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Beranda/Jelajahi/Wan 2.1 Video Models/wavespeed-ai/wan-2.1/t2v-720p-lora-ultra-fast
lora-support

lora-support

WAN 2.1 Text-To-Video 720P High-Quality LoRA Support Ultra-Fast Inference

wavespeed-ai/wan-2.1/t2v-720p-lora-ultra-fast

WAN 2.1 Text-to-Video 720P delivers unlimited ultra-fast videos from text prompts and supports custom LoRAs for personalized styles. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Input
Recommend:
Remade-AI/Fire
Remade-AI/Zoom-Call
Remade-AI/Tsunami
Remade-AI/Boxing

Idle

Permintaan Anda akan membutuhkan $0.225 per run.

Untuk $10 Anda dapat menjalankan model ini sekitar 44 kali.

ContohLihat semua

README

Wan 2.1 Text-to-Video 720p LoRA Ultra Fast

Wan 2.1 Text-to-Video 720p LoRA Ultra Fast is a lightning-fast text-to-video generation model with full LoRA support. Generate HD 720p videos from text descriptions in seconds, with custom styles and effects — perfect for rapid iteration and high-volume content creation.

Why It Stands Out

  • Ultra-fast processing: Optimized for speed without sacrificing quality.
  • LoRA support: Apply custom LoRA models for specific styles and effects.
  • HD 720p output: Generate crisp 1280×720 videos with rich detail.
  • Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
  • Negative prompt support: Exclude unwanted elements for cleaner outputs.
  • Fine-tuned control: Adjust guidance scale and flow shift for precise results.
  • Reproducibility: Use the seed parameter to recreate exact results.

Parameters

ParameterRequiredDescription
promptYesText description of the video you want to generate.
negative_promptNoElements to avoid in the output.
lorasNoLoRA models to apply (path and scale).
sizeNoOutput resolution: 1280×720 (default: 1280×720).
num_inference_stepsNoQuality/speed trade-off (default: 30).
durationNoVideo length: 5 or 10 seconds (default: 5).
guidance_scaleNoPrompt adherence strength (default: 5).
flow_shiftNoMotion flow control (default: 5).
seedNoSet for reproducibility; -1 for random.

How to Use

  1. Write a prompt describing the scene, action, and style you want. Use the Prompt Enhancer for AI-assisted optimization.
  2. Add a negative prompt (optional) — specify elements to exclude.
  3. Add LoRAs (optional) — select LoRA models and adjust their scale. Check recommended LoRAs for inspiration.
  4. Set duration — choose 5 or 10 seconds.
  5. Adjust parameters (optional) — fine-tune guidance scale and flow shift.
  6. Click Run and wait for your video to generate.
  7. Preview and download the result.

How to Use LoRA

LoRA (Low-Rank Adaptation) lets you apply custom styles without retraining the full model.

  • Add LoRA: Enter the LoRA path and adjust the scale (0.0–1.0).
  • Recommended LoRAs: Check the interface for suggested LoRAs with preview images (e.g., Fire effects).
  • Scale adjustment: Higher scale means stronger style effect.

Best Use Cases

  • Rapid Prototyping — Quickly test video concepts with custom styles.
  • Visual Effects — Apply effects like fire, water, smoke with specialized LoRAs.
  • Social Media Content — Create stylized videos for TikTok, Reels, and Shorts.
  • Batch Processing — Generate multiple videos efficiently at scale.
  • Creative Exploration — Experiment with different LoRA combinations.

Pricing

DurationPrice
5 seconds$0.225
10 seconds$0.3375

Pro Tips for Best Quality

  • Be detailed in your prompt — describe subject, action, environment, lighting, and mood.
  • Use LoRAs to apply specific visual effects like fire, explosions, or weather.
  • Start with LoRA scale around 0.7–1.0 and adjust based on results.
  • Use negative prompts to reduce artifacts like blur, distortion, or unwanted motion.
  • Check recommended LoRAs for proven style effects.
  • Fix the seed when iterating to compare different LoRA combinations.

Notes

  • Processing time is optimized for speed — expect quick turnaround.
  • Higher num_inference_steps produces better quality but increases generation time.
  • Please ensure your prompts comply with content guidelines.