154
stars
127
commits
Jul 19, 2026
updated
README
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.
Contributors
Similar repos
154
stars
127
commits
Jul 19, 2026
updated
README
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.