AI Video Production with FramePack F1

A Ford GT Teaser as a Proof of Concept for Local Video AI

As part of our internal development work in AI-based content production at Visiorize, we launched an experiment: Can a locally running image-to-video model like FramePack F1 be used for fast and flexible video content creation—entirely offline, without cloud dependency? Our subject: A generative Ford GT teaser, created frame by frame with FramePack F1.

Experiment Goals

We aimed to explore:

• How well does standalone video production work without an internet connection?

• How quickly can usable results be generated?

• How precisely can motion be controlled via prompts?

• Is FramePack F1 suitable for producing promotional or product content?

  
  

What is FramePack F1?

FramePack F1 is a locally running, autoregressive image-to-video model that generates short to medium-length video sequences (up to 2 minutes) from a single image. It relies on frame prediction and operates entirely on local GPUs, without a server-based pipeline.

Key advantages:

• No upload of sensitive data

• No delays from cloud queues

• Independence from platforms and availability

• High speed with optimized local hardware

Our Findings

Through our Ford GT project, we thoroughly tested FramePack F1’s strengths and weaknesses:

Aspect	Insight
Prompt-based Motion	Motion is difficult to control precisely. Prompts are interpreted vaguely, leading to random motion dynamics.
Camera Control	Limited implementation. Movements like zoom, orbit, or dolly are rarely triggered intentionally. Clear camera control tools are lacking.
Detail Quality	Image quality is impressive initially but degrades noticeably after ~6–10 seconds.
Lighting Behavior	Inconsistent brightness, light sources, and shadows cause unwanted flickering or abrupt changes.
Motion Stability	Motions can appear choppy or repetitive. Longer clips often have illogical or non-fluid transitions.
Speed & Output	Local rendering speed is a clear advantage. Results are possible within minutes, depending on GPU.

Example Video: Ford GT Teaser (FramePack F1)

AI-generated video with FramePack F1

Comparison: Other Video AI Models

To contextualize FramePack F1, we explored leading cloud-based models, which often offer greater control over motion and visuals. Here’s a quick comparison (one-shot tests):

Kling 1.6 / 2.0

Alibaba Research’s model excels at clear camera movements and physically accurate scenes. Kling 2.0 stands out for clean tracking and realistic object placement, ideal for cinematic shots.

Kling 1.6

Kling 2.0

Dream Machine

An advanced text-to-video model generating realistic 5-second videos with natural motion and physical accuracy. It offers fast processing and a user-friendly interface, perfect for short, high-quality clips.

Dream Machine

Runway Gen-2

A multimodal model creating videos from text, images, or existing videos. It supports modes like style transfer and storyboard creation, making it versatile for creative applications.

Runway Gen-2

WAN 2.1

Generates 8-second 720p videos from text prompts with improved real-world motion and physical consistency. Our one-shot test was underwhelming, but it still offers cool effects.

WAN 2.1

Veo 2

Produces 8-second 720p videos from text prompts with enhanced motion and lifelike visuals. However, access is limited, and our tests faced frequent outages and delays.

Challenges with Cloud-Based Solutions

While cloud-based AI models deliver impressive results, they come with challenges:

• Cost: Video generation is iterative, and costs can escalate quickly.

• Access & Availability: Some models are restricted or require special access.

• Performance Bottlenecks: High demand can cause delays or outages, extending production time.

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These factors should guide tool selection for video production.

Conclusion

For Visiorize, FramePack F1 is a promising tool for experimental video production, especially when speed, data control, and creative freedom are priorities. Local processing offers significant advantages in data privacy, flexibility, and pipeline integration.

However, its limitations are clear:

• For promotional videos requiring precise camera or object movements, or

• For narrative content focused on realism and continuity,

  
  

FramePack F1 is currently only partially suitable. Its visual quality is impressive but not stable enough for consistently clean sequences with clear visual logic.