Home video studio: how to create AI videos on your own PC

How video can be created on your PC

A local video model consists of downloaded files that your computer uses to generate a sequence of frames. You provide a description, an initial image, or a motion sample, and the program computes the clip. Some models generate sound simultaneously.

Video requires more resources than a single image: the object must remain recognizable across many frames and move consistently. Therefore, a PC that can normally generate an illustration might not necessarily create a long scene quickly.

To launch it, you need software, a model, and compatible hardware. After downloading all components, a truly local setup can work without the internet. However, a paid API within the same software still connects to a server.

What tasks this is useful for

The table can be scrolled sideways →

This is useful for short inserts, mood clips, checking staging, advertising, and animation scene drafts. The easiest way to start is with a single action: a slight head turn, wind in fabric, or a smooth camera zoom.

If you need animation keys, a skeleton, and the ability to precisely change an arm arc in Maya, the generated MP4 won't provide that. It can serve as an idea search or material for editing. For the full creative process, see the comprehensive guide to making films and cartoons with AI.

What PC you need: from testing to serious work

VRAM — the dedicated video card memory. RAM — the system memory of the entire PC. When part of a model is moved between them, it is called offloading. This allows you to fit a larger model, but it is not a free speed boost.

The table can be scrolled sideways →

The tip lines are editorial starting guidelines. We have not compared all these configurations on our own test bench. For serious attempts, it is useful to have extra RAM and disk space: several models, intermediate files, and clip duplicates quickly take up space.

What about Radeon

ComfyUI supports AMD on compatible Windows/Linux configurations; there is a separate AMD Portable and file run_amd_gpu.bat. But software support does not yet mean support for all accelerators and third-party video nodes. Start with the built-in template and check the exact map using the current instructions. [2] [3]

LTX Desktop on Windows/Linux currently describes NVIDIA CUDA. Therefore, for Radeon, it should not be presented as a proven simple local route. The NVIDIA instruction with FlashAttention or other special optimizations may also not work for AMD.

First video: ComfyUI and Wan 2.2 5B

Let's start by animating a ready-made image. This makes it easier to evaluate motion: you already have a hero, composition, and lighting that you want to preserve. The image can be prepared using a separate guide from local images.

1. Install Comfy Desktop from the official website and choose Local. If you are already using ComfyUI, you don't need to create a second copy just for this guide. [1]
2. Open the template library and find Wan 2.2 5B. A Workflow is a ready-made work scheme; you don't need to assemble all the blocks manually.
3. Download the components from the hints. Choose specifically TI2V-5B. Other Wan variants have different files. [4]
4. Add the starting image to LoadImage. If this block is disabled in the template, enable it; in the current instruction, Ctrl+B is used for this.
5. Describe one movement and run Run / Queue. Keep the typical short template mode. Review the clip in full, not just its first frame.

Use the provided image as the first frame. The paper fox gently turns its head once and looks toward the warm window. Light rain continues, a few small ripples appear in the puddle. Locked camera, one continuous shot, restrained motion. Keep the fox design, colors and proportions consistent.

This is a fictional training scenario. For your first attempt, do not simultaneously add running, jumping, camera rotation, weather changes, and the appearance of a second character. If the result is bad, it will be unclear which specific part to fix.

The first result does not mean that all subsequent scenes will work with any settings. Increase the load gradually: first better motion, then a longer clip, then resolution.

Which local video models to choose

There is no universal winner here. For the first run, simplicity is important; for a scene with sound, audio support is key; for repeating motion, the appropriate mode is needed. The name 'video model' does not yet tell you whether its files are available for a home PC.

The table can be scrolled sideways →

What about the newer Wan 3.0? On the verified Comfy page, it is available via Cloud and Partner Nodes. This is not a local weight installation guide. You should not substitute a newer model number for Wan 2.2 in a home setup. [17]

LTX Desktop: a simpler interface for a powerful computer

If you don't like flowcharts, there is a separate LTX Desktop. Its standard local model is LTX-2.5 Fast; for some extension and rework operations, LTX-2.3 Fast is also used. The application itself is open-source and free. [6] [18]

1. Check your Windows/Linux/Mac requirements against the table above.
2. Download the installer via the official GitHub Releases link on the LTX page.
3. Complete the first launch and model download. You may need a Hugging Face account and to accept access terms for the weights.
4. Choose local execution and a local text encoder — the component that processes the description.
5. Try a short scene, check the sound and motion. Using API connection instead of local execution already uses a cloud server.

LTX-2.5 can create audio and video together. In the first sound test, it is easier to ask for rain, footsteps, or a ring than a complex dialogue between several people. Check Ukrainian pronunciation, dialogue content, and synchronization separately; we do not promise verified Ukrainian dubbing. [7]

A short continuous shot of a small paper fox waiting on a wet tram stop bench at dusk. The fox slowly looks toward an approaching warm light. Very gentle camera push-in. Quiet rain and a distant tram bell, no dialogue, no music. Preserve the paper folds and the fox silhouette throughout the shot.

Free and paid: what exactly you have to pay for

The table can be scrolled sideways →

Prices are provided to understand the difference in routes; check the current page before paying. An annual plan may show a lower 'per month' price but require a full year's prepayment. Do not compare these numbers as two identical monthly subscriptions. [16]

MiniMax H3 has free downloads of open weights, but commercial use of locally generated results requires a separate license. Cloud generation via Comfy has a different payment scheme and includes relevant commercial rights. This is a good example of why 'the file can be downloaded' does not mean 'you can do client advertising for free'. [15]

HunyuanVideo-1.5 has territorial restrictions, which are important for Ukrainians in the EU and UK. Also, the free nature of the LTX Desktop app does not cancel the LTX weight licenses. For work, check your specific model version, LoRA, and references.

Is there truly unlimited video?

In a standard local setup without a paid API, there is no cloud daily quota. However, there is your render queue, memory, time, and electricity costs. The license agreement may also have its own terms. Therefore, the label 'unlimited' does not mean infinite instant video and unrestricted rights.

Original exercise: one frame of a night city

Let's return to the paper fox. The goal is a short atmospheric shot for a screensaver, not a feature-length story in a single prompt.

1. Prepare the start. The fox reads well against the background, its paws do not merge with the bench, and there are no broken details. It is better to fix a bad starting frame before generating motion.
2. Add one action. The fox turns its head slightly. The camera is initially stationary.
3. Pick the takes. Review the middle and end of each. Reject those where the head shape changes or paws pass through the bench.
4. Complicate one thing. Either add slight camera movement or sound in a compatible model. Save the previous successful version.
5. Edit. Cut the best fragment, add a title and the necessary sound in an editor. To continue, use the selected frame or a special mode, rather than a random new prompt.

Evaluate the result based on the task. Three seconds of clean motion can be more useful than a longer clip where the character gradually turns into someone else. Upscaling does not fix incorrect motion.

Frame goal: Starting image: One main action: Camera movement or stationary camera: Duration and size from template: Sound needed or not: What must remain unchanged: Take selection criteria: Model, workflow, version, seed: Generation time and required edits:

For pros: motion, character consistency, and a controlled process

Wan Animate 2: motion from a video sample

Here, the input materials are— a character image and a driving video, i.e., a video with a motion sample. The official ComfyUI template transfers motion without mandatory prior skeleton extraction; the camera and environment can be described via text. [12]

Workflow: update ComfyUI → find Wan Animate 2 → download the specific template set → add a reference and a short motion sample → check the result. This is a heavier route with additional components. There is no reason to promise smooth operation on any 8GB card.

Wan Animate 2 has Base and Distill variants and uses Apache 2.0. Check character shape, floor contact, and hand/object overlapping. The resulting clip remains a video: the model does not return a ready FBX or an edited rig animation. [11]

References, first/last frame, and LoRA

The reference sets the appearance, while the first and last frames are the desired transition points in models that support this. This is not a guarantee of correct physics between them. Choose two compatible frames with the same aspect ratio and without drastic, accidental redesigning of the hero.

LoRA — additional setting for style, character, or a specific operation. The file must match the model, version, and sometimes the exact build. Pay extra attention to accelerated LoRAs: they may require different steps and parameters. Do not transfer settings from a neighboring family just because of a similar name.

Memory and reproducibility

Seed — the initial randomness number. Save it along with the exact model file, ComfyUI version, workflow, resolution, number of frames, and steps. This helps compare changes; different versions and devices can yield different results even with the same seed.

To save memory, first reduce the number of simultaneous variants, use the recommended short mode, and close other GPU programs. Then try compatible compressed weights and offload. Tiled VAE — decoding in parts — can help in supported schemes, but has its own trade-offs. Do not enable all optimizations at once: it makes it hard to understand the cause of an error.

What to check and how to fix errors

The table can be scrolled sideways →

A good test is short and specific. Record how long you waited, how many duplicates you discarded, and why. For real work, the time to a usable result matters, not just the speed of a single generation.

Start with an image and one movement. Once this cycle works, add the next tool for a specific need. From there, you can move on to planning a full story or return to preparing stronger starting frames. In the comments, write the exact card, RAM, model, and error — this makes it much easier to help.

Sources and preparation method

The original material was prepared based on official instructions, model cards, and licenses. We did not conduct a comparative test of all models on a single PC; selection advice is not such a test. We do not apply the requirements of one application to all implementations. Before installation, check the current template; before payment, check the tariff.