{"id":2405,"date":"2026-06-08T09:00:00","date_gmt":"2026-06-08T09:00:00","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=2405"},"modified":"2026-06-03T01:07:46","modified_gmt":"2026-06-03T01:07:46","slug":"wan-2-7-video-5-video-prompt-tests","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/wan-2-7-video-5-video-prompt-tests\/","title":{"rendered":"WAN 2.7 Video: 5 Video Prompt Tests"},"content":{"rendered":"<p>WAN 2.7 video starts to stand out when a short clip needs stable motion, readable camera direction, and clean image to video animation from one still frame.<\/p>\n<h2>Model link<\/h2>\n<p><a href=\"https:\/\/wiro.ai\/models\/alibaba\/wan-2-7\">alibaba\/wan-2-7 on Wiro<\/a><\/p>\n<h2>What WAN 2.7 does<\/h2>\n<p>WAN 2.7 generates short videos from a text prompt, and it can also animate a still image into video. Below are 5 real runs (four text-to-video, one image-to-video) uploaded as MP4s so you can watch the results directly.<\/p>\n<h2>Cover art (generated)<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/wan-2-7-cover-base.jpg\" alt=\"Still frame from a generated espresso macro video, used as the base for the cover\" \/><figcaption>Base frame source: Test 1. Prompt: A highly detailed macro shot of a crystal clear glass on a rustic wooden table. Thick steaming hot espresso is slowly poured into cold milk, creating physically accurate swirling gradients and foam. Warm golden hour light, shallow depth of field, cinematic.<\/figcaption><\/figure>\n<h2>Test setup<\/h2>\n<table>\n<tr>\n<td>Video model<\/td>\n<td>alibaba\/wan-2-7<\/td>\n<\/tr>\n<tr>\n<td>Duration<\/td>\n<td>5 seconds (all tests)<\/td>\n<\/tr>\n<tr>\n<td>Resolution<\/td>\n<td>720P<\/td>\n<\/tr>\n<tr>\n<td>Prompt Extend<\/td>\n<td>false (kept prompts as-written)<\/td>\n<\/tr>\n<tr>\n<td>Watermark<\/td>\n<td>false<\/td>\n<\/tr>\n<tr>\n<td>Observed cost<\/td>\n<td>$0.50 per 5s run at 720P (from Wiro run cost)<\/td>\n<\/tr>\n<\/table>\n<h2>5 video prompt tests<\/h2>\n<h3>Test 1: Espresso macro physics (text-to-video)<\/h3>\n<figure>\n  <video controls preload=\"metadata\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/wan-2-7-test-1.mp4\" style=\"max-width:100%\"><\/video><figcaption>Prompt: A highly detailed macro shot of a crystal clear glass on a rustic wooden table. Thick steaming hot espresso is slowly poured into cold milk, creating physically accurate swirling gradients and foam. Warm golden hour light, shallow depth of field, cinematic. Negative: blurry, low quality, artifacts.<\/figcaption><\/figure>\n<h3>Test 2: Human hands + motion (text-to-video)<\/h3>\n<figure>\n  <video controls preload=\"metadata\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/wan-2-7-test-2.mp4\" style=\"max-width:100%\"><\/video><figcaption>Prompt: Cinematic handheld shot in a subway station. A street violinist plays under warm fluorescent lights. The camera slowly dolly-ins from waist-up to close-up of the hands on the strings. Natural crowd movement in the background, realistic motion blur. Negative: glitch, warped hands, artifacts.<\/figcaption><\/figure>\n<h3>Test 3: Macro tracking + environment motion (text-to-video)<\/h3>\n<figure>\n  <video controls preload=\"metadata\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/wan-2-7-test-3.mp4\" style=\"max-width:100%\"><\/video><figcaption>Prompt: Macro cinematic shot of a tiny friendly robot walking through tall grass after rain. Dew drops sparkle. The camera tracks alongside at ground level. Natural wind moves blades of grass, shallow depth of field, soft bokeh. Negative: glitch, extra limbs, artifacts.<\/figcaption><\/figure>\n<h3>Test 4: Landscape + speed of motion (text-to-video)<\/h3>\n<figure>\n  <video controls preload=\"metadata\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/wan-2-7-test-4.mp4\" style=\"max-width:100%\"><\/video><figcaption>Prompt: Wide aerial shot of a snowy mountain ridge at sunrise. Thin clouds drift quickly across the peaks like a gentle time-lapse. Warm light spills over the ridge, subtle lens flare, stable horizon, cinematic. Negative: glitch, jitter, artifacts.<\/figcaption><\/figure>\n<h3>Test 5: Animate a still image (image-to-video)<\/h3>\n<p><strong>Input image:<\/strong><\/p>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/wan-2-7-input-2.jpg\" alt=\"Input image for WAN 2.7 image-to-video test: colorful canal scene\" \/><figcaption>Input image used for image-to-video.<\/figcaption><\/figure>\n<figure>\n  <video controls preload=\"metadata\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/wan-2-7-test-5.mp4\" style=\"max-width:100%\"><\/video><figcaption>Prompt: The scene comes alive with a gentle breeze. The calm green water begins to ripple naturally, softly distorting the crisp reflections of the brightly colored buildings. The moored boats gently bob up and down against their wooden poles, creating small realistic wakes. The camera executes a very slow stable push in straight down the center of the canal.<\/figcaption><\/figure>\n<h2>Quick takeaways<\/h2>\n<ul>\n<li>For short 5-second clips, you can iterate quickly on camera language (dolly-in, tracking, aerial).<\/li>\n<li>Negative prompts help keep runs away from obvious artifacts, but they do not guarantee perfect anatomy.<\/li>\n<li>For image-to-video, the input image drives the output framing and ratio.<\/li>\n<\/ul>\n<h2>Try it on Wiro<\/h2>\n<p><a href=\"https:\/\/wiro.ai\/models\/alibaba\/wan-2-7\">alibaba\/wan-2-7<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>WAN 2.7 video starts to stand out when a short clip needs stable motion, readable camera direction, and clean image to video&hellip;<\/p>\n","protected":false},"author":4,"featured_media":2404,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[139,58,57,206],"class_list":["post-2405","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-reviews","tag-alibaba","tag-image-to-video","tag-text-to-video","tag-wan-2-7"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2405","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/comments?post=2405"}],"version-history":[{"count":3,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2405\/revisions"}],"predecessor-version":[{"id":2922,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2405\/revisions\/2922"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/2404"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=2405"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=2405"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=2405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}