Wan 2.1 V2V 720p LoRA Ultra Fast

Wan 2.1 V2V 720p LoRA Ultra Fast

Playground

Wan 2.1 V2V 720p LoRA Ultra-Fast converts videos to 720p with custom LoRA support and lets you generate unlimited AI videos. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Wan 2.1 V2V 720p LoRA Ultra Fast is a speed-optimized video-to-video model that transforms an input video using a text prompt while preserving the original motion and timing. Upload a source video, describe the desired style or changes, and tune strength to balance between “keep the original” and “apply the edit.” It supports up to 3 LoRAs for consistent styling, character look, or branded aesthetics—now with faster turnaround for rapid iteration at 720p.

Key capabilities

• Ultra-fast video-to-video transformation anchored to an input video (720p output)
• Prompt-guided edits while keeping motion continuity and pacing
• Strength control to balance preservation vs. transformation
• LoRA support (up to 3) for stable style/identity steering across clips
• Fine motion behavior tuning via flow_shift

Use cases

• Rapid 720p V2V restyling for social, ads, and creative iteration
• Apply a consistent “house style” across multiple clips using LoRAs
• Upgrade mood and color grade (cinematic, warm window light, neon, noir)
• Brand-safe refresh: keep composition and timing, update textures/colors/details
• Quick A/B testing by changing prompts, LoRAs, or seed

Pricing

Inputs

• video (required): source video to transform
• prompt (required): what to change and how the result should look
• negative_prompt (optional): what to avoid (artifacts, jitter, unwanted elements)
• loras (optional): up to 3 LoRA items for style/identity steering

Parameters

• num_inference_steps: sampling steps
• duration: output duration (seconds)
• strength: how strongly to transform the input video (lower = preserve more; higher = change more)
• guidance_scale: prompt adherence strength
• flow_shift: motion/flow behavior tuning
• seed: random seed (-1 for random; fixed for reproducible results)

LoRA (up to 3 items):

• loras: list of LoRA entries (max 3)

• path: owner/model-name or a direct.safetensors URL

• scale: LoRA strength

Prompting guide (V2V + LoRA)

A reliable structure is “preserve + edit + style”:

Template: Keep the original motion and timing. Apply [style/look] and adjust [lighting/colors/textures]. Keep faces natural and stable. Avoid flicker, warping, and jitter.

Example prompts

• Keep the original motion and composition. Apply a warm, cozy studio look with soft window light, visible dust particles, gentle film grain, and natural skin tones.
• Preserve camera motion and timing. Restyle the clip into a flat-color illustration look while keeping clean edges and stable shading.
• Keep the scene and movement. Shift the color grade to golden hour, add subtle bloom and soft shadows, maintain realism.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
  "num_inference_steps": 30,
  "duration": 5,
  "strength": 0.9,
  "guidance_scale": 5,
  "flow_shift": 3,
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/v2v-720p-lora-ultra-fast" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters