generated from eliahuhorwitz/Academic-project-page-template
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
624 lines (599 loc) · 36.1 KB
/
index.html
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
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
<!-- Replace the content tag with appropriate information -->
<!-- <meta name="description" content="DESCRIPTION META TAG"> -->
<meta property="og:title"
content="PIXART-α:Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis" />
<!-- <meta property="og:description" content="SOCIAL MEDIA DESCRIPTION TAG TAG" /> -->
<meta property="og:url" content="https://pixart-alpha.github.io/" />
<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X630-->
<meta property="og:image" content="static/images/banner.png" />
<meta property="og:image:width" content="1200" />
<meta property="og:image:height" content="630" />
<!-- <meta name="twitter:title" content="TWITTER BANNER TITLE META TAG">
<meta name="twitter:description" content="TWITTER BANNER DESCRIPTION META TAG"> -->
<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X600-->
<!-- <meta name="twitter:image" content="static/images/your_twitter_banner_image.png"> -->
<!-- <meta name="twitter:card" content="summary_large_image"> -->
<!-- Keywords for your paper to be indexed by-->
<!-- <meta name="keywords" content="KEYWORDS SHOULD BE PLACED HERE"> -->
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>PIXART-α</title>
<link rel="icon" type="image/x-icon" href="static/images/favicon.ico">
<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro" rel="stylesheet">
<link rel="stylesheet" href="static/css/bulma.min.css">
<link rel="stylesheet" href="static/css/bulma-carousel.min.css">
<link rel="stylesheet" href="static/css/fontawesome.all.min.css">
<link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
<link rel="stylesheet" href="static/css/index.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script src="https://documentcloud.adobe.com/view-sdk/main.js"></script>
<script defer src="static/js/fontawesome.all.min.js"></script>
<script src="static/js/bulma-carousel.min.js"></script>
<script src="static/js/index.js"></script>
<script async src="//busuanzi.ibruce.info/busuanzi/2.3/busuanzi.pure.mini.js"></script>
<script type="module" src="https://gradio.s3-us-west-2.amazonaws.com/4.1.1/gradio.js"></script>
</head>
<body>
<section class="hero banner">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title"><i class="pixart-alpha-icon"></i>PIXART-α:<br />
Fast Training of Diffusion
Transformer for Photorealistic Text-to-Image Synthesis</h1>
<h1 class="title is-4 publication-title">
ICLR 2024 Spotlight</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<a href="https://lawrence-cj.github.io/" target="_blank">Junsong
Chen</a><sup>1,2,3,*</sup>,</span>
<span class="author-block">
<a href="https://lovesykun.cn/about.html" target="_blank">Jincheng
Yu</a><sup>1,4,*</sup>,</span>
<span class="author-block">
<a href="https://chongjiange.github.io" target="_blank">Chongjian
Ge</a><sup>1,3,*</sup>,</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=hqDyTg8AAAAJ" target="_blank">Lewei
Yao</a><sup>1,4,*</sup>,
</span>
<span class="author-block">
<a href="https://xieenze.github.io/" target="_blank">Enze Xie</a><sup>1,‡</sup>,
</span>
<span class="author-block">
<a href="https://yuewuhkust.github.io/" target="_blank">Yue Wu</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://zhongdao.github.io/" target="_blank">Zhongdao Wang</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://www.cse.ust.hk/~jamesk/" target="_blank">James Kwok</a><sup>4</sup>,
</span>
<span class="author-block">
<a href="http://luoping.me/" target="_blank">Ping Luo</a><sup>3</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?hl=en&user=D3nE0agAAAAJ"
target="_blank">Huchuan Lu</a><sup>2</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=XboZC1AAAAAJ" target="_blank">Zhenguo
Li</a><sup>1</sup>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>Huawei Noah's Ark Lab,</span>
<span class="author-block"><sup>2</sup>Dalian University of Technology,</span>
<span class="author-block"><sup>3</sup>The University of Hong Kong,</span>
<span class="author-block"><sup>4</sup>The Hong Kong University of Science and
Technology</span>
<span class="eql-cntrb"><small><br><sup>*</sup>Equal contribution. Work done during the
internships of the four students at Huawei Noah's Ark Lab.</small></span>
<span class="eql-cntrb"><small><br><sup>‡</sup><a
</div>
<div class="column has-text-centered">
<div class="publication-links">
<span class="link-block">
<a href="https://github.com/PixArt-alpha/PixArt-alpha" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
<span class="link-block">
<span class="link-block">
<a href="https://huggingface.co/datasets/PixArt-alpha/SAM-LLaVA-Captions10M" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">🤗</span>
<span>SAM-LLaVA-Captions</span>
</a>
</span>
<span class="link-block">
<a href="https://huggingface.co/docs/diffusers/main/en/api/pipelines/pixart" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">🧨</span>
<span>Diffusers</span>
</a>
</span>
<span class="link-block">
<a href="https://arxiv.org/abs/2310.00426" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv-PixArt-α</span>
</a>
</span>
<span class="link-block">
<a href="https://arxiv.org/abs/2401.05252" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv-PixArt-δ</span>
</a>
</span>
<span class="link-block">
<a href="https://discord.gg/rde6eaE5Ta" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">
<i class="fab fa-discord"></i>
</span>
<span>Discord</span>
</a>
</span>
</div>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<span class="link-block">
<a href="https://huggingface.co/spaces/PixArt-alpha/PixArt-alpha" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">🤗</span>
<span>HF Demo: PixArt-α</span>
</a>
</span>
<span class="link-block">
<a href="https://huggingface.co/spaces/PixArt-alpha/PixArt-LCM" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">🤗</span>
<span>HF Demo: PixArt-LCM</span>
</a>
</span>
<span class="link-block">
<a href="https://openxlab.org.cn/apps/detail/PixArt-alpha/PixArt-alpha" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">X</span>
<span>OpenXLab Demo: PixArt-α</span>
</a>
</span>
<span class="link-block">
<a href="https://openxlab.org.cn/apps/detail/houshaowei/PixArt-LCM" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">X</span>
<span>OpenXLab Demo: PixArt-LCM</span>
</a>
</span>
<span class="link-block">
<a href="https://colab.research.google.com/drive/1jZ5UZXk7tcpTfVwnX33dDuefNMcnW9ME?usp=sharing" target="_blank"
class="external-link button is-normal is-rounded is-white">
<span class="icon">
<i class="fab fa-google"></i>
</span>
<span>Colab Demo</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Image carousel -->
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<div id="results-carousel" class="carousel results-carousel">
<div class="card">
<div class="card-image">
<img src="static/images/carousel/carousel1.png" alt="carousel1" />
</div>
<div class="card-content has-text-centered">A small cactus with a happy face in the Sahara
desert.</div>
</div>
<div class="card">
<div class="card-image">
<img src="static/images/carousel/carousel2.png" alt="carousel2" />
</div>
<div class="card-content has-text-centered">A alpaca made of colorful building blocks,
cyberpunk.</div>
</div>
<div class="card">
<div class="card-image">
<img src="static/images/carousel/carousel3.png" alt="carousel3" />
</div>
<div class="card-content has-text-centered">Real beautiful woman.</div>
</div>
<div class="card">
<div class="card-image">
<img src="static/images/carousel/carousel4.png" alt="carousel4" />
</div>
<div class="card-content has-text-centered">Luffy from ONEPIECE, handsome face, fantasy.</div>
</div>
<div class="card">
<div class="card-image">
<img src="static/images/carousel/carousel5.png" alt="carousel5" />
</div>
<div class="card-content has-text-centered">Poster of a mechanical cat, techical Schematics
viewed from front.</div>
</div>
<div class="card">
<div class="card-image">
<img src="static/images/carousel/carousel6.png" alt="carousel6" />
</div>
<div class="card-content has-text-centered">Nature vs human nature, surreal, UHD, 8k, hyper
details, rich colors, photograph.</div>
</div>
<div class="card">
<div class="card-image">
<img src="static/images/carousel/carousel7.png" alt="carousel7" />
</div>
<div class="card-content has-text-centered">artistic</div>
</div>
<div class="card">
<div class="card-image">
<img src="static/images/carousel/carousel8.png" alt="carousel8" />
</div>
<div class="card-content has-text-centered">Bright scene, aerial view,ancient city, fantasy,
gorgeous light, mirror reflection, high detail, wide angle lens.</div>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- Paper abstract -->
<section class="section hero is-light">
<div class="container is-max-desktop">
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
The most advanced text-to-image (T2I) models require significant training costs (e.g.,
millions of GPU hours), seriously hindering the fundamental innovation for the AIGC
community while increasing CO<sub>2</sub> emissions. This paper introduces PIXART-α, a
Transformer-based T2I diffusion model whose image generation quality is competitive with
state-of-the-art image generators (e.g., Imagen, SDXL, and even Midjourney), reaching
near-commercial application standards. Additionally, it supports high-resolution image
synthesis up to 1024px resolution with low training cost, as shown in Figure 1 and 2. To
achieve this goal, three core designs are proposed: (1) Training strategy decomposition: We
devise three distinct training steps that separately optimize pixel dependency, text-image
alignment, and image aesthetic quality; (2) Efficient T2I Transformer: We incorporate
cross-attention modules into Diffusion Transformer (DiT) to inject text conditions and
streamline the computation-intensive class-condition branch; (3) High-informative data: We
emphasize the significance of concept density in text-image pairs and leverage a large
Vision-Language model to auto-label dense pseudo-captions to assist text-image alignment
learning. As a result, PIXART-α's training speed markedly surpasses existing
large-scale T2I models, e.g., PIXART-α only takes 10.8% of Stable Diffusion v1.5's
training time (~675 vs. ~6,250 A100 GPU days), saving nearly $300,000 ($26,000 vs. $320,000)
and reducing 90% CO<sub>2</sub> emissions. Moreover, compared with a larger SOTA model,
RAPHAEL, our
training cost is merely 1%. Extensive experiments demonstrate that PIXART-α excels in
image quality, artistry, and semantic control. We hope PIXART-α will provide new
insights to the AIGC community and startups to accelerate building their own high-quality
yet low-cost generative models from scratch.
</p>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<section class="hero is-small">
<div class="hero-body">
<div class="container is-centered has-text-centered">
<h2 class="title is-3">Online Demo</h2>
<gradio-app src="https://pixart-alpha-pixart-alpha.hf.space" style="display: flex; justify-content: center;"></gradio-app>
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container is-max-desktop">
<h2 class="title is-3">Training Efficiency</h2>
<p>Comparisons of CO<sub>2</sub> emissions and training cost among T2I generators. PIXART-α
achieves an exceptionally low training cost of $26,000. Compared to RAPHAEL, our CO<sub>2</sub>
emissions
and training costs are merely 1.1% and 0.85%, respectively.
</p>
<img loading="lazy" src="static/images/efficiency.svg" alt="efficiency" />
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container is-max-desktop">
<h2 class="title is-3">ControlNet</h2>
<h2>ControlNet customization samples from PIXART-α. We use the reference images to
generate the corresponding HED edge images and use them as the control signal for PIXART-α
ControlNet.
</h2>
<img loading="lazy" src="static/images/controlnet/controlnet_huawei.svg" alt="huawei" />
<img loading="lazy" src="static/images/controlnet/controlnet_lenna.svg" alt="lenna" />
<!-- <img loading="lazy" src="static/images/controlnet/controlnet_iclr.svg" alt="iclr" /> -->
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container is-max-desktop">
<h2 class="title is-3">Dreambooth</h2>
<h2>PIXART-α can be combined with Dreambooth. Given a few images and text prompts,
PIXART-α can generate high-fidelity images, that exhibit natural interactions with the
environment, precise modification of the object colors, demonstrating that PIXART-α can
generate images with exceptional quality, and has a strong capability in customized extension.
</h2>
<img loading="lazy" src="static/images/dreambooth/dreambooth_dog.svg" alt="dog" />
<img loading="lazy" src="static/images/dreambooth/dreambooth_m5.svg" alt="Wenjie M5" />
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container is-max-desktop">
<h2 class="title is-3">More Samples</h2>
<div class="columns is-centered has-text-centered">
<div class="column">
<div id="modal-sample1" class="modal">
<div class="modal-background"></div>
<div class="modal-card">
<img loading="lazy" src="static/images/samples/1.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample1">
<img loading="lazy" src="static/images/samples/1.png" alt="sample1" />
</div>
<div class="card-content">8k uhd A man looks up at the starry sky, lonely and ethereal,
Minimalism, Chaotic
composition Op Art</div>
</div>
</div>
<div class="column">
<div id="modal-sample2" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/2.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample2">
<img loading="lazy" src="static/images/samples/2.png" alt="sample2">
</div>
<div class="card-content">A baby painter trying to draw very simple picture, white
background</div>
</div>
</div>
</div>
<div class="columns is-centered has-text-centered">
<div class="column">
<div id="modal-sample3" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/3.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample3">
<img loading="lazy" src="static/images/samples/3.png" alt="sample3" />
</div>
<div class="card-content">A dog that has been meditating all the time</div>
</div>
</div>
<div class="column">
<div id="modal-sample4" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/4.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample4">
<img loading="lazy" src="static/images/samples/4.png" alt="sample4">
</div>
<div class="card-content">A snowy mountain</div>
</div>
</div>
</div>
<div class="columns is-centered has-text-centered">
<div class="column">
<div id="modal-sample5" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/5.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample5">
<img loading="lazy" src="static/images/samples/5.png" alt="sample5" />
</div>
<div class="card-content">A worker that looks like a mixture of cow and horse is working
hard to type code</div>
</div>
</div>
<div class="column">
<div id="modal-sample6" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/6.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample6">
<img loading="lazy" src="static/images/samples/6.png" alt="sample6">
</div>
<div class="card-content">Half human, half robot, repaired human</div>
</div>
</div>
</div>
<div class="columns is-centered has-text-centered">
<div class="column">
<div id="modal-sample7" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/7.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample7">
<img loading="lazy" src="static/images/samples/7.png" alt="sample7" />
</div>
<div class="card-content">knolling of a drawing tools for painter</div>
</div>
</div>
<div class="column">
<div id="modal-sample8" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/8.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample8">
<img loading="lazy" src="static/images/samples/8.png" alt="sample8">
</div>
<div class="card-content">Van Gogh painting of a teacup on the desk</div>
</div>
</div>
</div>
<div class="columns is-centered has-text-centered">
<div class="column">
<div id="modal-sample9" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/9.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample9">
<img loading="lazy" src="static/images/samples/9.png" alt="sample9" />
</div>
<div class="card-content">Chinese painting of grapes</div>
</div>
</div>
<div class="column">
<div id="modal-sample10" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/10.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample10">
<img loading="lazy" src="static/images/samples/10.png" alt="sample10">
</div>
<div class="card-content">Stars, water, brilliantly, gorgeous large scale scene</div>
</div>
</div>
</div>
<div class="columns is-centered has-text-centered">
<div class="column">
<div id="modal-sample11" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/11.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample11">
<img loading="lazy" src="static/images/samples/11.png" alt="sample11" />
</div>
<div class="card-content">
A sureal parallel world where mankind avoid extinction
</div>
</div>
</div>
<div class="column">
<div id="modal-sample12" class="modal">
<div class="modal-background"></div>
<div class="modal-content">
<img loading="lazy" src="static/images/samples/12.png" />
</div>
<button class="modal-close is-large" aria-label="close"></button>
</div>
<div class="card">
<div class="card-image js-modal-trigger" data-target="modal-sample12">
<img loading="lazy" src="static/images/samples/12.png" alt="sample12">
</div>
<div class="card-content">
Pirate ship trapped in a cosmic maelstrom nebula
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!--BibTex citation -->
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@misc{chen2023pixartalpha,
title={PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis},
author={Junsong Chen and Jincheng Yu and Chongjian Ge and Lewei Yao and Enze Xie and Yue Wu and Zhongdao Wang and James Kwok and Ping Luo and Huchuan Lu and Zhenguo Li},
year={2023},
eprint={2310.00426},
archivePrefix={arXiv},
primaryClass={cs.CV}
}</code></pre>
</div>
</section>
<!--End BibTex citation -->
<footer class="footer">
<div class="container">
<div class="columns is-centered">
<div class="column is-8">
<div class="content">
<p>
This page was built using the <a
href="https://github.com/eliahuhorwitz/Academic-project-page-template"
target="_blank">Academic Project Page Template</a> which was adopted from the <a
href="https://nerfies.github.io" target="_blank">Nerfies</a> project page.
You are free to borrow the of this website, we just ask that you link back to this page in
the footer. <br> This website is licensed under a <a rel="license"
href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank">Creative
Commons Attribution-ShareAlike 4.0 International License</a>.
</p>
<p class="has-text-centered">Total clicks: <span id="busuanzi_value_site_pv"></span></p>
</div>
</div>
</div>
</div>
</footer>
<!-- Statcounter tracking code -->
<!-- You can add a tracker to track page visits by creating an account at statcounter.com -->
<!-- End of Statcounter Code -->
</body>
</html>