---
title: Dream Motion Pro - Wan 2.2
author: dream2589632147
emoji: 🎬
colorFrom: indigo
colorTo: pink
sdk: gradio
sdk_version: 6.0.1
app_file: app.py
pinned: false
short_description: Fast Wan 2.2 image-to-video with first/last frames
models:
  - TestOrganizationPleaseIgnore/WAMU-Merge-MotionBoost_WAN2.2_I2V_LIGHTNING
---

# Dream Motion Pro — Wan 2.2

Create cinematic videos from a single image or guide the animation with both a **first frame and a last frame**.

## Main features

- Single-image Image-to-Video mode
- First + Last Frame mode
- Wan 2.2 14B Lightning/MotionBoost checkpoint
- FP8 transformer quantization
- AOTI-compiled transformer blocks for ZeroGPU
- Fast, Balanced and High Quality profiles
- Natural, Cinematic, Portrait, Product Ad, Dynamic and Anime motion styles
- Identity-preservation prompt controls
- Automatic professional prompt enhancement
- Landscape, portrait, square and social-media aspect ratios
- Optional RIFE interpolation to 32 or 64 FPS
- Seed control and repeatable generations
- Extract any generated video frame and use it as the next first image

## Space variables

Add these in **Settings → Variables and secrets**:

| Variable | Required | Purpose |
|---|---:|---|
| `REPO_ID` | Recommended | Model repository. Default: `TestOrganizationPleaseIgnore/WAMU-Merge-MotionBoost_WAN2.2_I2V_LIGHTNING` |
| `ENABLE_AOTI` | No | Set to `false` only for troubleshooting. Default: `true` |
| `AOTI_REPO` | No | AOTI package repository |
| `ENABLE_VAE_TILING` | No | Set to `true` if VAE memory becomes a problem |
| `MAX_GPU_SECONDS` | No | Maximum requested ZeroGPU duration. Default: `300` |
| `RUNPOD_URL` | No | Shows a RunPod button beneath the generated video |
| `SUPPORT_URL` | No | Shows a support/PayPal button beneath the generated video |

## Recommended defaults

- **Quality Mode:** Balanced
- **Duration:** 3.5 seconds
- **Output FPS:** 16
- **Steps:** 6
- **Guidance:** 1.0 / 1.0
- **Scheduler:** UniPCMultistep
- **Flow Shift:** 3.0

Lightning checkpoints usually perform best at approximately **4–8 inference steps**. Raising the steps or guidance unnecessarily increases GPU time and may reduce motion quality.

## First + Last Frame mode

Both images are normalized to the same dimensions. The last image is center-cropped to match the prepared first frame so the pipeline receives a consistent resolution.

This release intentionally supports **one image** or **first + last frames only**. It does not include a three-frame mode.

## Notes

- 32 and 64 FPS outputs use RIFE after the base 16 FPS generation.
- Higher FPS improves playback smoothness but does not create additional semantic motion.
- A clear, high-resolution source image and one main action generally produce the most stable result.
- Generate multiple seeds when choosing a final result.