DeepInfra raises $107M Series B to scale the inference cloud — read the announcement

How to use CivitAI LoRAs: 5-Minute AI Guide to Stunning Double Exposure Art

Published on 2025.01.23 by Oguz Vuruskaner
How to use CivitAI LoRAs: 5-Minute AI Guide to Stunning Double Exposure Art

Double exposure is a photography technique that combines multiple images into a single frame, creating a dreamlike and artistic effect. With the advent of AI image generation, we can now create stunning double exposure art in minutes using LoRA models. In this guide, we'll walk through how to use the Flux Double Exposure Magic LoRA from CivitAI with DeepInfra's deployment platform.

What You'll Need

  • A CivitAI account (free)
  • A DeepInfra account (free)

Set Up a LoRA model

  1. Log in to your DeepInfra account
  2. Navigate to the Deployments section
  3. Click the "New Deployment" button in the top right corner
  4. Select "LoRA text to image" from the options

Once you navigate to this section, you will see a screen like this: Text-to-image LoRA Dashboard 5. Write your preferred model name. 6. We'll use FLUX Dev for this LoRA. You can keep it as it is. 7. Add the following CivitAI URL: https://civitai.com/models/715497/flux-double-exposure-magic?modelVersionId=859666 8. Click "Upload" button, and that's it. VOILA!

Once LoRA processing has completed, you should navigate to

 http://deepinfra.com/<your_name>/<lora_name>
copy

When you have navigated, you should view our classical dashboard, but with your LoRA name.

An Example: Cyberpunk Double Exposure

Now let's create some stunning visuals... Let's break down this stunning example:

bo-exposure, double exposure, cyberpunk city, robot face
copy

Example of AI-generated cyberpunk double exposure art

Key Takeaway ⚠️

Notice how we use BOTH bo-exposure and double exposure. This combination is crucial - using both terms together gives you the best double exposure effect.

More tutorials are on the way. See you in the next one 👋

Related articles
Qwen API Pricing Guide 2026: Max Performance on a BudgetQwen API Pricing Guide 2026: Max Performance on a Budget<p>If you have been following the AI leaderboards lately, you have likely noticed a name that keeps trading blows with the field&#8217;s proprietary leaders: Qwen. Developed by Alibaba Cloud, the Qwen model family has kept expanding at a rapid pace — the current lineup spans Qwen3, Qwen3.5, Qwen3.6, and the flagship Qwen3.8-Max, alongside dedicated coding [&hellip;]</p>
Kimi K2.6 Pricing Guide 2026: Compare Costs & Deployment StrategiesKimi K2.6 Pricing Guide 2026: Compare Costs & Deployment Strategies<p>Kimi K2.6 matters because it sits in a rare spot: open weights, broad provider availability, and a real spread in pricing and runtime performance depending on where you buy it. Artificial Analysis tracks the model across nine API providers, with blended pricing ranging from $1.15 to $2.15 per 1M tokens and major differences in throughput [&hellip;]</p>
DeepSeek V4 Pro (Max) API Benchmarks: Latency, Throughput & Cost AnalysisDeepSeek V4 Pro (Max) API Benchmarks: Latency, Throughput & Cost Analysis<p>About DeepSeek V4 Pro DeepSeek V4 Pro is a Mixture-of-Experts (MoE) language model with 1.6 trillion total parameters and 49 billion activated parameters, supporting a 1 million token context window. Designed for advanced reasoning, coding, and long-horizon agent workflows, it represents the fourth generation of DeepSeek&#8217;s flagship open-weight models. The model introduces a hybrid attention [&hellip;]</p>