Spaces:
Running
on
A10G
Running
on
A10G
File size: 12,152 Bytes
98322fb 13ed5cd 98322fb e8ccebc 98322fb 13ed5cd 98322fb a5f38fd 98322fb 4bf0d68 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 |
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")
# 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")
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)
|