image-to-video
WAN 2.1 VACE is an all-in-one video model supporting Reference-to-Video (Image-to-Video), V2V, Masked V2V and Move/Swap/Animate capabilities. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
Your request will cost $0.3 per run.
For $10 you can run this model approximately 33 times.
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ExamplesView all
README
Wan 2.1 14B VACE — wavespeed-ai/wan-2.1-14b-vace
Wan 2.1 14B VACE is a versatile, production-oriented video generation and editing model that supports multi-input workflows. You can provide a text prompt plus up to 5 reference images, and optionally add a source video, masks, or start/end frames to guide motion, structure, and edits. It also includes multiple task modes (e.g., depth) for more controlled video understanding and generation.
Key capabilities
- Prompt-driven video generation with multi-modal controls
- Up to 5 reference images to guide identity, style, wardrobe, or scene details
- Optional video input for video-to-video transformation workflows
- Mask support (mask_video / mask_image) for region-based edits
- First/last frame guidance (first_image / last_image) for better continuity
- Task modes (e.g., depth) for structured control and more predictable results
Use cases
- Reference-guided video generation (character/style consistency across shots)
- Video editing with masks (replace background, remove objects, localized changes)
- Start-to-end guided storytelling using first_image + last_image
- Video-to-video restyling (apply a new look while keeping motion)
- Controlled motion and composition using task settings (e.g., depth)
Pricing
| Mode | Size | Price per 5s video |
|---|---|---|
| Standard | 832×480 | $0.30 |
| Fast Mode | 832×480 | $0.15 |
| Standard | 1280×720 / 720×1280 | $0.40 |
| Fast Mode | 1280×720 / 720×1280 | $0.25 |
Longer durations are billed in steps based on duration.
Inputs
- prompt (required): what should happen in the video
- images (optional): up to 5 reference images
- video (optional): source video for video-to-video workflows
- mask_video (optional): video mask for localized video edits
- mask_image (optional): image mask for localized edits
- first_image (optional): starting frame guidance
- last_image (optional): ending frame guidance
- negative_prompt (optional): what to avoid
Parameters
- task: control mode selector (e.g., depth)
- duration: video length (e.g., 5s)
- size: output resolution (e.g., 832×480, 1280×720)
- num_inference_steps: sampling steps
- guidance_scale: prompt adherence strength
- flow_shift: motion/flow behavior tuning
- context_scale: reference/context strength tuning
- seed: random seed (-1 for random; fixed for reproducibility)
- enable_fast_mode: speed-optimized mode (if available in your UI)
Prompting guide (multi-reference + optional masks)
A reliable structure:
- Define the main subject and action
- Specify environment and camera beats
- Assign roles to references (identity/style/outfit/background)
- If using masks, clearly state what changes inside vs. outside the mask
- If using first/last frames, describe how the motion should transition between them
Template: Use image 1 for identity, image 2 for outfit, image 3 for style. Generate a 5-second clip where [action]. Keep identity consistent. If mask is provided, change only the masked region to [edit], keep everything else unchanged.
Example prompts
- An elegant lady carefully selects bags in a boutique. Soft natural lighting, shallow depth of field, subtle camera push-in, gentle hand movements, realistic fabric and leather textures.
- Use the reference images for the same character and outfit. Walk through a luxury store aisle, turn to examine a handbag, warm highlights on leather, calm cinematic pacing.
- If mask is provided: Replace only the masked background with a modern boutique interior, keep the subject unchanged, match lighting and shadows.