How to generate AI videos in 2025 with ComfyUI & Stable Diffusion
In this guide, you'll discover how to go from an idea to a usable AI video by combining
Stable Diffusion, ComfyUI workflows, Checkpoints,
LoRA and resources from Civitai and Hugging Face.
We'll talk about ComfyUI SDXL text-to-image (also called t2i) and
ComfyUI WAN2.2 image-to-video workflow (also called i2v) to create coherent,
monetizable videos.
⭐ Understand the basics: deep learning, Model, Checkpoint, LoRA
⭐ Learn how to use ComfyUI SDXL text-to-image / ComfyUI SDXL t2i
⭐ Turn an image into a video with a ComfyUI WAN2.2 i2v workflow
⭐ Prepare AI videos for Instagram, YouTube, Fanvue, OnlyFans…
Goal: give you a clear view, from complete beginner to creator who wants a reliable workflow to generate AI videos.
The basics to understand before generating AI videos.
Before launching your first ComfyUI workflow, it's important to understand four concepts:
deep learning, the workflow, the Checkpoint and the LoRA.
You don't need to be a data scientist, but a few simple landmarks will help you avoid a lot of mistakes.
Deep learning
Deep learning is a branch of artificial intelligence that allows a machine to learn from very large
amounts of data, a bit like the human brain. It relies on artificial neural networks made of several layers,
capable of analyzing images, text, sound or video. The more examples you feed it, the more accurate the
model becomes in its predictions. This is the technology that makes it possible today
to generate realistic images with Stable Diffusion or AI videos with ComfyUI workflows
like WAN2.2: without deep learning, modern AI video generation wouldn't exist.
Workflow (in ComfyUI)
A workflow is a structured sequence of steps that automates the entire generation
process, from input (text or image) to output (image or video). In ComfyUI,
a workflow links blocks such as the Checkpoint, LoRA, resolution,
generation settings and video duration. Instead of reconfiguring everything each time, you run
your workflow and only change the essentials: prompt, source image, a few parameters. A well-designed
ComfyUI WAN2.2 i2v workflow saves you hours while keeping the result stable and coherent.
Checkpoint & LoRA
The Checkpoint is the file that contains what the AI model has learned (faces, styles,
textures, lighting, etc.). Some creators sometimes talk about "Flux", "SDXL",
"Pony", "WAN" and many others when they refer to the Checkpoint they use
in a workflow, but the key thing to remember is that the Checkpoint defines the global style of the image
or video. The LoRA is a small module (file) that you add on top of the Checkpoint to teach
it a specific style or character. Checkpoints and LoRA are mainly found on Civitai and
Hugging Face and then plugged into your ComfyUI workflows, but it's also very easy to create
a custom LoRA to specialize a given Checkpoint.
Text-to-image, image-to-video: how everything fits together.
Most creators combine two steps: first generating high-quality images, then animating them into video.
This is where ComfyUI SDXL text-to-image (t2i) workflows and the
ComfyUI WAN2.2 image-to-video (i2v) workflow become extremely powerful.
Text-to-image (t2i) with SDXL
With a ComfyUI SDXL text-to-image workflow, you start from a simple text prompt to generate
a high-resolution image based on an SDXL Checkpoint. You can choose a realistic, stylized or artistic Checkpoint,
add one or more LoRA to refine the style, then run the workflow to obtain clean images that will serve as the
base for your AI video.
Image-to-video (i2v) with WAN2.2
Once the image is generated, you send it into a ComfyUI WAN2.2 i2v workflow. This workflow
creates a video sequence from that image: camera movements, subtle character micro-movements, light variations…
The ComfyUI WAN2.2 image-to-video workflow is designed to stay stable from frame to frame,
which avoids faces morphing and typical artifacts you often see when starting out.
Why they work so well together
By combining a good SDXL Checkpoint, one or more targeted LoRA, a
ComfyUI SDXL text-to-image workflow for the image and a
ComfyUI WAN2.2 image-to-video workflow for the animation, you get very fine control over
both style and motion. This lets you create coherent AI videos aligned with your universe, ready to publish
on Instagram, YouTube, Fanvue, OnlyFans and other platforms.
Practical steps to generate your first AI video.
Here's a simple scenario to go from zero to a first AI video using classic resources
(Stable Diffusion, SDXL, Checkpoints, LoRA) and a ComfyUI WAN2.2 workflow.
1. Choose Checkpoint & LoRA
Start by selecting a Stable Diffusion or SDXL (Stable Diffusion XL) Checkpoint that matches
your style on Civitai or Hugging Face. Then add one or two LoRA
to refine a character, a look or a type of rendering. This "model + Checkpoint + LoRA" trio is what will define
the visual identity of your content.
2. Generate the base image
Use a ComfyUI SDXL text-to-image workflow to create a high-quality image from a detailed prompt.
Adjust resolution, composition and framing until you get an image that could already stand on its own as a final
visual: this is your base for the video.
3. Move to video with WAN2.2
Load this image into your ComfyUI WAN2.2 image-to-video workflow. Choose the duration
(for example 6 to 10 seconds), the type of motion (subtle camera movements, character breathing,
rotation, etc.) and run the generation. Check the result, adjust the Checkpoint or LoRAs if needed,
then export your video in the format best suited to your target platform.
Save time with a ready-to-use WAN2.2 workflow.
You can build everything by hand, or start from an already structured workflow. That's where a
ComfyUI WAN2.2 image-to-video workflow designed for production really makes a difference:
less time tweaking, more time creating.
WAN 2.2 for ComfyUI – Best Video Workflow
The WAN2.2 workflow I offer is designed as a production tool: clear architecture, organized nodes,
parameters tested in real conditions, compatibility with Checkpoints and LoRA from
Civitai and Hugging Face. It is built to turn images generated by
Stable Diffusion and SDXL into smooth, coherent videos ready to be monetized.
FAQ – Common questions about generating AI videos.
A few quick answers to help you see more clearly before getting started.
Do I need to be a technical expert to generate AI videos?
No. You need to understand a few basic concepts (workflow, Checkpoint, LoRA, prompt) and follow a clear guide.
With a well-designed ComfyUI workflow, you can generate AI videos as a creator without being an AI engineer.
The longest part is often the installation: once everything is in place, you just rerun your workflow by changing
prompts and images.
Where can I find quality Checkpoints and LoRA?
The two main reference platforms are Civitai and Hugging Face. You'll find
Stable Diffusion and SDXL Checkpoints for all styles there, plus a huge library of LoRA. The idea is to start
with a few highly rated models, then refine based on your niche.
Can I monetize videos generated with AI?
Yes, as long as you respect the terms of use of the platforms and models you use. Many creators already publish
AI videos on Instagram, YouTube, Fanvue, OnlyFans, VirtuaVixen and other platforms. The key is to aim for a clean
enough result for audiences to embrace it, and to have a stable workflow so you can produce regularly.
What's the difference between building my own workflow and using a ready-made one?
Building your own workflow gives you total freedom, but requires technical skills you may not have yet, plus a lot
of time and testing. A ready-to-use workflow like
WAN 2.2 for ComfyUI – Best Video Workflow
lets you start directly from a solid, structured and documented base. You can then modify it at your own pace,
but from day one you already have a tool you can rely on in daily use.
Related resources
Explore other resources to master AI video generation with ComfyUI:
