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Wan 2.2 Spicy Image to Video LoRA

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Generate AI videos with personalized styles using LoRA. Upload images and apply a trained style model to WAN 2.2 — create unique, stylized videos with consistent visual identity.

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就绪

$0.2每次运行·~50 / $10

示例查看全部

Athletic woman holding dancer's pose in bright minimalist yoga studio, subtle micro-movements maintaining balance, standing leg muscles engaging, raised back leg held steady with slight graceful adjustments, arm overhead with fingers gently moving, focused determined gaze, controlled breathing visible in core, black sports bra and leggings showcasing toned physique, soft natural light streaming through large windows, peaceful studio atmosphere, static camera capturing strength and grace, yoga instruction video quality

Animate the astronaut rotating slightly, dust particles floating, nebula clouds subtly moving, and the camera slowly drifting closer.

Animate the airship gently gliding, engine turbines spinning, clouds rolling beneath, and the camera sweeping from left to right.

Make the floating lights gently drift, fog move softly, tree leaves sway, and the camera slowly moves along the forest path.

Animate blinking lights on the circuitry, subtle head movement, holographic UI panels shifting, and the camera making a slow micro-dolly movement.

相关模型

README

WAN 2.2 Spicy — Image-to-Video-I2V-LoRA

WAN 2.2 Spicy (LoRA) is an enhanced image-to-video generation model built on the WAN 2.2 multimodal architecture, now featuring LoRA fine-tuning support. It transforms static images into cinematic 480p or 720p motion videos with rich color, expressive movement, and customizable style — ideal for creators, artists, and visual designers.

🔥 Why It Looks Great

  • Dynamic Realism: captures smooth, coherent motion with stable subjects and natural camera transitions.
  • Cinematic Aesthetics: reproduces professional-grade lighting, depth, and color balance.
  • Enhanced with LoRA: supports up to 3 LoRAs per job, allowing style, character, or motion customization.
  • Adaptive Motion Design: intelligently adjusts motion intensity based on prompt semantics.
  • Flexible Output: supports both portrait and landscape formats for social media or cinematic projects.

✨ Key Features

  • Expressive Motion Synthesis — vivid, coherent motion generation with stable frames.
  • LoRA Fine-Tuning (up to 3 LoRAs) — apply custom LoRAs for artistic control or stylistic consistency.
  • Flexible Duration Options — 5s or 8s video generation for short-form storytelling.
  • Artistic Style Adaptation — from realistic visuals to stylized anime or painterly looks.
  • Lighting & Color Optimization — automatic tone mapping for cinematic mood and depth.

⚙️ Specifications

  • Input: Single image (JPG, PNG)
  • Output: Video (480p / 720p, MP4 format)
  • Duration: 5s or 8s
  • LoRA Support: up to 3 LoRAs (Support high_noise and low_noise)
  • Seed Control: Optional reproducibility

💰 Pricing

DurationResolutionCost per job
5 seconds480p$0.20
8 seconds480p$0.40
5 seconds720p$0.32
8 seconds720p$0.64

🧩 How to Use

  1. Upload your image (high-quality reference recommended).
  2. Enter a prompt describing motion, tone, or camera action.
  3. (Optional) Add up to 3 LoRAs under loras, high_noise_loras, or low_noise_loras.
  4. Choose resolution (480p or 720p) and duration (5s or 8s).
  5. (Optional) Set seed for reproducibility.
  6. Click Run to generate your video.

📝 Notes

  • Works best with well-lit, clear images.
  • Avoid overly complex prompts to maintain clean motion.
  • LoRA sources must be from reliable repositories with open access.
  • For stronger visual identity, test combinations of low_noise and high_noise LoRAs.
  • If the output seems static, increase motion-related phrasing in your prompt.

📄Reference

无障碍:本网站使用的 AI 模型由第三方提供。

Wan 2.2 Spicy Image To Video Lora API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2-spicy/image-to-video-lora with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Wan 2.2 Spicy Image To Video Lora below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2-spicy/image-to-video-lora" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "resolution": "480p",
    "duration": 5,
    "seed": -1
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/wan-2.2-spicy/image-to-video-lora", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://example.com/your-input.jpg",
        "resolution": "480p",
        "duration": 5,
        "seed": -1
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/wan-2.2-spicy/image-to-video-lora",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "resolution": "480p",
    "duration": 5,
    "seed": -1
}
)

print(output["outputs"][0])  # → URL of the generated output

Wan 2.2 Spicy Image To Video Lora API — Frequently asked questions

What is the Wan 2.2 Spicy Image To Video Lora API?

Wan 2.2 Spicy Image To Video Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Generate AI videos with personalized styles using LoRA. Upload images and apply a trained style model to WAN 2.2 — create unique, stylized videos with consistent visual identity. You can call it programmatically or try it from the playground above.

How do I call the Wan 2.2 Spicy Image To Video Lora API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.2-spicy-image-to-video-lora.

How much does Wan 2.2 Spicy Image To Video Lora cost per run?

Wan 2.2 Spicy Image To Video Lora starts at $0.20 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Wan 2.2 Spicy Image To Video Lora accept?

Key inputs: `prompt`, `image`, `resolution`, `duration`, `seed`, `high_noise_loras`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.2-spicy-image-to-video-lora.

How long does Wan 2.2 Spicy Image To Video Lora take to generate?

Average end-to-end generation time on WaveSpeedAI is around 35 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Wan 2.2 Spicy Image To Video Lora outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

1. 什么是 LoRA,为什么用于视频生成?

LoRA(Low-Rank Adaptation,低秩适配)是一种轻量微调技术,帮助 AI 视频模型学习特定角色、视觉风格、品牌调性或艺术方向,而无需重新训练整个基座模型。在 AI 视频生成中,LoRA 如同在强大视频模型之上的额外风格或身份层,让创作者获得更一致的画面与更可重复的结果。

在图生视频流程中,一致性是最大的挑战之一。普通 AI 视频模型能从参考图生成流畅动作,但角色的面部、服装、画风、色板或品牌美感可能在多次生成之间漂移。LoRA 通过把模型引导向特定视觉身份来缓解这一问题。

WaveSpeedAI 的 WAN 2.2 Spicy 图生视频 LoRA 模型将高质量图生视频与自定义 LoRA 支持结合。用户可上传参考图,在提示词中描述期望的动作、镜头或情绪,并可通过 lorashigh_noise_loraslow_noise_loras 最多应用 3 个 LoRA。模型支持 480p 与 720p 输出、5 秒或 8 秒时长,以及用于提高可复现性的种子控制。

因此 WAN 2.2 Spicy LoRA 特别适合需要角色一致、品牌化视频内容、动漫风格视频、电影感产品画面或可扩展 AI 视频流水线的创作者。


2. WAN 2.2 Spicy 图生视频 LoRA 的适用场景

风格统一的品牌视频

对品牌而言,视觉一致性至关重要。每条产品视频、社媒广告、发布预告或战役素材都需遵循相同的设计语言、色调、产品外观与整体品牌识别。WAN 2.2 Spicy 图生视频 LoRA 帮助品牌从单张图像生成 AI 视频,并在多次输出间保持更一致的视觉风格。

通过应用品牌专属 LoRA,营销团队能更好地保留产品细节、布光风格、调色、模特气质或战役美学。对电商、时尚美妆、游戏工作室及需要快速批量出片的创意代理商尤其有价值。

建议自然融入的 SEO 关键词: AI 品牌视频生成器、品牌视频生成、一致品牌视频、图生视频 AI、AI 产品视频生成器、LoRA 视频生成、AI 营销视频

建议用途:

  • 新品发布视频
  • 电商产品动效
  • 时尚与美妆战役视频
  • 社交媒体广告创意
  • 品牌角色或吉祥物视频
  • 代理商可扩展的 AI 视频制作

WaveSpeedAI 提供开箱即用的 REST 推理 API、无冷启动且基础设施可扩展,因此该模型也适合开发自动化视频生成工具或高吞吐创意工作流的开发者。

动漫风格视频生成

WAN 2.2 Spicy LoRA 同样适合动漫风格视频。动漫与风格化内容通常需要稳定的角色身份、发型与服装细节、五官、线稿与阴影风格。没有 LoRA 时,AI 视频虽能做出吸引人的动作,但在不同片段间角色设计或画风容易漂移。

借助自定义 LoRA,创作者可把模型引导至特定动漫角色画风、插画风格或视觉宇宙,适用于动漫短片、虚拟主播内容、AI 音乐视频、游戏角色动画、同人风格动画与电影感动漫镜头。

建议 SEO 关键词: 动漫视频生成器、AI 动漫视频生成器、动漫图生视频、LoRA 动漫视频、动漫风格视频生成、AI 动画生成器、角色一致视频

建议用途:

  • 从参考图生成动漫角色动画
  • 虚拟主播片头或宣传短片
  • AI 动漫音乐视频
  • 风格化打斗或情绪戏
  • 游戏过场概念动画
  • 面向 TikTok、YouTube Shorts、Reels 的短视频动漫内容

核心价值不只是「把静态图变成动效」,而是在生成动作的同时保留可辨识的动漫风格或角色身份。

艺术风格视频创作

艺术家、设计师与电影人可用 WAN 2.2 Spicy 图生视频 LoRA 按明确视觉方向创作风格化视频。无需逐帧手剪,可通过 LoRA 权重在更受控的艺术风格下生成视频,例如水彩、油画、赛博朋克、奇幻插画、复古胶片、3D 卡通、电影概念美术或超现实视觉效果。

当风格与动作同样重要时尤其有价值:例如音乐可视化需要一贯的超现实观感;数字艺术家希望动画化作品集图像同时保留个人签名风格;创意代理商需要多条动效概念但保持同一视觉身份。

建议 SEO 关键词: AI 艺术视频生成器、风格化视频生成、LoRA 艺术风格视频、图生视频艺术生成器、电影感 AI 视频、AI 音乐视频生成器、自定义风格视频 AI

建议用途:

  • 音乐可视化
  • 数字艺术动画
  • 实验短片
  • 概念美术动效预览
  • 赛博朋克或奇幻风格视频
  • 社交媒体艺术内容
  • AI 电影制作原型

WAN 2.2 Spicy 定位于高质量、流畅的图生视频动画与可扩展内容生成;LoRA 版本则增加一层风格控制与创意可重复性。

3. WAN 2.2 Spicy LoRA 与标准 WAN 2.2:输出差异

标准 WAN 2.2 Spicy 图生视频模型旨在将单张图像转为高质量、动作流畅的视频,适合通用图生视频。LoRA 版本保留相同核心图生视频流程,但增加自定义 LoRA 权重支持,让用户对风格、角色一致性与重复视觉身份有更强控制。

对比项标准 WAN 2.2 Spicy 图生视频WAN 2.2 Spicy 图生视频 LoRA
最适合通用图生视频风格、角色或品牌视频的一致生成
输入图像 + 提示词图像 + 提示词 + 可选 LoRA 权重
动作质量流畅、电影感动画流畅、电影感动画,并具更强风格引导
风格控制主要由提示词控制由提示词 + 自定义 LoRA 控制
角色一致性各次生成间可能变化更有利于保持角色身份
品牌一致性主要受提示词与参考图限制更有利于可重复的品牌视觉风格
动漫 / 艺术风格可行,但偏泛用更适合特定动漫或艺术风格
可复现性支持种子支持种子,并具 LoRA 引导的一致性
生产用途快速通用视频创作更适合专业且可重复的创意流水线

简而言之:若追求快速、高质量的 AI 图生视频,标准版更合适;若需要在多条视频中保持特定观感一致,LoRA 版更合适。

例如用户上传产品图并要求电影感运镜时,标准模型可生成流畅产品视频;若希望每次输出都遵循同一奢侈品牌调性、同一布光情绪、同一色板或同一模特气质,则 LoRA 版更佳。

同理,在动漫风格视频上,标准模型可做出赏心悦目的动画,而 LoRA 版更能保留特定动漫角色设计、插画风格或训练过的视觉身份。

从 SEO 角度,本节可针对对比类关键词:WAN 2.2 LoRA 与 WAN 2.2、WAN 2.2 Spicy LoRA、LoRA 图生视频、带 LoRA 的 AI 视频生成、自定义 LoRA 视频生成器、角色一致 AI 视频等。