YouTube · AI Ship
Creator GuideWan 2.7 walkthrough for short-form AI video generation
A straightforward creator-side guide that helps frame Wan 2.7 as an accessible short-video workflow rather than only an API update.
Wan 2.7 AI Video Generator
Generate 15-second AI videos with Wan 2.7 — text-to-video and image-to-video with prompt rewriting and first-frame guidance for controlled motion.
Cost 150 credits
Text-to-Video / Image-to-Video
What is the Wan 2.7 AI Video Generator?
Wan 2.7 is Alibaba's open-weight video model, part of the Wan video family whose architecture is publicly available on GitHub. It supports text-to-video up to 15 seconds at 1080p with prompt rewriting, plus image-to-video with first-frame and continuation workflows. On Epochal, you can generate Wan 2.7 videos online without setting up local inference or managing GPUs.
First-Frame Motion Control
Wan 2.7 preview 1
Model Snapshot
Wan 2.7
- Provider
- Wan
- Supports
- Text to Video / Image to Video
- Duration
- 5s / 10s
- Resolution
- Available in the workbench
- Typical cost
- 60-675 credits
Best For
Wan 2.7 is strongest when you need short controlled clips with clear output settings, prompt refinement, and the option to move between prompt-led and reference-led generation inside one model family.
01
Short prompt-led videos with explicit duration and resolution control
02
Reference-led motion tests built from key frames or product stills
03
Teams comparing portrait, square, and landscape output on the same concept
04
Workflows that benefit from prompt expansion and negative prompt together
Key Capabilities
First-Frame Motion Control
Wan 2.7
01
Wan officially supports both text-to-video and image-to-video
Alibaba Cloud positions Wan as a video family that spans text-to-video and image-to-video rather than a single prompt-only workflow.
02
15-second video with prompt rewriting
Official Wan text-to-video docs highlight support for clips up to 15 seconds, 1080P output, and prompt rewriting to improve short or rough prompts.
03
New wan2.7 image-to-video tasks
The official wan2.7 image-to-video API supports first-frame generation, first-and-last-frame interpolation, and continuation from an existing clip.
04
Compact controls on Epochal
On Epochal, the current page exposes 720p or 1080p output, 5 to 15 second duration, prompt expansion, negative prompt, and up to 2 reference images for image-led runs.
05
Best suited to short clips rather than continuity-heavy long-form storytelling.
06
Results are strongest when the prompt or references already lock the subject and motion direction clearly.
From YouTube
Wan 2.7 YouTube Videos
Creator walkthroughs and comparison videos that are useful for judging Wan 2.7 prompt handling, clip quality, and short-form video usability.
YouTube · Creative AI Show
Model ComparisonWan 2.7 compared with Kling 3.0 and Veo 3.1
Useful when you want a comparison-focused read on how Wan 2.7 stacks up on quality and prompt-led video output.
YouTube · Public Video
ComparisonWan 2.7 compared with Seedance in practical video tests
Helpful when you want one more creator-side comparison of Wan 2.7 against another current short-video model.
From X
Wan 2.7 on X
Public creator and ecosystem references that help explain why Wan 2.7 is being discussed around editability, reference control, and commercial video access.
Example Workflows
Wan 2.7 is strongest when you need short controlled clips with clear output settings, prompt refinement, and the option to move between prompt-led and reference-led generation inside one model family.
- 01
Prompt-led short explainers and concept videos
Use Wan 2.7 when a written idea needs to become a clean short-form motion draft without starting from source footage.
- 02
Reference-led motion from key visuals
Use the image-led workflow when a product still, character image, or storyboard frame should anchor the motion direction.
- 03
Aspect ratio and resolution comparisons
It works well when the same concept needs to be tested across portrait, square, and landscape outputs at 720p and 1080p.
- 04
Prompt refinement workflows
It is useful when prompt expansion and negative prompt should work together to open up or narrow the first video result.
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FAQ
01What does Wan officially support for video generation?
Alibaba Cloud's official Wan docs describe text-to-video with prompt rewriting, up to 15-second output, and 1080P support. The newer wan2.7 image-to-video API adds first-frame generation, first-and-last-frame generation, and continuation from an existing clip.
02What controls does the Wan 2.7 AI video generator expose on Epochal?
On the current page, Wan 2.7 exposes 720p or 1080p output and 5 to 15 second duration for both video workflows. Text-to-video adds aspect ratio, while both workflows expose negative prompt and prompt expansion, and image-to-video supports up to 2 reference images.
03Does this page support both text-to-video and image-to-video?
Yes. The current Wan 2.7 page covers both prompt-led video generation and reference-led video generation inside the same model family.
04How long can Wan 2.7 AI video generator clips be on Epochal?
The current page offers a duration range from 5 to 15 seconds, with 720p or 1080p output. That fits the short-form positioning of the workflow exposed here.
05When should I turn on prompt expansion for the Wan 2.7 AI video generator?
Turn prompt expansion on when the prompt is short, rough, or missing camera and motion detail. It is most useful when you want the model to rewrite a basic idea into a fuller video instruction before rendering.
06Is Wan 2.7 open source?
Wan 2.7 builds on Alibaba's Wan video architecture, which is publicly available as open weights on GitHub. You can run it locally if you have a suitable GPU (40GB+ VRAM for the full model), or generate online on Epochal without any setup.
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