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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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$0.2每次運行·~50 / $10

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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.

相關模型

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

無障礙:本網站使用的 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. 什麼是 LoRA,為何用於影片生成?

LoRA(Low-Rank Adaptation,低秩適配)是一種輕量微調技術,協助 AI 影片模型學習特定角色、視覺風格、品牌調性或藝術方向,而無需重新訓練整個基座模型。在 AI 影片生成中,LoRA 如同強大影片模型之上的額外風格或身分層,讓創作者獲得更一致的畫面與更可重複的結果。

在圖生影片流程中,一致性是最大挑戰之一。一般 AI 影片模型能從參考圖生成流暢動作,但角色的臉部、服裝、畫風、色盤或品牌美感可能在多次生成之間漂移。LoRA 透過將模型引導向特定視覺身分來緩解此問題。

WaveSpeedAI 的 WAN 2.2 Spicy 圖生影片 LoRA 模型將高品質圖生影片與自訂 LoRA 支援結合。使用者可上傳參考圖,在提示詞中描述期望的動作、鏡頭或情緒,並可透過 lorashigh_noise_loraslow_noise_loras 最多套用 3 個 LoRA。模型支援 480p 與 720p 輸出、5 秒或 8 秒長度,以及用於提高可重現性的種子控制。

因此 WAN 2.2 Spicy LoRA 特別適合需要角色一致、品牌化影片內容、動漫風格影片、電影感產品畫面或可擴展 AI 影片管線的創作者。


2. WAN 2.2 Spicy 圖生影片 LoRA 的適用情境

風格統一的品牌影片

對品牌而言,視覺一致性至關重要。每支產品影片、社群廣告、發表預告或活動素材都需遵循相同的設計語言、色調、產品外觀與整體品牌識別。WAN 2.2 Spicy 圖生影片 LoRA 協助品牌從單張影像生成 AI 影片,並在多次輸出間保持更一致的視覺風格。

透過套用品牌專屬 LoRA,行銷團隊能更好地保留產品細節、打光風格、調色、模特兒氣質或活動美學。對電商、時尚美妝、遊戲工作室及需要快速大量出片的創意代理商尤其有價值。

建議自然融入的 SEO 關鍵字: AI 品牌影片產生器、品牌影片生成、一致品牌影片、圖生影片 AI、AI 產品影片產生器、LoRA 影片生成、AI 行銷影片

建議用途:

  • 新品發表影片
  • 電商產品動效
  • 時尚與美妝活動影片
  • 社群媒體廣告創意
  • 品牌角色或吉祥物影片
  • 代理商可擴展的 AI 影片製作

WaveSpeedAI 提供開箱即用的 REST 推論 API、無冷啟動且基礎設施可擴展,因此該模型也適合開發自動化影片生成工具或高吞吐創意工作流程的開發者。

動漫風格影片生成

WAN 2.2 Spicy LoRA 同樣適合動漫風格影片。動漫與風格化內容通常需要穩定的角色身分、髮型與服裝細節、五官、線稿與陰影風格。沒有 LoRA 時,AI 影片雖能做出吸引人的動作,但在不同片段間角色設計或畫風容易漂移。

藉由自訂 LoRA,創作者可將模型引導至特定動漫角色畫風、插畫風格或視覺宇宙,適用於動漫短片、虛擬 YouTuber 內容、AI 音樂影片、遊戲角色動畫、同人風格動畫與電影感動漫鏡頭。

建議 SEO 關鍵字: 動漫影片產生器、AI 動漫影片產生器、動漫圖生影片、LoRA 動漫影片、動漫風格影片生成、AI 動畫產生器、角色一致影片

建議用途:

  • 從參考圖生成動漫角色動畫
  • 虛擬 YouTuber 片頭或宣傳短片
  • AI 動漫音樂影片
  • 風格化打鬥或情緒戲
  • 遊戲過場概念動畫
  • 面向 TikTok、YouTube Shorts、Reels 的短影片動漫內容

核心價值不只是「把靜態圖變成動效」,而是在生成動作的同時保留可辨識的動漫風格或角色身分。

藝術風格影片創作

藝術家、設計師與電影人可用 WAN 2.2 Spicy 圖生影片 LoRA 依明確視覺方向創作風格化影片。無需逐幀手剪,可透過 LoRA 權重在更受控的藝術風格下生成影片,例如水彩、油畫、賽博龐克、奇幻插畫、復古膠片、3D 卡通、電影概念美術或超現實視覺效果。

當風格與動作同樣重要時尤其有價值:例如音樂視覺化需要一貫的超現實觀感;數位藝術家希望動畫化作品集影像同時保留個人簽名風格;創意代理商需要多條動效概念但保持同一視覺身分。

建議 SEO 關鍵字: AI 藝術影片產生器、風格化影片生成、LoRA 藝術風格影片、圖生影片藝術產生器、電影感 AI 影片、AI 音樂影片產生器、自訂風格影片 AI

建議用途:

  • 音樂視覺化
  • 數位藝術動畫
  • 實驗短片
  • 概念美術動效預覽
  • 賽博龐克或奇幻風格影片
  • 社群媒體藝術內容
  • AI 電影製作原型

WAN 2.2 Spicy 定位於高品質、流暢的圖生影片動畫與可擴展內容生成;LoRA 版本則增加一層風格控制與創意可重複性。

3. WAN 2.2 Spicy LoRA 與標準 WAN 2.2:輸出差異

標準 WAN 2.2 Spicy 圖生影片模型旨在將單張影像轉為高品質、動作流暢的影片,適合通用圖生影片。LoRA 版本保留相同核心圖生影片流程,但增加自訂 LoRA 權重支援,讓使用者對風格、角色一致性與重複視覺身分有更強控制。

比較項目標準 WAN 2.2 Spicy 圖生影片WAN 2.2 Spicy 圖生影片 LoRA
最適合通用圖生影片風格、角色或品牌影片的一致生成
輸入影像 + 提示詞影像 + 提示詞 + 可選 LoRA 權重
動作品質流暢、電影感動畫流暢、電影感動畫,並具更強風格引導
風格控制主要由提示詞控制由提示詞 + 自訂 LoRA 控制
角色一致性各次生成間可能變化更有利於保持角色身分
品牌一致性主要受提示詞與參考圖限制更有利於可重複的品牌視覺風格
動漫 / 藝術風格可行,但偏泛用更適合特定動漫或藝術風格
可重現性支援種子支援種子,並具 LoRA 引導的一致性
生產用途快速通用影片創作更適合專業且可重複的創意管線

簡而言之:若追求快速、高品質的 AI 圖生影片,標準版較合適;若需要在多支影片中保持特定觀感一致,LoRA 版較合適。

例如使用者上傳產品圖並要求電影感運鏡時,標準模型可生成流暢產品影片;若希望每次輸出都遵循同一奢侈品牌調性、同一打光情緒、同一色盤或同一模特兒氣質,則 LoRA 版更佳。

同理,在動漫風格影片上,標準模型可做出賞心悅目的動畫,而 LoRA 版更能保留特定動漫角色設計、插畫風格或訓練過的視覺身分。

從 SEO 角度,本節可針對比較類關鍵字:WAN 2.2 LoRA 與 WAN 2.2、WAN 2.2 Spicy LoRA、LoRA 圖生影片、帶 LoRA 的 AI 影片生成、自訂 LoRA 影片產生器、角色一致 AI 影片等。