Alibaba launched Wan 3.0 on 24 August 2026 after a public beta since 6 August: 30-second single-pass clips from text, images, audio, video and now documents. Like 2.5, 2.6 and 2.7 before it, it is hosted only. Here is what shipped, what the hosted model does in practice, and what it means for adult creators.

Short answer: Wan 3.0 is a better video model than Wan 2.7 and, for adult work, no easier to use, because like every Wan since 2.2 it is available only through Alibaba’s hosted surfaces (Model Studio, Qwen Cloud, the wan.video site) with Alibaba’s content policy attached. There are no weights, no Hugging Face checkpoint and no local ComfyUI node. “Wan 3.0 NSFW” is therefore the same question as “Wan 2.7 NSFW”: it depends on whether a provider route with adult content enabled exists. We have Wan 3.0 integrated and under evaluation on MyBabes; this page tracks its status.
What Wan 3.0 is
Wan 3.0 is Alibaba Tongyi Lab’s third-generation video model. The spec that matters:
Wan 2.7 | Wan 3.0 | |
|---|---|---|
Distribution | Hosted API (since April 2026) | Hosted API; public beta 6 August, launch 24 August 2026 |
Clip length | 3–15 s | 2–30 s, single pass |
Inputs | Text, image | Text, image, audio, video, documents (PDF, spreadsheets, slides) |
Resolution | 720p / 1080p | 480p / 720p / 1080p |
API pricing (Model Studio) | Lower | $0.05/s at 480p, $0.10/s at 720p, $0.20/s at 1080p |
Content policy | Alibaba’s on its surfaces; provider routes vary | Alibaba’s policy applies |
Open weights | No | No |
Fine-tuning / LoRAs | No | No |
The 30-second single-pass range and the document inputs are the headline changes; Alibaba pitches it as “twice as long as its predecessor”. Under the hood, motion at speed is smoother and long-clip identity retention is improved, which targets the two weaknesses we flagged in the Wan 2.7 analysis.
Why hosted-only matters for adult use
Wan 2.1 and 2.2 shipped weights, and that is what made Wan the default for adult video: any host could run it without a vendor filter, and the community trained act LoRAs on it. Since 2.5 Alibaba has kept the weights, and 3.0 continues that. The consequences:
The filter belongs to Alibaba. DashScope applies prompt and input-image moderation. In practice it behaves like other hosted video APIs: suggestive content passes inconsistently, nudity and explicit acts are refused, and nude reference frames are rejected at upload.
No LoRAs. Nobody can train adapters on a model they cannot download. The niche-act capability that keeps Wan 2.2 alive cannot exist for 3.0 yet.
Policy can change overnight. With weights on disk you are insulated from vendor decisions. With an API you are not.
None of this is a criticism of the model. It is the same situation Seedance, Kling and Wan 2.7 are in, and it is the reason LTX-2.5, released as open weights the same month, matters so much to this niche.
What the hosted model does in practice
The explicit part of the Lab prompt set is refused outright, so the only comparison possible is on the SFW and suggestive side. From working with it there:
Fast motion. Clearly better than 2.7; running, turning and hair in wind no longer smear the way they did.
Long clips. Continuous shots past 20 seconds hold identity in a way 2.7 cannot, in the same league as Seedance 2.5.
Reference fidelity. On par with 2.7, which was already the best in class.
Suggestive prompts. Inconsistent: some generate as written, some come back softened, some are refused. Not something to build a workflow on.
If the weights are released, those quality observations become directly relevant to adult work, and 3.0 would likely displace 2.7 within months, with a LoRA ecosystem following.
Status on MyBabes
We have integrated Wan 3.0 through DashScope and are evaluating it for the SFW and teaser side of the video generator, where the vendor policy is not a constraint. It is not exposed in the public model list yet. Wan 2.7 stays the uncensored default; Wan 2.2 stays available for LoRA mods; Seedance 2.0 and 2.5 cover cinematic and long-form clips. See the current ranking.
Three scenarios for the next six months
Weights released. Unlikely on current form, but if it happens 3.0 becomes the new self-hosted default; we retest and update the ranking within days.
Weights released for a smaller variant only. The small model gets the LoRA ecosystem; the full model stays hosted. Adult work splits between the two.
Hosted-only stays. 3.0 becomes a Seedance-like option: excellent when a host runs it with adult content enabled, useless on official surfaces. Whether any host can obtain that arrangement for Wan is unknown.
We will update this page on any of the three.
Wan 3.0 versus the field
Where the hosted model sits relative to the other video models we track, on the non-explicit prompts that all of them will run:
Wan 2.7 | Wan 3.0 (hosted) | Seedance 2.5 | |
|---|---|---|---|
Max clip | 15 s | 30 s | 30 s |
Max resolution | 1080p | 1080p | 1080p |
Fast motion | Weak | Good | Good |
Long-clip identity | Fades after ~8 s | Holds past 20 s | Holds past 20 s |
Body physics, contact | Best | Good | Good |
Adult content available | Yes, uncensored hosts | No | Yes, uncensored hosts |
Open weights | No | No | No |
On quality alone, 3.0 and Seedance 2.5 are close and both ahead of 2.7 on motion. On access, 2.7 and Seedance 2.5 are usable for adult work today through uncensored routes and 3.0 is not yet.
What to do now if you are building on Wan
Keep 2.7 as the production model on the uncensored route. Nothing about 3.0’s launch changes what 2.7 can do there, and Wan 2.2 stays for LoRA-dependent scenes.
Use 3.0 for the SFW layer if you have DashScope access: teasers, establishing shots, anything that does not trip the filter. The motion improvement is real and visible.
Do not build prompt tricks for the hosted filter. As with Kling and Seedance’s official surfaces, the classifier reads intent and repeated refusals are the only result.
Do not expect weights. Alibaba has not released Wan weights since 2.2 and said nothing about 3.0 weights at launch. Plan around hosted routes, and around LTX-2.5 for self-hosting.
Prompting notes from the hosted model
3.0 follows shot-list prompts well over long durations; describe two or three beats with explicit ordering.
It tolerates faster camera moves than 2.7, but slow still looks better for anything intimate.
Reference fidelity is strong; a clean input frame carries through 20-second clips with little drift.
The 2-second floor is useful for quick motion tests before committing to a long generation.
Related in the Lab
Key takeaways
Wan 3.0 (launched 24 August 2026) is stronger than 2.7 on fast motion and long clips, and hosted only, like every Wan since 2.2.
On DashScope, Alibaba’s policy applies; explicit content is refused and suggestive content is inconsistent.
No weights means no LoRAs and no self-hosting; LTX-2.5 is the open alternative.
Wan 2.7 on an uncensored provider route remains the production choice for adult video.
FAQ
Is Wan 3.0 uncensored?
Not as currently offered. It is a hosted model on Alibaba’s DashScope API with Alibaba’s content moderation. Whether an uncensored version becomes possible depends on weights being released.
Can I self-host Wan 3.0?
No. No weights have been published. Wan 2.2 is the last self-hostable Wan; LTX-2.5 is the stronger open alternative.
Is Wan 3.0 better than Wan 2.7?
On motion and long-clip consistency, yes. For adult work the answer is moot until it can be run without the vendor filter.
Does MyBabes offer Wan 3.0?
It is integrated and under evaluation, not yet in the public model list. Wan 2.7 is the uncensored default.
Last updated: August 2026. Observations are from working with the hosted model, not from a controlled benchmark; we will publish numbers once the model can be run without the vendor filter.
Skip the filter
Run these models with adult content enabled
MyBabes runs Wan 2.7, Seedance 2.0 and Krea inside its own generation stack, so the prompts refused on official apps generate as written. No GPU, no setup.
Open MyBabes

Editorial team
The MyBabes Lab team tests AI image, video and chat models for adult use cases: what they allow, what they block, and how to get the best output. Every note here is based on hands-on runs, not vendor marketing.
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