image-to-video

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass, no license.

Audit 0.4.1 · source sha 4599ef28a2a7 · 28 Oct 2026Report an issue or request a re-scan

• Publishermagentosh GitHub organizationOwner of the repository this skill is read from
• Source foldermagentosh/skills/tools/video/image-to-videoThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict4599ef28a2a7A new audit runs when the source changes
• Repository statusNot archivedLast push 13 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills,…

---
name: image-to-video
description: "Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image"
allowed-tools: Bash(belt *)
---

> **Install the belt CLI skill:** `npx skills add belt-sh/cli`

# Image to Video

Convert still images to animated videos via [inference.sh](https://inference.sh) CLI.

## Quick Start

> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)

```bash
belt login

# Generate a still image
belt app run falai/flux-dev-lora --input '{
  "prompt": "serene mountain lake at sunset, snow-capped peaks reflected in still water, golden hour light, landscape photography",
  "width": 1248,
  "height": 832
}'

# Animate it
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "gentle ripples on the lake surface, clouds slowly drifting, warm light shifting, birds flying in the distance",
  "image": "path/to/lake-image.png"
}'
```


## Model Selection

| Model | App ID | Best For | Motion Style |
|-------|--------|----------|-------------|
| **Wan 2.5 i2v** | `falai/wan-2-5-i2v` | Realistic motion, natural movement | Photorealistic, subtle |
| **WAN-I2V (Pruna)** | `pruna/wan-i2v` | Economical, fast, 480p/720p | Natural, efficient |
| **Seedance 2.0** | `bytedance/seedance-2-0` | Up to 1080p, sync audio, all input types | Versatile, high quality |
| **Seedance 2.0 Fast** | `bytedance/seedance-2-0-fast` | Fast variant, same capabilities | Versatile, fast |
| **Fabric 1.0** | `falai/fabric-1-0` | Cloth, fabric, liquid, flowing materials | Physics-based flow |
| **Grok Imagine Video** | `xai/grok-imagine-video` | General animation, text-guided | Versatile |

### When to Use Each

| Scenario | Best Model | Why |
|----------|-----------|-----|
| Landscape with water/clouds | **Wan 2.5 i2v** | Best at natural, realistic motion |
| Portrait with subtle expression | **Wan 2.5 i2v** | Maintains face fidelity |
| Product with fabric/cloth | **Fabric 1.0** | Specialized in material physics |
| Flag waving, curtain flowing | **Fabric 1.0** | Cloth simulation |
| Illustrated/artistic image | **Seedance 2.0** | Matches stylized content |
| General "bring to life" | **Seedance 2.0** | Good all-rounder, up to 1080p |
| Quick test/iteration | **Seedance 2.0 Fast** | Faster generation |

## Motion Types

### Camera Movement

| Movement | Prompt Keyword | Effect |
|----------|---------------|--------|
| Push in / Dolly forward | "slow dolly forward", "camera pushes in" | Increasing intimacy/focus |
| Pull out / Dolly back | "camera pulls back", "slow zoom out" | Reveal, context |
| Pan left/right | "camera pans slowly to the right" | Scanning, following |
| Tilt up/down | "camera tilts upward" | Revealing height |
| Orbit | "camera orbits around the subject" | 3D exploration |
| Crane up | "camera rises upward" | Grand reveal |
| Static | (no camera movement prompt) | Subject motion only |

### Subject Motion

| Type | Prompt Examples |
|------|----------------|
| Natural elements | "water rippling", "clouds drifting", "leaves rustling in breeze" |
| Hair/clothing | "hair blowing gently in wind", "dress fabric flowing" |
| Atmospheric | "fog slowly rolling", "dust particles floating in light beams" |
| Character | "person slowly turns to camera", "subtle breathing motion" |
| Mechanical | "gears turning", "clock hands moving" |
| Liquid | "coffee steam rising", "paint dripping", "water pouring" |

## Prompting Best Practices

### The Golden Rule: Subtle > Dramatic

AI video models produce better results with **gentle, subtle motion** than dramatic action. Requesting too much movement causes distortion and artifacts.

```
❌ "person running and jumping over obstacles while the camera spins"
✅ "person slowly walking forward, gentle breeze, camera follows alongside"

❌ "explosion with debris flying everywhere"
✅ "candle flame flickering gently, warm ambient light shifting"

❌ "fast zoom into the eyes with dramatic camera shake"
✅ "slow dolly forward toward the subject, subtle focus shift"
```

### Prompt Structure

```
[Camera movement] + [Subject motion] + [Atmospheric effects] + [Mood/pace]
```

### Examples by Scenario

```bash
# Landscape animation
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "gentle camera pan right, water reflecting moving clouds, trees swaying slightly in breeze, warm golden light, peaceful and slow",
  "image": "landscape.png"
}'

# Portrait animation
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "subtle breathing motion, slight head turn, natural eye blink, hair moving gently, soft ambient lighting shifts",
  "image": "portrait.png"
}'

# Product shot animation
belt app run bytedance/seedance-2-0 --input '{
  "prompt": "slow 360 degree orbit around the product, gentle spotlight movement, subtle reflections shifting, premium product showcase, smooth motion",
  "image": "product.png",
  "generate_audio": true
}'

# Fabric/cloth animation
belt app run falai/fabric-1-0 --input '{
  "prompt": "fabric flowing and rippling in gentle wind, natural cloth physics, soft movement",
  "image": "fabric-scene.png"
}'

# Architectural visualization
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "slow dolly forward through the entrance, slight camera tilt upward, ambient light filtering through windows, dust particles in light beams",
  "image": "building-interior.png"
}'
```

## Duration Guidelines

| Duration | Quality | Use For |
|----------|---------|---------|
| 2-3 seconds | Highest quality | GIFs, looping backgrounds, cinemagraphs |
| 4-5 seconds | High quality | Social media po

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

npx skills add inference-sh/skills@ai-video-generation
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@p-video
npx skills add inference-sh/skills@video-prompting-guide
npx skills add inference-sh/skills@prompt-engineering

git clone https://github.com/magentosh/skills
git -C skills checkout 4599ef28a2a7

Works in

1. 2026-10-28
   ✓SAFE B 89 / 100

   first audit · source 4599ef28a2a7

Questions about image-to-video

• github.com/magentosh/skills/tree/main/tools/video/image-to-video — the audited source at commit 4599ef28a2a7 and every finding aboveObserved · 28 Oct 2026

Spotted something wrong? Report a correction · Methodology