🐦 Twitter Post Details

Viewing enriched Twitter post

@jadechoghari

🚀 HART by @MIT : Hybrid Autoregressive Transformer! It directly generates stunning 1024x1024 images with blazing efficiency, this hybrid approach outshines diffusion models in quality & speed. Also uses Qwen2-VL-1.5B-Instruct 🔥 The image generation speed is super fast, try out the demo! https://t.co/d3hJBs7vGa #AI #ML #CV

Media 1

📊 Media Metadata

{
  "score": 0.86,
  "scored_at": "2025-08-09T13:46:07.549298",
  "import_source": "network_archive_import",
  "links_checked": true,
  "checked_at": "2025-08-10T10:32:41.828816",
  "media": [
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1854377125974876555/media_0.jpg?",
      "filename": "media_0.jpg"
    },
    {
      "id": "",
      "type": "photo",
      "url": null,
      "media_url": "https://pbs.twimg.com/media/GbwQR_5WwAAkAI2.jpg",
      "media_url_https": null,
      "display_url": null,
      "expanded_url": null
    }
  ],
  "reprocessed_at": "2025-08-12T15:25:11.484537",
  "reprocessed_reason": "missing_media_array",
  "original_structure": "had_both"
}

🔧 Raw API Response

{
  "user": {
    "created_at": "2015-05-24T10:18:08.000Z",
    "default_profile_image": false,
    "description": "mle fellow @huggingface 🤗 - @uwaterloo 🇨🇦 - follow me for more models!",
    "fast_followers_count": 0,
    "favourites_count": 2253,
    "followers_count": 2214,
    "friends_count": 116,
    "has_custom_timelines": false,
    "is_translator": false,
    "listed_count": 5,
    "location": "SF/Waterloo",
    "media_count": 32,
    "name": "Jade Choghari",
    "normal_followers_count": 2214,
    "possibly_sensitive": false,
    "profile_banner_url": "https://pbs.twimg.com/profile_banners/3225119671/1721639541",
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1819969966306639872/bXC0euBo_normal.jpg",
    "screen_name": "jadechoghari",
    "statuses_count": 205,
    "translator_type": "none",
    "verified": true,
    "withheld_in_countries": [],
    "id_str": "3225119671"
  },
  "id": "1854377125974876555",
  "conversation_id": "1854377125974876555",
  "full_text": "🚀 HART by @MIT : Hybrid Autoregressive Transformer!\nIt directly generates stunning 1024x1024 images with blazing efficiency, this hybrid approach outshines diffusion models in quality & speed. Also uses Qwen2-VL-1.5B-Instruct 🔥\n\nThe image generation speed is super fast, try out the demo! https://t.co/d3hJBs7vGa\n\n#AI #ML #CV",
  "reply_count": 5,
  "retweet_count": 39,
  "favorite_count": 146,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [
    {
      "id_str": "15460048",
      "name": "Massachusetts Institute of Technology (MIT)",
      "screen_name": "MIT",
      "profile": "https://twitter.com/MIT"
    }
  ],
  "urls": [],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/GbwQR_5WwAAkAI2.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/jadechoghari/status/1854377125974876555",
  "created_at": "2024-11-07T04:15:34.000Z",
  "#sort_index": "1854377125974876555",
  "view_count": 20559,
  "quote_count": 1,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": true,
  "startUrl": "https://x.com/jadechoghari/status/1854377125974876555"
}