lora-support
Wan 2.2 I2V 480P Ultra-Fast Image-To-Video With LoRA Support
Wan 2.2 i2v delivers ultra-fast Image-to-Video at 480p with support for custom LoRAs for tailored styles. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
이 요청에는 $0.1 실행당가 필요합니다.
$1으로 이 모델을 약 10회 실행할 수 있습니다.
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README
Wan-2.2-i2v-480p-lora-ultra-fast
Wan 2.2 (Ultra-Fast 480p, with LoRA) is a high-speed multimodal video generation model. It delivers cinematic-quality results at ultra-fast inference speed, with support for up to 3 LoRAs per job for flexible style and character control.
Key Features
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Cinematic-level Aesthetic Control: Professional camera language, multi-dimensional control over lighting, color, and composition.
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Large-scale Complex Motion: Smoothly restores natural motion, supports multi-subject dynamics, and enhances controllability.
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Precise Semantic Compliance: Excels at complex scene understanding and multi-object generation, ensuring faithful creative intent.
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LoRA Integration: Import up to 3 LoRAs per job for both high-noise and low-noise experts, with adjustable blending scale.
Limits and Performance
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Resolution: 480p
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Duration options: 5s or 8s
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Input types:
- Prompt
- Image (First Frame)
- Last Image (Last Frame)
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LoRAs: up to 3 high-noise LoRAs + 3 low-noise LoRAs or just 3 LoRAs
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Seed: reproducibility control
Pricing
| Duration | Cost |
|---|---|
| 5 seconds | $0.10 |
| 8 seconds | $0.16 |
How to Use
- Upload an initial image.
- Write a prompt describing the video scene.
- (Optional) Add a last_image for smooth transitions.
- Select duration (5s or 8s).
- Add LoRAs (up to 3 for high-noise experts, 3 for low-noise experts).
- (Optional) Set a seed for reproducibility.
- Run the job and preview/download your video.
Pro Tips
- Use image + last_image for storyboarding transitions.
- Apply high-noise LoRAs for global style changes, and low-noise LoRAs for subtle refinements.
- Keep LoRA scale values balanced (0.5–1.0 recommended) for natural blending.
- Choose 5s for quick iterations and 8s for polished results.
Note
- If you did not upload the image locally, please ensure that the image URL is accessible! A successfully accessible image will display a preview in the interface.