Wan 2.2 I2V 720p LoRA

Wan 2.2 I2V 720p LoRA

Playground

WAN 2.2 Image-to-Video (i2v) 720p converts images into 720p videos and supports custom LoRAs for style personalization. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Wan 2.2 Image-to-Video 720p LoRA

Generate customized 720p HD videos from images with full LoRA support using Wan 2.2. This premium model delivers high-quality output with three LoRA slots for precise style control — perfect for professional content, cinematic scenes, and custom character animation.

Looking for faster processing? Try Wan 2.2 I2V 720p LoRA Ultra Fast for speed-optimized generation.

Why It Looks Great

• 720p HD output: Sharp, professional-quality video for final deliverables.
• LoRA support: Apply up to 3 custom LoRAs each for standard, high-noise, and low-noise stages.
• Premium quality: Standard processing delivers maximum visual fidelity.
• Start-to-end interpolation: Optionally provide a last frame for smooth transitions.
• Negative prompt support: Exclude unwanted elements for precise control.
• Prompt Enhancer: Built-in tool to refine your motion descriptions automatically.
• Safety Checker: Optional content filtering for appropriate output.

Parameters

How to Use

1. Upload your starting image — drag and drop or paste a public URL.
2. Write your prompt — describe the motion, style, and action in detail.
3. Use Prompt Enhancer (optional) — click to enrich your motion description.
4. Add negative prompt (optional) — specify elements to exclude.
5. Upload last image (optional) — add an ending frame for interpolation effects.
6. Set duration — choose 5 or 8 seconds.
7. Add LoRAs (optional) — click ”+ Add Item” to include custom LoRA adapters.
8. Set seed (optional) — for reproducible results.
9. Run — click the button to generate.
10. Download — preview and save your video.

Pricing

Per 5-second billing based on duration.

Understanding LoRA Options

This model provides three different LoRA slots that affect different stages of the generation process:

LoRA Strategy Tips

• Single style: Use standard loras for consistent style throughout.
• Layered control: Combine high_noise for composition + low_noise for details.
• Character + Style: Use one slot for character LoRA, another for style LoRA.

Best Use Cases

• Cinematic Content — Create professional-quality videos with rich detail and atmosphere.
• Custom Character Animation — Apply character LoRAs for consistent identity across videos.
• Documentary Style — Generate realistic, immersive scenes with natural motion.
• Brand Content — Use trained LoRAs for consistent brand visual identity.
• Final Deliverables — Premium quality suitable for professional distribution.

Example Prompts

• “A handheld camera walks through a busy Middle Eastern bazaar. People bargain, children play, spices and cloths fill the frame. Rich saturated colors, dynamic shadows, shallow depth of field. Natural dialogue sounds faintly in the background. Organic, documentary feel.”
• “Cinematic drone shot over misty mountains at sunrise, smooth camera movement, epic scale”
• “Portrait subject looks up slowly, soft window light shifting across face, intimate mood”
• “Product showcase with elegant camera orbit, studio lighting, professional commercial style”
• “Fantasy character casting spell, magical particles swirling, dramatic lighting effects”

Model Comparison

How to Use LoRAs

For detailed guides on using and training custom LoRAs:

• Use Your LoRA
• Train Your LoRA

Pro Tips for Best Results

• Use this model for final deliverables where quality matters most.
• Combine multiple LoRAs strategically — high_noise for style, low_noise for details.
• Don’t overload with LoRAs — sometimes 1-2 well-chosen LoRAs work better than many.
• For documentary/cinematic content, describe camera behavior: “handheld”, “tracking”, “shallow depth of field”.
• Use the last_image feature for controlled transitions between scenes or states.
• Test concepts with the Ultra Fast variant first, then generate finals with this model.

Notes

• If using URLs for images, ensure they are publicly accessible. Preview thumbnails confirm successful loading.
• Each LoRA slot (loras, high_noise_loras, low_noise_loras) supports up to 3 LoRAs.
• Enable Safety Checker for content that will be publicly shared.
• Standard processing takes longer but delivers higher quality than Ultra Fast variants.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/i2v-720p-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "duration": 5,
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"