Learn how a downloadable open source AI model, local workflows, APIs, and official developer platforms work. We explain the hardware, setup, flexibility, and costs involved so you can choose the workflow that best fits your creative needs.
What’s inside this guide:
Open Source AI Models are downloadable models that let you generate images or videos for free, directly on your own hardware instead of relying entirely on online platforms. However, many releases commonly described this way are technically open-weight models: while the model files can be downloaded, the training data, complete source code, or usage rights may not be fully open. Always check the model’s license before using it commercially.
This guide provides a high-level overview of how to run an open-source AI model on your own computer rather than a detailed step-by-step installation tutorial. For deeper guidance on configuring tools such as ComfyUI, you can find many complete walkthroughs on YouTube.
ComfyUI is one of the most widely used interfaces for running image and video models locally. It uses a visual node-based system that lets you connect models, prompts, controls, upscalers, LoRAs, and processing steps into reusable workflows. It is powerful and flexible, but it requires more setup and technical involvement than a normal online generator.
Local generation depends heavily on your GPU and available VRAM. Some optimized image models can run with around 12–16 GB of VRAM, while larger models and higher resolutions require more. AI video generation is substantially more demanding and may require a high-end GPU, considerable system memory, optimized model versions, and long rendering times.
Always check the official model page before downloading. A model being available locally does not mean it will run comfortably on every computer.
Not every model has an official downloadable release. Visit our individual AI Image Model and AI Video Model pages to see which models support local use. When official model files are available, you will find the appropriate download link on the model page.
Running AI models locally can be highly rewarding. You can use downloadable models without ongoing generation fees, build your own workflows, modify workflows shared by other creators, and control much more of the creative process.
The downside is that this freedom requires more time, technical knowledge, capable hardware, and ongoing maintenance than using a normal online platform.
Creators often combine local models and all-in-one platforms because each option is useful for different jobs.
Local models give you more control and let you build your own workflows. They can be used for personal projects, experiments, high-volume creation, or professional work. However, many of the leading and most widely used models are paid models and generally offer better overall quality and consistency. Local models also require more setup, technical knowledge, and capable hardware.
All-in-one platforms are easier and faster to use. The models and tools are already prepared, so you can start creating without installing large files or building workflows yourself. You are partly paying for this convenience and saved time.
Many creators use only local models, while others prefer paid hosted models or all-in-one platforms. Some combine both, depending on the project, the quality they need, their budget, their hardware, and how much technical setup they want to manage.
There is no single correct setup. The best approach is the one that fits the way you like to work.
Many AI providers offer an official developer platform, often through an API. This allows a model to be connected to websites, applications, automation systems, ComfyUI workflows, or other compatible tools without relying on the provider’s standard creator interface.
Visit our individual AI Image Model and AI Video Model pages to find the official creator and developer options available for each model.
Developer access is commonly billed according to usage—for example by generation, processing time, resolution, video duration, or tokens. This can provide lower direct costs per generation, particularly when you mainly use one model and have an established workflow.
The trade-off is additional setup and management. You may need separate provider accounts, access credentials, individual billing arrangements, compatible software, and some understanding of model parameters, file handling, limits, and errors. Using several providers also means maintaining several accounts and workflows.
Direct developer access can be cheaper when you mainly use one or a few models and already have a working setup. You pay for the usage you need and have more control over how the model is used.
All-in-one platforms bring many models together in one interface and usually one billing system. They can be more practical and sometimes cheaper overall when you often switch between models and do not want to manage several accounts and workflows. The better option depends on which models you use, how often you use them, and how much setup you want to manage.
There is no single best way to use every AI model. Local workflows provide greater privacy and control, official developer platforms offer direct and flexible access, and all-in-one platforms make it easier to work with many models in one place.
The right choice depends on your hardware, technical experience, budget, how often you switch between models, and how you prefer to work.