, prompt_template, style_name, seed, val_r):
    print(f"prompt: {prompt}")
    print("sketch updated")
    if image is None:
        ones = Image.new("L", (512, 512), 255)
        temp_uri = pil_image_to_data_uri(ones)
        return ones, gr.update(link=temp_uri), gr.update(link=temp_uri)
    prompt = prompt_template.replace("{prompt}", prompt)
    image = image.convert("RGB")
    image_t = TF.to_tensor(image) > 0.5
    image_pil = TF.to_pil_image(image_t.to(torch.float32))
    print(f"r_val={val_r}, seed={seed}")
    with torch.no_grad():
        c_t = image_t.unsqueeze(0).cuda().float()
        torch.manual_seed(seed)
        B,C,H,W = c_t.shape
        noise = torch.randn((1,4,H//8, W//8), device=c_t.device)
        output_image = model(c_t, prompt, deterministic=False, r=val_r, noise_map=noise)
    output_pil = TF.to_pil_image(output_image[0].cpu()*0.5+0.5)
    input_sketch_uri = pil_image_to_data_uri(Image.fromarray(255-np.array(image)))
    output_image_uri = pil_image_to_data_uri(output_pil)
    return output_pil, gr.update(link=input_sketch_uri), gr.update(link=output_image_uri)


def update_canvas(use_line, use_eraser):
    if use_eraser:
        _color = "#ffffff"
        brush_size = 20
    if use_line:
        _color = "#000000"
        brush_size = 4
    return gr.update(brush_radius=brush_size, brush_color=_color, interactive=True)


def upload_sketch(file):
    _img = Image.open(file.name)
    _img = _img.convert("L")
    return gr.update(value=_img, source="upload", interactive=True)


scripts = """
async () => {
    globalThis.theSketchDownloadFunction = () => {
        console.log("test")
        var link = document.createElement("a");
        dataUri = document.getElementById('download_sketch').href
        link.setAttribute("href", dataUri)
        link.setAttribute("download", "sketch.png")
        document.body.appendChild(link); // Required for Firefox
        link.click();
        document.body.removeChild(link); // Clean up
      
        // also call the output download function
        theOutputDownloadFunction();
      return false
    }

    globalThis.theOutputDownloadFunction = () => {
        console.log("test output download function")
        var link = document.createElement("a");
        dataUri = document.getElementById('download_output').href
        link.setAttribute("href", dataUri);
        link.setAttribute("download", "output.png");
        document.body.appendChild(link); // Required for Firefox
        link.click();
        document.body.removeChild(link); // Clean up
      return false
    }

    globalThis.UNDO_SKETCH_FUNCTION = () => {
        console.log("undo sketch function")
        var button_undo = document.querySelector('#input_image > div.image-container.svelte-p3y7hu > div.svelte-s6ybro > button:nth-child(1)');
        // Create a new 'click' event
        var event = new MouseEvent('click', {
            'view': window,
            'bubbles': true,
            'cancelable': true
        });
        button_undo.dispatchEvent(event);
    }

    globalThis.DELETE_SKETCH_FUNCTION = () => {
        console.log("delete sketch function")
        var button_del = document.querySelector('#input_image > div.image-container.svelte-p3y7hu > div.svelte-s6ybro > button:nth-child(2)');
        // Create a new 'click' event
        var event = new MouseEvent('click', {
            'view': window,
            'bubbles': true,
            'cancelable': true
        });
        button_del.dispatchEvent(event);
    }

    globalThis.togglePencil = () => {
        el_pencil = document.getElementById('my-toggle-pencil');
        el_pencil.classList.toggle('clicked');
        // simulate a click on the gradio button
        btn_gradio = document.querySelector("#cb-line > label > input");
        var event = new MouseEvent('click', {
            'view': window,
            'bubbles': true,
            'cancelable': true
        });
        btn_gradio.dispatchEvent(event);
        if (el_pencil.classList.contains('clicked')) {
            document.getElementById('my-toggle-eraser').classList.remove('clicked');
            document.getElementById('my-div-pencil').style.backgroundColor = "gray";
            document.getElementById('my-div-eraser').style.backgroundColor = "white";
        }
        else {
            document.getElementById('my-toggle-eraser').classList.add('clicked');
            document.getElementById('my-div-pencil').style.backgroundColor = "white";
            document.getElementById('my-div-eraser').style.backgroundColor = "gray";
        }
        
    }

    globalThis.toggleEraser = () => {
        element = document.getElementById('my-toggle-eraser');
        element.classList.toggle('clicked');
        // simulate a click on the gradio button
        btn_gradio = document.querySelector("#cb-eraser > label > input");
        var event = new MouseEvent('click', {
            'view': window,
            'bubbles': true,
            'cancelable': true
        });
        btn_gradio.dispatchEvent(event);
        if (element.classList.contains('clicked')) {
            document.getElementById('my-toggle-pencil').classList.remove('clicked');
            document.getElementById('my-div-pencil').style.backgroundColor = "white";
            document.getElementById('my-div-eraser').style.backgroundColor = "gray";
        }
        else {
            document.getElementById('my-toggle-pencil').classList.add('clicked');
            document.getElementById('my-div-pencil').style.backgroundColor = "gray";
            document.getElementById('my-div-eraser').style.backgroundColor = "white";
        }
    }
}
"""

with gr.Blocks(css="style.css") as demo:
    gr.Markdown("# pix2pix-Turbo: **Sketch**", elem_id="description")
    gr.Markdown("**Paper:** [One-Step Image Translation with Text-to-Image Models](https://arxiv.org/abs/2403.12036) ", elem_id="paper_name")
    gr.Markdown("**GitHub:** https://github.com/GaParmar/img2img-turbo", elem_id="github")
    # these are hidden buttons that are used to trigger the canvas changes
    line = gr.Checkbox(label="line", value=False, elem_id="cb-line")
    eraser = gr.Checkbox(label="eraser", value=False, elem_id="cb-eraser")
    with gr.Row(elem_id="main_row"):
        with gr.Column(elem_id="column_input"):
            gr.Markdown("## INPUT", elem_id="input_header")
            image = gr.Image(
                source="canvas", tool="color-sketch", type="pil", image_mode="L",
                invert_colors=True, shape=(512, 512), brush_radius=4, height=440, width=440,
                brush_color="#000000", interactive=True, show_download_button=True, elem_id="input_image", show_label=False)
            download_sketch = gr.Button("Download sketch", scale=1, elem_id="download_sketch")
            
            gr.HTML("""
            <div class="button-row">
                <div id="my-div-pencil" class="pad2"> <button id="my-toggle-pencil" onclick="return togglePencil(this)"></button> </div>
                <div id="my-div-eraser" class="pad2"> <button id="my-toggle-eraser" onclick="return toggleEraser(this)"></button> </div>
                <div class="pad2"> <button id="my-button-undo" onclick="return UNDO_SKETCH_FUNCTION(this)"></button> </div>
                <div class="pad2"> <button id="my-button-clear" onclick="return DELETE_SKETCH_FUNCTION(this)"></button> </div>
                <div class="pad2"> <button href="TODO" download="image" id="my-button-down" onclick='return theSketchDownloadFunction()'></button> </div>
            </div>
            """)
            # gr.Markdown("## Prompt", elem_id="tools_header")
            prompt = gr.Textbox(label="Prompt", value="", show_label=True)
            with gr.Row():
                style = gr.Dropdown(label="Style", choices=STYLE_NAMES, value=DEFAULT_STYLE_NAME, scale=1)
                prompt_temp = gr.Textbox(label="Prompt Style Template", value=styles[DEFAULT_STYLE_NAME], scale=2, max_lines=1)
            
            with gr.Row():
                val_r = gr.Slider(label="Sketch guidance gamma: ", show_label=True, minimum=0, maximum=1, value=0.4, step=0.01, scale=3)
                seed = gr.Textbox(label="Seed", value=42, scale=1, min_width=50)
                randomize_seed = gr.Button("Random", scale=1, min_width=50)

        with gr.Column(elem_id="column_process", min_width=50, scale=0.2):
            run_button = gr.Button("Run", min_width=50)

        with gr.Column(elem_id="column_output"):
            gr.Markdown("## OUTPUT", elem_id="output_header")
            result = gr.Image(label="Result", height=440, width=440, elem_id="output_image", show_label=False, show_download_button=True)
            download_output = gr.Button("Download output", elem_id="download_output")
            gr.Markdown("### Instructions")
            gr.Markdown("**1**. Enter a text prompt.")
            gr.Markdown("**2**. Sketch the image you want to draw")
            gr.Markdown("**3**. Select the style of the image with the Prompt Style Template")
            gr.Markdown("**4**. Adjust the Sketch guidance gamma to control the influence of the sketch on the final image")
            gr.Markdown("**5**. Try different seeds to get different results")

    
    eraser.change(fn=lambda x: gr.update(value=not x), inputs=[eraser], outputs=[line]).then(update_canvas, [line, eraser], [image])
    line.change(fn=lambda x: gr.update(value=not x), inputs=[line], outputs=[eraser]).then(update_canvas, [line, eraser], [image])

    demo.load(None,None,None,_js=scripts)
    randomize_seed.click(lambda x: random.randint(0, MAX_SEED), inputs=[], outputs=seed)
    inputs = [image, prompt, prompt_temp, style, seed, val_r]
    outputs = [result, download_sketch, download_output]
    prompt.submit(fn=run, inputs=inputs, outputs=outputs)
    style.change(lambda x: styles[x], inputs=[style], outputs=[prompt_temp]).then(
        fn=run, inputs=inputs, outputs=outputs,)
    val_r.change(run, inputs=inputs, outputs=outputs)
    run_button.click(fn=run, inputs=inputs, outputs=outputs)
    image.change(run, inputs=inputs, outputs=outputs,)

if __name__ == "__main__":
    demo.queue().launch(debug=True)