（由于原始内容非常长，以下仅提供翻译后的前段，完整内容请根据需要自行翻译或保留原文）
name: wan-image-video-gen-edit
description: 基于 Wan 系列模型的图像和视频生成、编辑。支持文本转图像、图像编辑（含提示）、文本转视频、图像转视频以及参考图像/视频转视频。
homepage: https://bailian.console.aliyun.com/cn-beijing?tab=model#/model-market
metadata: {"clawdbot":{"emoji":"🔍","requires":{"bins":["python3"],"env":["DASHSCOPE_API_KEY"]},"primaryEnv":"DASHSCOPE_API_KEY"},"author":"KrisYe"}
# Wan 模型
Wan 模型，由阿里巴巴集团创建，广泛用于图像和视频生成编辑，全球范围内广泛采用。本技能集成在 ModelStudio（百里阿里云模型服务平台）上的 Wan 模型 API。
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（以下内容未翻译，建议根据需要翻译或保留原文）
Wan Models, created by Alibaba Group, are popular image and video generation and editting models and widely adopted around the world. This skill integrates with Wan Modles APIs on ModelStudio(Bailian-Alibaba Model Service Platform).
text2image generation
Gen images from text prompt
python3 {baseDir}/scripts/wan-magic.py text2image --prompt "一个女生站在楼顶的阳台上，夕阳照在她的脸上"
python3 {baseDir}/scripts/wan-magic.py text2image --prompt "一位长发女孩坐在书桌前，背对着镜头，戴着耳机。阳光透过窗户洒进房间，照亮了她和周围散落的书籍与杂物" --size 12801280
python3 {baseDir}/scripts/wan-magic.py text2image --prompt "女生优雅地倚在车门旁，身穿红色褶皱长裙，在复古色调的室内场景中缓慢转身看向镜头，霓虹光斑在玻璃窗上流动，轻微晃动，背景家具逐渐虚化凸显人物独白，画面带有电影胶片颗粒质感，港风朦胧光影映照出淡淡的忧伤情绪" --quantity 1
Options
--quantity: Number of images (default: 1, max: 4)--prompt: User Prompt for Image Generation--size: Image resolution(default:12801280,support resolutions with a width and height from 512 to 1440 pixels, provided the total pixel count does not exceed 14401440. Common resolutions:12801280,11041472,14721104,9601696,1696960)
image2image editting
Gen images from image(image editting)
python3 {baseDir}/scripts/wan-magic.py image-edit --prompt "参考图1的风格和图2的背景，生成一张全新的图片" \
--images 'https://cdn.wanx.aliyuncs.com/tmp/pressure/umbrella1.png' \
'https://img.alicdn.com/imgextra/i3/O1CN01SfG4J41UYn9WNt4X1_!!6000000002530-49-tps-1696-960.webp' \
--size "12801280"
python3 {baseDir}/scripts/wan-magic.py image-edit --prompt "参考图1的风格和图2的背景，生成一张全新的图片" \
--images '/Users/yejianhongali/workDir/pic1.png' \
'/Users/yejianhongali/workDir/pic2.webp'
python3 {baseDir}/scripts/wan-magic.py image-edit --prompt "参考图1的风格和图2的背景，生成一张全新的图片" --images 'https://cdn.wanx.aliyuncs.com/tmp/pressure/umbrella1.png' 'https://img.alicdn.com/imgextra/i3/O1CN01SfG4J41UYn9WNt4X1_!!6000000002530-49-tps-1696-960.webp' --quantity 1
Options
--quantity: Number of images (default: 1, max: 4)--prompt: User Prompt for Image Editting--images: Images to be editted(min: 1 image, max: 4 images).Could be image url or local image file(the wan-magic.py script will turn local image into base64 and pass to model API)--size: Image resolution(default:12801280,support resolutions with a width and height from 512 to 1440 pixels, provided the total pixel count does not exceed 14401440. Common resolutions:12801280,11041472,14721104,9601696,1696960)
text2video generation
Gen video from text prompt
text2video task-submit
python3 {baseDir}/scripts/wan-magic.py text2video-gen --prompt "一幅史诗级可爱的场景。一只小巧可爱的卡通小猫将军，身穿细节精致的金色盔甲，头戴一个稍大的头盔，勇敢地站在悬崖上。他骑着一匹虽小但英勇的战马，说：”青海长云暗雪山，孤城遥望玉门关。黄沙百战穿金甲，不破楼兰终不还。“。悬崖下方，一支由老鼠组成的、数量庞大、无穷无尽的军队正带着临时制作的武器向前冲锋。这是一个戏剧性的、大规模的战斗场景，灵感来自中国古代的战争史诗。远处的雪山上空，天空乌云密布。整体氛围是“可爱”与“霸气”的搞笑和史诗般的融合。" --duration 10 --size "19201080"
Options
--duration: duration(seconds) of video (default: 5, max: 15)--prompt: User Prompt for video generation--size: Image resolution(default:19201080,support any resolutions of 720p and 1080p. required:input resolution numbers(eg. 1280720) instead of 720p)
text2video tasks-get(round-robin)
python3 {baseDir}/scripts/wan-magic.py text2video-get --task-id “”
image2video generation
Gen video from image as the first frame
image2video task-submit
python3 {baseDir}/scripts/wan-magic.py image2video-gen --prompt "一幅都市奇幻艺术的场景。一个充满动感的涂鸦艺术角色。一个由喷漆所画成的少年，正从一面混凝土墙上活过来。他一边用极快的语速演唱一首英文rap，一边摆着一个经典的、充满活力的说唱歌手姿势。场景设定在夜晚一个充满都市感的铁路桥下。灯光来自一盏孤零零的街灯，营造出电影般的氛围，充满高能量和惊人的细节。视频的音频部分完全由他的rap构成，没有其他对话或杂音。" --image "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/wpimhv/rap.png" --duration 10 --resolution "720P"
python3 {baseDir}/scripts/wan-magic.py image2video-gen --prompt "一幅都市奇幻艺术的场景。一个充满动感的涂鸦艺术角色。一个由喷漆所画成的少年，正从一面混凝土墙上活过来。他一边用极快的语速演唱一首英文rap，一边摆着一个经典的、充满活力的说唱歌手姿势。场景设定在夜晚一个充满都市感的铁路桥下。灯光来自一盏孤零零的街灯，营造出电影般的氛围，充满高能量和惊人的细节。视频的音频部分完全由他的rap构成，没有其他对话或杂音。" --image "/Users/yejianhongali/workDir/rap.png"
Options
--duration: duration(seconds) of video (default: 5, max: 15)--prompt: User Prompt for video generation--image: Image as the first frame of the to-be-gen video. Could be image url or local image file(the wan-magic.py script will turn local image into base64 and pass to model API)--resolution: Video resolution(default:1080P,support 720P, 1080P. reqired: 720P or 1080P instead of numbers)
image2video tasks-get(round-robin)
python3 {baseDir}/scripts/wan-magic.py image2video-get --task-id “”
reference2video generation
Gen video from referenced images or/and videos
reference2video task-submit
python3 {baseDir}/scripts/wan-magic.py reference2video-gen --prompt "character1 在海边漫步，微风吹拂头发" --reference-files "https://example.com/person.mp4"
python3 {baseDir}/scripts/wan-magic.py reference2video-gen --prompt "character1 在咖啡厅看书" --reference-files "https://example.com/person.mp4/person.jpg" --duration 5
python3 {baseDir}/scripts/wan-magic.py reference2video-gen --prompt "Character2 坐在靠窗的椅子上，手持 character3，在 character4 旁演奏一首舒缓的美国乡村民谣。Character1 对Character2开口说道：“听起来不错”" --reference-files "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20260129/hfugmr/wan-r2v-role1.mp4" "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20260129/qigswt/wan-r2v-role2.mp4" "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20260129/qpzxps/wan-r2v-object4.png" "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20260129/wfjikw/wan-r2v-backgroud5.png" --duration 10
python3 {baseDir}/scripts/wan-magic.py reference2video-gen --prompt "character2 坐在窗边弹吉他，character1 在旁边听。character1 说：'弹得真好听。'" --reference-files "https://example.com/listener.mp4" "https://example.com/guitarist.mp4" --shot-type "multi" --duration 10 --size "19201080"
Options
--duration: duration(seconds) of video (default: 5, max: 10)--prompt: User Prompt for video generation. NOTICE: Use 'character1' to refer to the first image/video of the reference-files, 'character2' to refer to the second image/video of the reference-files.--reference-files: Referenced images or/and videos(reference_urls) for video generation. Usually the video generated would take the charactors/voice/scenaries as the reference. Referenced images and video must be URLs. Each URL could be an image or video. Image quantity: 0~5 images; Video quantity: 0~3 images; Image+Video quantity in total: less than 5.--resolution: Video resolution(default:19201080,support any resolutions of 720P and 1080P such as: 7201280,1280720,960960,1088832,8321088,19201080,10801920,14401440,16321248,1248*1632)--shot-type: shot type of the video. "single" for a continuous shot, "multi" for intelliagent multi shot for a video(default: single)
reference2video tasks-get(round-robin)
python3 {baseDir}/scripts/wan-magic.py reference2video-get --task-id “”