Animate a start image into video. Add an optional end frame when you want a more controlled transition.
Upload image
JPG, PNG, BMP, WEBP up to 20MB
Upload image
JPG, PNG, BMP, WEBP up to 20MB
Extreme Close-Up Portrait
Extreme close-up portrait in golden hour rim light, hair drifting in slow motion.
Create Wan 2.7 Video clips from prompts, images, references, and existing videos with one production-ready generator.
Wan 2.7 Video is built for creators who want more than a simple prompt box. It supports text-to-video, image-to-video, reference-to-video, and video edit workflows in one place.
Recent YouTube discussions around Wan 2.7 focus on value, text-to-video comparisons, video with sound, and editing workflows that feel closer to directing a clip. This page is shaped around those search intents while the final article copy is still being expanded.
Wan 2.7 Video starts at 20 credits for a 2-second 720p generation and scales by duration, resolution, and mode.
Wan 2.7 Video is Alibaba's video generation and editing model for creators who need flexible control over inputs. It can generate from text, animate images, follow visual references, and transform an existing source video.
Compared with a single-mode AI video tool, Wan 2.7 Video is better framed as a creative routing layer: use simple prompts for ideation, start frames for controlled animation, references for consistency, and video edit for iteration.
Four workflows cover quick generation, guided animation, reference consistency, and source-video editing.
Wan 2.7 Video turns prompts into cinematic clips with controllable duration, resolution, aspect ratio, and optional background audio.
Best for fast concept shots, social clips, and ad variations.
Wan 2.7 image to video animates still images and can use an optional last frame for more directed motion.
Use it for product reveals, portraits, posters, and controlled scene transitions.
Wan 2.7 Video supports reference-to-video workflows with images, videos, and matched audio references for consistency.
This is the mode to use when consistency matters more than a one-off prompt.
Wan 2.7 video edit lets creators direct an existing clip into a new style, scene, or visual treatment.
Use video edit when you want iteration to feel closer to directing than regenerating from scratch.
Explore real Wan 2.7 text-to-video, video-edit, and reference-to-video examples with their prompts and generation parameters.
Extreme close-up portrait, woman's face in profile against golden hour sun, shot with 85mm f/1.2. Sun positioned directly behind her head creating a blazing rim light halo. Individual strands of hair catch the light and glow translucent amber. A gentle breeze causes hair to drift across her cheek in slow motion. Skin subsurface scattering visible on ear and nose tip. Dust particles float through the backlit air. Hyper-realistic, 120fps slow motion playback at 24fps, anamorphic 2.39:1.
Change the motorcycle's color to blue.
Input video 1
The characters in Video 1 and Video 2 are sitting in front of the TV and playing video games together.
Input video 1
Input video 2
4 generation modes
20+ credits per video
720p and 1080p
Optional audio inputs
Generate fast hooks, product moments, and platform-specific ratios for social video.
Move from written scenes to visual motion tests before committing to production.
Use images and videos as references when a prompt alone is not enough.
Transform a source clip into a new style while keeping the workflow inside the browser.
Create multiple durations and resolutions with clear credit costs before each run.
Attach short audio references for voice, ambience, or motion timing when the mode supports it.
Wan 2.7 Video is Alibaba's AI video model for text-to-video, image-to-video, reference-to-video, and video-edit workflows. On Flux Context it runs through APiXO's task API with credit-based billing.
Wan 2.7 Video is billed per second. Text-to-video and image-to-video cost 10 credits per second at 720p and 15 credits per second at 1080p. Reference mode costs 15 or 24 credits per second depending on resolution. Video edit uses input plus output duration for billing.
The generator supports text-to-video, image-to-video, reference-to-video, and video-edit. Reference mode accepts images, videos, and optional matched audio references. Video edit accepts one source video and optional image references.
Wan 2.7 expands the workflow surface beyond standard text and image generation by adding stronger reference workflows and video editing. Wan 2.6 remains a premium 15-second generation option, while Wan 2.5 is still useful for lower-cost text and image video testing.
Yes. Wan 2.7 Video supports optional audio inputs for text-to-video and image-to-video, matched reference audio in reference-to-video, and audio settings for video-edit workflows.
Wan 2.7 Video supports 720p and 1080p output. Text-to-video, reference-to-video, and video-edit support 16:9, 9:16, 1:1, 4:3, and 3:4 ratios. Image-to-video follows the source frame instead of using a ratio setting.
Use Wan 2.7 Video for prompt generation, image animation, reference-guided clips, and source-video editing.