{
  "$type": "site.standard.document",
  "bskyPostRef": {
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    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mk65r7aziac2"
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  "path": "/t/gpt-image-2-seedance-2-0-pipeline-whats-your-experience-with-the-storyboard-grid-approach/175483#post_1",
  "publishedAt": "2026-04-23T13:05:15.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "EvoLinkAI/awesome-gpt-image-2-prompts"
  ],
  "textContent": "Been using a two-stage workflow for AI video production that’s been consistently more reliable than text-to-video:\n\n  1. Generate a 3×3 storyboard grid with GPT Image 2 (each panel = one shot)\n  2. Use that grid as the starting frame for Seedance 2.0 with a shot-by-shot motion prompt\n\n\n\nThe main advantages over direct text-to-video:\n\n  * Pacing is controlled before you touch the video model\n  * Character consistency is much stronger (all shots generated in one unified image)\n  * Seedance 2.0 interprets the storyboard as a multi-shot sequence rather than a single drifting clip\n\n\n\nFor anime-style content, the same principle applies with character sheets and comic pages as the input.\n\nThe key insight: final video quality depends heavily on input image quality. GPT Image 2 is very good at producing structured visual assets that work well as video inputs.\n\nPrompt library for storyboard grids, character sheets, and more: **EvoLinkAI/awesome-gpt-image-2-prompts**\n\nHas anyone tried variations on this? Curious whether 4×4 grids work better for longer pieces, and how you’re handling the motion prompt structure for complex sequences.",
  "title": "GPT Image 2 + Seedance 2.0 pipeline — what's your experience with the storyboard grid approach?"
}