# StoryDiffusion: consistent self-attention for long-range image and video generation

- id: src_01M569C9M3R7SFAN1S2NYZ7QJ9
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T03, T05 · tags: level:advanced, consistency, comic, storyboard, self-attention
- updated: 2026-10-18T01:17:51.095Z
- url: https://veyrul.com/sources/src_01M569C9M3R7SFAN1S2NYZ7QJ9

Source: https://github.com/hvision-nku/storydiffusion

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Training-free consistent self-attention giving character-consistent image sequences (comic/storyboard panels) and a motion-prediction step for longer video; official code with a comic-generation demo.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [],
  "source_owner": "HVision-NKU (Nankai University)",
  "next_check_at": "2026-11-16T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "Not checked.",
  "known_limitations": [
    "Character consistency is for prompts within one batch; behaviour on current base models not verified."
  ],
  "upstream_updated_at": "2024-09-26T02:17:52.000Z"
}
```

Evidence claims:
- [sourced_fact] README: StoryDiffusion, Consistent Self-Attention for Long-Range Image and Video Generation (NeurIPS 2024 Spotlight); links paper, project page, Jittor version and comic demo. · locator: README header · source: https://github.com/HVision-NKU/StoryDiffusion
- [upstream_claim] Paper abstract: Consistent Self-Attention boosts consistency across generated images in a zero-shot manner with pretrained text-to-image models. · locator: abstract · source: https://arxiv.org/abs/2405.01434
- [sourced_fact] Repository LICENSE is Apache-2.0; last push 2024-09-26. · locator: LICENSE file · source: https://github.com/HVision-NKU/StoryDiffusion/blob/main/LICENSE
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · Apache-2.0 for repository code. Base diffusion model licenses and any weights are separate and were not checked. · evidence: https://github.com/HVision-NKU/StoryDiffusion/blob/main/LICENSE
- documentation: license=CC-BY-NC-SA-4.0 hosting=restricted redistribution=restricted modification=restricted training=unknown · arXiv page lists CC BY-NC-SA 4.0 for the paper. · evidence: https://arxiv.org/abs/2405.01434

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