Wan 3.0 AI – multimodal video generation
Wan 3.0 is the latest version of the Wan video model family, capable of generating videos up to 30 seconds in a single pass. It accepts text, images, audio, video, and various document formats such as doc, pdf, ppt, and spreadsheets to guide content creation. The system emphasizes omni‑reference consistency, realistic facial detail, and is positioned for use in film, advertising, design, and other creative production pipelines.
- ▪Wan 3.0 can produce a continuous 30‑second video without cuts, allowing more complete storytelling.
- ▪The model reads multiple input types, including doc, xls, ppt, pdf, txt, key, pages, numbers, and md files up to 100 MB and 50 pages.
- ▪Omni‑reference ensures consistent character features, props, and camera angles across generated frames.
- ▪Realism improvements target sharper facial features, natural micro‑expressions, and accurate crowd dynamics.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,235 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Wan 3.0 |
| Canonical URL | https://wan3.io/wan-3-0 |
| Publication time | Mon, 10 Aug 2026 07:57:55 +0000 |
| Retrieval time | 2026-08-10T08:10:44.976Z |
| Last seen | 2026-08-10T08:10:44.976Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | tPXaA-MnC-DP · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Text to VideoWan 3.0NEWWan 3.0 all-in-one video generation with text, first/last frames, images, videos, and audio references, up to 30 seconds.Prompt *0/20000Auto5s720PHistoryView historySign in to save generationsYour results, prompts, and task status will appear here while the generator works.Wan 3.0 AI Video GeneratorWan 3.0 upgrades duration, universal creation, omni-reference, and realism at the same time. One generation now runs up to 30 seconds, long enough to carry a complete creative intent from the first frame to the last.Showing video 1 of 4: A single 30-second take that carries one character through a surreal journey — a bed adrift in the clouds, a billboard that comes alive — with no cut in between.How Wan 3.0 AI Turns Anything Into VideoWan 3.0 reads text, images, audio,…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Wan 3.0.
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