Build a reusable AI aesthetic with Venice: from reference images to video

Why consistency is the real challenge

The hard part of AI content is not operating the tools. It is deciding exactly what you want your work to look like and then recreating that look reliably across many pieces. This guide solves that by building a reusable prompt template you can apply to images and video.

The full workflow uses three model types inside Venice: a text model to analyze and write prompts, an image model to generate visuals, and a video model to animate them. No design experience is required, and you do not need prior Venice experience to follow along.

Find an aesthetic to imitate

Start by collecting samples of a look you want to reproduce. Browse creators on platforms like Instagram and notice how each one keeps a consistent style across very different images and videos.

Screenshot a batch of images that share that style. Keep the screenshots reasonably uniform, since wildly inconsistent samples will confuse the model and produce random results. A coherent set gives the AI a clear target to learn from.

Feed reference images to a vision model

Open the Venice chat window and attach your screenshots by clicking the lightning button and selecting attach image or document. To analyze pictures, you need a text model with the vision tag, which means the model can actually see the images you upload.

In auto mode, Venice picks a vision-capable model that is free with your account and fully private. Not every model has vision, so if you choose manually, look for the vision tag and a model that needs no credits. If the free results disappoint you, switch to a proprietary vision model, which costs a few credits but often returns better analysis. With your images attached, prompt it:

Analyze the style and aesthetic of these images and create a default template image generation prompt to imitate it.

Turn the analysis into your own template

The model returns a template prompt you can save and reuse. From here you can either copy it and start generating, or keep the conversation going to shape a specific scene. For example:

I want to see a fashion model on Mars in this aesthetic, generate the prompt.

Then make the look your own. Layer in personal details so your work stands out instead of echoing the references. The video's creator adds touches like a hot pink palette, large planets in the sky, and electric sound waves:

Now we need to make this our own. I like a hot pink aesthetic, big planets in the sky, and electric sound waves.

Keep refining the prompt until you have something you are happy to build on.

Generate images and compare models

Once your prompt is ready, click Create Image. Venice drops the prompt into the image generation view and switches you to image models. Models marked with a green coin icon cost credits, so for a default run pick one of the no-cost options, such as Z Image Turbo.

Set how many variants you want (four gives you several options at once), then open the settings toggle to choose resolution. Picking an Instagram preset sizes the output for that platform, and you can hide the watermark. Prompt enhancement is optional, and there is an image style selector if you want to experiment, though a strong prompt already carries most of the style.

It is worth comparing models. The video tests a paid, state-of-the-art option (Nano Banana Pro, roughly 72 credits or 72 cents for four images) against the free open-source result and finds the quality roughly comparable. Trying another model like Chroma produced similar output, which is a sign the prompt itself is doing the heavy lifting.

Convert your favorite image into video

Pick the image you like best and click Create Video. This opens the video model selector with image to video and text to video options. Since you are starting from an existing image, stay on image to video. All video generation on Venice requires credits.

Venice offers open-source, uncensored, and frontier proprietary video models, including Cling, Veo, and Sora. Pricing varies by model and clip length. As examples from the video: Vidu Q3 at eight seconds runs about 156 credits ($1.56), shorter clips cost less, and for most models raising the resolution does not change the price, so higher resolution is usually worth it. Veo 3.1 Fast at eight seconds and 1080p came to 132 credits, and an open-source option, Wan, offered a 10 second clip at 165 credits. The practical way to learn the trade-offs is to experiment with them.

Write a stronger video prompt with AI

You can leave a simple default prompt like "bring this image to life" and the model will add motion on its own. For more control, use a text model to write the prompt for you.

Start a new chat, select a vision text model such as Qwen3 VL, paste your image, and ask it to describe a motion concept:

I want to turn this image into a video. Make a creative prompt for me based on what you see.

Edit the result to direct the action you want, for example having the moon grow in size as the subject strides forward. Copy that prompt back into the Create Video panel, confirm your model and length, and generate. The finished clip carries the motion and details you specified.

The complete workflow

The full loop: screenshot reference images, have a Venice vision model turn them into a default prompt you can save, then ask for the exact scene you want. Click Create Image to generate from that prompt, choose your favorite result, and click Create Video to animate it with the model you prefer.

From there you can save, regenerate, or keep creating with the same template, which is what keeps your output consistent over time. If you get stuck, the Venice Discord community is active and happy to help with creative questions.

Key takeaways

• A vision-capable text model can convert reference images into a reusable prompt template that anchors your aesthetic.
• Adding personal details to the template is what makes your output distinct rather than generic.
• Free open-source image models can match paid frontier models when your prompt is strong, so compare before spending credits.
• All video generation costs credits; learn the model and length pricing by experimenting, and use a text model to write richer video prompts.