๐Ÿฆ Wan 2.7

Alibaba Tongyi Lab's open-weight video suite, the control-freak's and self-hoster's choice. T2V, I2V, R2V, and instruction-based editing share one 27B Mixture-of-Experts backbone, with first/last-frame control, multi-reference inputs, and native audio. Because the weights are open, the Wan family is the basis for uncensored community workflows.

Developer: Alibaba Tongyi Lab T2V I2V R2V Video edit Open weights (Apache 2.0) Wan 2.7 Uncensored on Venice

The lineup

ModelJob
Wan2.7-t2vText-to-video with "Thinking Mode" prompt planning.
Wan2.7-i2vImage-to-video; first-frame, first+last-frame, audio-driven.
Wan2.7-r2vReference-to-video: up to 5 real-person image inputs + vocal-timbre reference, multi-character.
Wan2.7-videoeditInstruction-based editing & style transfer on existing clips.

Specs at a glance

Architecture
27B MoE (~14B active)
Resolution
720p / 1080p
Duration
2โ€“15 s
References
up to 5 people
Native audio
Yes + voice clone
License
Apache 2.0 (open)

Open weights = total control

The video, image, I2V, image-edit, and video-edit checkpoints are downloadable (HuggingFace Wan-AI, ModelScope) and run in ComfyUI. Inference code is on GitHub; training code/data are not released.

GPUT2V / I2V
RTX 4090 (24GB)Yes, ~3โ€“5 min/clip
RTX 5090 (32GB)Yes, faster (~2โ€“4 min)
RTX 4070 (12GB)GGUF quant only
A100 (80GB)Yes, fast

Per Alibaba's pattern, open weights for a .7 release land 4โ€“8 weeks after cloud launch. Until then, use cloud APIs (DashScope, WaveSpeed, Together, fal). For a no-hardware uncensored route today, Venice hosts a filter-free build as Wan 2.7 Uncensored (below).

Wan 2.7 Uncensored

Base Wan ships with safety filters. The open weights let those filters come off. Two practical routes:

1. Wan 2.7 Uncensored (hosted on Venice)

Venice hosts a filter-free build as Wan 2.7 Uncensored. It's tuned for anatomical accuracy, skin texture and lighting, and natural intimate motion. No GPU, no setup, no LoRA wrangling. Use it through your Venice API key like any other model.

2. Local ComfyUI + NSFW LoRAs

Run Wan open weights locally and stack community NSFW LoRAs (e.g. all-in-one "rapid" merges with an optional unlocker LoRA, disabled by default). This gives maximum privacy and control. Nothing leaves your machine. The cost is setup and a capable GPU.

For most people the hosted Wan 2.7 Uncensored on Venice is the fastest path. Self-host only when full privacy or custom LoRAs matter.

What Wan 2.7 is best for

Self-host
Privacy & zero content limits. Run locally, keep everything offline, apply any LoRA. The only fully-private option in this wiki.
R2V
Multi-character + voice. Up to 5 real-person refs with vocal-timbre cloning for consistent talking characters.
Edit
Instruction-based changes. "Change the lighting to sunset," "add a helmet." Preserves motion and structure.

Optimal prompt pattern

Same director formula as the rest. Wan adds Thinking Mode (chain-of-thought planning of composition, placement, lighting before generation). Give it spatial detail to chew on, and it returns coherent multi-object scenes. Negative prompts are supported.

A lone hiker crests a ridge at dawn. Camera cranes up and orbits slowly to reveal a vast fog-filled valley below. Wind tugs at her jacket; loose strands of hair lift and settle. Cold blue-hour light warming to gold on the peaks. Crisp wind ambience. Negative: warped hands, extra limbs, flicker.

For mature content via Wan 2.7 Uncensored or local LoRAs, the tasteful technique that improves realism (soft directional lighting, slow deliberate motion, anatomy-aware phrasing, high-quality reference images) is covered in the NSFW best practices guide.

Content & licensing