Wan 2.2 T2V 720p LoRA Ultra Fast

Wan 2.2 T2V 720p LoRA Ultra Fast

Playground

Ultra-fast Wan 2.2 Text-to-Video generates unlimited 720p AI videos with custom LoRAs for personalized styles. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Wan 2.2 Text-to-Video 720p LoRA Ultra Fast

Generate customized 720p HD videos from text at blazing speed with full LoRA support. This speed-optimized model delivers high-quality output with three LoRA slots for style control — perfect for rapid iteration, testing LoRA combinations, and high-volume production.

Need maximum quality? Try Wan 2.2 T2V 720p LoRA for standard processing with premium output.

Why It Looks Great

• Ultra-fast generation: Speed-optimized for rapid turnaround without sacrificing quality.
• 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.
• 720p HD output: Sharp, professional-quality video suitable for most use cases.
• Landscape & portrait: Supports both 1280×720 and 720×1280 orientations.
• Negative prompt support: Exclude unwanted elements for precise control.
• 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. Add negative prompt (optional) — specify elements to exclude.
3. Choose size — select landscape (1280×720) or portrait (720×1280) orientation.
4. Set duration — choose 5 or 8 seconds.
5. Add LoRAs (optional) — click ”+ Add Item” to include custom LoRA adapters.
6. Set seed (optional) — for reproducible results.
7. Run — click the button to generate.
8. 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

• Rapid LoRA Testing — Quickly iterate on LoRA combinations to find the perfect mix.
• High-Volume Production — Generate large batches of stylized content efficiently.
• Style Exploration — Experiment with different visual aesthetics at speed.
• Social Media Content — Create platform-optimized HD videos with custom styles.
• Concept Prototyping — Test ideas quickly before committing to slower, higher-quality generation.

Example Prompts

• “Anime girl walking through cherry blossom garden, petals falling, soft pink lighting, peaceful mood”
• “Epic fantasy battle scene, dragons and knights, dramatic lighting, cinematic action”
• “Cozy cafe interior, steam rising from coffee, rain on windows, lo-fi aesthetic”
• “Futuristic robot dancing in neon-lit club, holographic effects, cyberpunk style”
• “Serene mountain lake at sunrise, mist rolling over water, nature documentary quality”

How to Use LoRAs

For detailed guides on using and training custom LoRAs:

• Use Your LoRA
• Train Your LoRA

Model Comparison

Pro Tips for Best Results

• Ultra Fast is ideal for testing — iterate quickly, then regenerate favorites with standard models.
• Use high_noise_loras for major style changes, low_noise_loras for subtle refinements.
• Don’t overload with LoRAs — sometimes 1-2 well-chosen LoRAs work better than many.
• Match orientation to platform: portrait for TikTok/Reels, landscape for YouTube.
• Keep the same seed when comparing different LoRA combinations.
• Processing remains fast even with multiple LoRAs applied.

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.
• Ultra Fast prioritizes speed — for maximum quality, use standard variants.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/t2v-720p-lora-ultra-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1280*720",
    "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}"