Wan 2.2 T2V 480p LoRA

Wan 2.2 T2V 480p LoRA

Playground

WAN 2.2 T2V 480p with LoRA generates text-to-video at 480p and supports custom LoRAs for personalized styles. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Wan 2.2 Text-to-Video 480p LoRA

Create customized videos from text with full LoRA support using Wan 2.2. This model generates 480p videos from descriptions alone while allowing you to apply custom LoRA adapters for unique styles, characters, and effects — perfect for stylized content and rapid creative iteration.

Looking for higher resolution? Try Wan 2.2 T2V 720p LoRA for HD output with LoRA support.

Why It Looks Great

• Pure text-to-video: Generate complete videos from descriptions alone — no images needed.
• LoRA support: Apply up to 3 custom LoRAs each for standard, high-noise, and low-noise stages.
• Landscape & portrait: Supports both horizontal and vertical orientations for any platform.
• 480p efficiency: Ideal resolution for mobile content and rapid iteration.
• Negative prompt support: Exclude unwanted elements for precise control.
• Prompt Enhancer: Built-in tool to refine your descriptions automatically.
• Safety Checker: Optional content filtering for appropriate output.

Parameters

How to Use

1. Write your prompt — describe the scene, characters, motion, and atmosphere in detail.
2. Use Prompt Enhancer (optional) — click to automatically enrich your description.
3. Add negative prompt (optional) — specify elements to exclude.
4. Choose size — select landscape (832×480) or portrait (480×832) orientation.
5. Set duration — choose 5 or 8 seconds.
6. Add LoRAs (optional) — click ”+ Add Item” to include custom LoRA adapters.
7. Set seed (optional) — for reproducible results.
8. Run — click the button to generate.
9. 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:

Size Options

Best Use Cases

• Stylized Content — Apply style LoRAs for unique visual aesthetics.
• Character Animation — Use character LoRAs for consistent identity in generated videos.
• Social Media Content — Create platform-optimized videos with custom styles.
• Rapid Style Testing — Experiment with different LoRA combinations affordably.
• Brand Content — Apply trained LoRAs for consistent brand visuals.

Example Prompts

• “A bride stands in a softly lit room, adjusting her earrings in the mirror. Her traditional dress is rich in detail—silk, embroidery, delicate patterns. The camera focuses on her calm yet nervous expression. Intimate, elegant, photorealistic portraiture with cultural depth.”
• “Anime character walking through neon-lit city streets, rain falling, reflections on wet pavement”
• “Fantasy wizard casting spell, magical particles swirling, dramatic lighting, cinematic style”
• “Peaceful zen garden with flowing water, cherry blossoms falling, meditative atmosphere”
• “Cyberpunk motorcycle chase through futuristic city, motion blur, intense action”

How to Use LoRAs

For detailed guides on using and training custom LoRAs:

• Use Your LoRA
• Train Your LoRA

Pro Tips for Best Results

• Start without LoRAs to establish a baseline, then add them incrementally.
• Use high_noise_loras for major style/composition changes, low_noise_loras for subtle refinements.
• Match orientation to platform: portrait for TikTok/Reels, landscape for YouTube.
• Don’t overload with LoRAs — sometimes 1-2 well-chosen LoRAs work better than many.
• Match your prompt language to the LoRA’s training — use trigger words if applicable.
• 480p is perfect for testing LoRA combinations before upgrading to 720p.

Notes

• Duration options are 5 or 8 seconds only.
• Each LoRA slot supports up to 3 LoRAs.
• Enable Safety Checker for content that will be publicly shared.
• 480p is sufficient for most mobile viewing and social media platforms.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/t2v-480p-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "832*480",
    "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}"