WAN 2.2 Spicy — Image-to-Video-I2V-LoRA-extend
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.
The extend version is the version optimized for generating long videos.
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
| Resolution | Price per second |
|---|
| 480p | $0.04 / s |
| 720p | $0.08 / s |
🧩 How to Use
- Upload your image (high-quality reference recommended).
- Enter a prompt describing motion, tone, or camera action.
- (Optional) Add up to 3 LoRAs under
loras, high_noise_loras, or low_noise_loras.
- Choose resolution (480p or 720p) and duration (5s or 8s).
- (Optional) Set seed for reproducibility.
- 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