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FriedrichAI: Offline AIEventsImage to Video, Video Morph added.
Game update

Image to Video, Video Morph added.

FriedrichAI: Offline AI · published 12 Jun 2026, 01:58 UTC

All eventsPlayers around this dateRead on Steam

FriedrichAI Video Generation Guide

Image-to-Video (I2V) and Morph-Style Clips

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1. WHAT IS IMAGE-TO-VIDEO (I2V)?

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Image-to-video (I2V) starts with an existing image and generates a short video clip from it.

Instead of creating a video entirely from text, FriedrichAI uses your image as the starting point and then applies motion or transformation based on your prompt.

Use I2V when you want to:

- animate a still image

- add movement to a character or scene

- create smoke, cloud, light, or atmosphere effects

- make surreal transitions

- create morph-style clips

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2. I2V COMMAND FORMAT

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Use this format:

/i2v "image path" "motion prompt"

Example:

/i2v "your_image_here.png" "slow cinematic motion, smoke drifting across the face, dramatic atmosphere"

Important:

- Put the image path in quotes, especially if it contains spaces

- Put the motion prompt in quotes

- When in doubt, quote both

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3. HOW TO USE I2V

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Step 1:

Choose an image you want to animate.

Step 2:

Use the /i2v command.

Step 3:

Provide a motion-focused prompt.

Step 4:

Wait for the clip to generate.

Step 5:

If needed, retry with small prompt changes.

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4. HOW TO WRITE A GOOD I2V PROMPT

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For I2V, do not just describe the image.

Describe what should happen in motion.

Weak prompt:

"a woman in a dark room"

Better prompt:

"soft smoke drifts around the subject, hair moves slightly, slow cinematic camera push, atmospheric lighting"

Good prompt structure:

subject motion + visual motion + transformation or atmosphere + style

Examples:

- "blue smoke swirls around the subject's face, slow cinematic motion, dramatic lighting"

- "clouds drift behind the character, subtle movement, surreal dreamlike atmosphere"

- "the subject remains still while fog rolls through the frame, slow moody camera movement"

Helpful motion words:

- swirls

- overtakes

- wraps around

- expands

- dissolves

- reforms

- reveals

- transforms

- drifts

- clears

- pulses

- rises

- spreads

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5. WHAT IS A MORPH-STYLE CLIP?

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A morph-style clip is a short transformation video.

This usually means one thing visually changes into another over a few seconds.

Examples:

- smoke covers a face and reveals a different face

- a figure dissolves into fog and reforms

- clouds overtake the head and clear to reveal a new person

- a robotic face shifts into a human face

Morph-style clips work best when treated as one short transformation, not a whole movie scene.

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6. MORPH COMMAND FORMAT

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Morph clips use the same I2V command:

/i2v "image path" "motion prompt"

Example:

/i2v "your_image_here.png" "thick smoke slowly overtakes the subject's head, the silhouette reshapes, then the smoke clears to reveal a different person, surreal cinematic transformation"

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7. HOW TO WRITE A GOOD MORPH PROMPT

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A good morph prompt usually includes:

1. the starting subject

2. what overtakes or transforms it

3. how the transformation happens

4. what is revealed at the end

5. the visual style

Best prompt structure:

subject + transformation + motion + reveal + style

Example formulas:

- "smoke rolls over the face, the features dissolve, then the smoke clears to reveal a different person"

- "clouds wrap around the head, the silhouette shifts, then the clouds break apart to reveal a new character"

- "black mist consumes the subject, reforms into a new shape, and clears to reveal a different face"

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8. GENERIC I2V EXAMPLES

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Example 1:

/i2v "your_image_here.png" "soft fog drifts through the scene, subtle cinematic motion, moody atmosphere"

Example 2:

/i2v "your_image_here.png" "blue smoke curls around the subject, hair moves slightly, slow surreal motion"

Example 3:

/i2v "your_image_here.png" "clouds move behind the figure, gentle movement, dreamlike lighting"

Example 4:

/i2v "your_image_here.png" "the camera slowly pushes in while light flickers across the scene, dramatic atmosphere"

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9. GENERIC MORPH EXAMPLES

==================================================

Example 1:

/i2v "your_image_here.png" "smoke slowly overtakes the subject's face, the head dissolves into cloud, then the smoke clears to reveal a different person, surreal cinematic transformation"

Example 2:

/i2v "your_image_here.png" "dark mist wraps around the figure, the silhouette reshapes, then the mist dissolves to reveal a new face"

Example 3:

/i2v "your_image_here.png" "clouds cover the subject's head and shoulders, distort the outline, then break apart to reveal a different character in the same pose"

Example 4:

/i2v "your_image_here.png" "a glowing vapor overtakes the face, reforms into a different structure, and clears to reveal a transformed version of the subject"

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10. TIPS FOR BETTER RESULTS

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- Use a clear starting image

- Keep the subject centered when possible

- Ask for one main action or transformation per clip

- Keep the motion simple and focused

- Think in short 5 to 10 second scenes

- Retry with small prompt changes

- Save the best clips and build longer sequences scene by scene

Best approach:

Do not try to generate a whole movie moment at once.

Generate one strong shot at a time.

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11. COMMON MISTAKES

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Mistake:

Only describing the image.

Better:

Describe the motion or transformation.

Mistake:

Asking for too many things at once.

Better:

Focus on one main visual event.

Mistake:

Using a weak or unclear starting image.

Better:

Use a clean image with a clear subject.

Mistake:

Expecting perfect results on the first try.

Better:

Treat it as experimental and iterate.

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12. QUICK REFERENCE

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Basic I2V:

/i2v "image path" "motion prompt"

Basic Morph:

/i2v "image path" "transformation prompt"

Simple I2V example:

/i2v "your_image_here.png" "soft smoke drifts around the subject, cinematic motion"

Simple Morph example:

/i2v "your_image_here.png" "smoke overtakes the face, reshapes the silhouette, then clears to reveal a different person"

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13. FINAL NOTE

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Image-to-video and morph-style generation are experimental features.

Best results usually come from:

- clear starting images

- strong motion prompts

- short scenes

- multiple attempts

- small prompt refinements

If you get a good result, save it and build from there.

That is the best way to use local video generation right now.

More from FriedrichAI: Offline AI

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