{
  "user": {
    "created_at": "2011-12-20T03:45:50.000Z",
    "default_profile_image": false,
    "description": "PhD at 19 |\nFounder and CEO at @MedARC_AI |\nResearch Director at @StabilityAI | \n@kaggle Notebooks GM |\nBiomed. engineer @ 14 |\nTEDx talk➡https://t.co/DwMkst4bnG",
    "fast_followers_count": 0,
    "favourites_count": 59837,
    "followers_count": 44964,
    "friends_count": 994,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 691,
    "location": "",
    "media_count": 1186,
    "name": "Tanishq Mathew Abraham, PhD",
    "normal_followers_count": 44964,
    "possibly_sensitive": false,
    "profile_banner_url": "https://pbs.twimg.com/profile_banners/441465751/1675968078",
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1553508977735962624/nnlSwBmu_normal.jpg",
    "screen_name": "iScienceLuvr",
    "statuses_count": 12033,
    "translator_type": "none",
    "url": "https://t.co/nNzCz2VVd1",
    "verified": false,
    "withheld_in_countries": [],
    "id_str": "441465751"
  },
  "id": "1709033977947033856",
  "conversation_id": "1709033977947033856",
  "full_text": "PIXART-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis\n\nwebsite: https://t.co/tSb1PkV2k0\nabs: https://t.co/mP8P7LUHz6\n\nA transformer-based T2I diffusion model that only takes 10.8% of SD v1.5's training time while competitive with SOTA results. Training is divided into three phases: (1) learning the pixel distribution of natural images, (2) learning text-image alignment, and (3) enhancing the aesthetic quality of images. A modified DiT architecture is used.",
  "reply_count": 1,
  "retweet_count": 14,
  "favorite_count": 92,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [],
  "urls": [
    {
      "url": "https://t.co/FZwLFgvH5C",
      "expanded_url": "https://pixart-alpha.github.io/",
      "display_url": "pixart-alpha.github.io"
    },
    {
      "url": "https://t.co/Q9WMOe7HrU",
      "expanded_url": "https://arxiv.org/abs/2310.00426",
      "display_url": "arxiv.org/abs/2310.00426"
    }
  ],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/F7e0Rc5bkAAqiKS.jpg",
      "type": "photo"
    },
    {
      "media_url": "https://pbs.twimg.com/media/F7e0hiMbwAAtpq3.png",
      "type": "photo"
    },
    {
      "media_url": "https://pbs.twimg.com/media/F7e0k-Fb0AAG-pc.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/iScienceLuvr/status/1709033977947033856",
  "created_at": "2023-10-03T02:33:47.000Z",
  "#sort_index": "1709033977947033856",
  "view_count": 10943,
  "quote_count": 0,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": true,
  "startUrl": "https://twitter.com/iscienceluvr/status/1709033977947033856"
}