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

Duration	Resolution	Cost per job
5 seconds	480p	$0.20
8 seconds	480p	$0.40
5 seconds	720p	$0.32
8 seconds	720p	$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

• How to use LoRA?
• How to train your LoRA?
• The train method on WaveSpeedAI