adding initial demo

app.py

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+"""
+3.43.1
+"""
+
+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)
+        return ones
+    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
+      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")
+     # 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=None, value="", show_label=False)
+            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 r: ", 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")
+    
+    eraser.change(fn=lambda x: gr.update(value=not x), inputs=[eraser], outputs=[line], queue=False, api_name=False).then(update_canvas, [line, eraser], [image])
+    line.change(fn=lambda x: gr.update(value=not x), inputs=[line], outputs=[eraser], queue=False, api_name=False).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, queue=False, api_name=False)
+    inputs = [image, prompt, prompt_temp, style, seed, val_r]
+    outputs = [result, download_sketch, download_output]
+    prompt.submit(fn=run, inputs=inputs, outputs=outputs, api_name=False)
+    style.change(lambda x: styles[x], inputs=[style], outputs=[prompt_temp], queue=False, api_name=False).then(
+        fn=run, inputs=inputs, outputs=outputs, api_name=False,)
+    val_r.change(run, inputs=inputs, outputs=outputs, queue=False, api_name=False)
+    run_button.click(fn=run, inputs=inputs, outputs=outputs, api_name=False )
+    image.change(run, inputs=inputs, outputs=outputs, queue=False, api_name=False)
+
+if __name__ == "__main__":
+    demo.queue().launch(debug=True, share=True)
+

requirements.txt

@@ -0,0 +1,28 @@
+clip @ git+https://github.com/openai/CLIP.git
+einops>=0.6.1
+numpy>=1.24.4
+open-clip-torch>=2.20.0
+opencv-python==4.6.0.66
+pillow>=9.5.0
+scipy==1.11.1
+timm>=0.9.2
+tokenizers==0.12.1
+torch>=2.0.1
+
+torchaudio>=2.0.2
+torchdata==0.6.1
+torchmetrics>=1.0.1
+torchvision>=0.15.2
+
+tqdm>=4.65.0
+transformers==4.35.2
+triton==2.0.0
+urllib3<1.27,>=1.25.4
+xformers>=0.0.20
+streamlit-keyup==0.2.0
+lpips
+clean-fid
+peft
+dominate
+diffusers==0.25.1
+gradio==3.43.1