We use essential cookies to make our site work. With your consent, we may also use non-essential cookies to improve user experience and analyze website traffic…

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
DeepInfra Launches Access to NVIDIA Nemotron Models for Vision, Retrieval, and AI SafetyDeepInfra Launches Access to NVIDIA Nemotron Models for Vision, Retrieval, and AI SafetyDeepInfra is serving the new, open NVIDIA Nemotron vision language and OCR AI models from day zero of their release. As a leading inference provider committed to performance and cost-efficiency, we're making these cutting-edge models available at the industry's best prices, empowering developers to build specialized AI agents without compromising on budget or performance.
Best API for Kimi K2.5: Why DeepInfra Leads in Speed, TTFT, and ScalabilityBest API for Kimi K2.5: Why DeepInfra Leads in Speed, TTFT, and Scalability<p>Kimi K2.5 is positioned as Moonshot AI’s “do-it-all” model for modern product workflows: native multimodality (text + vision/video), Instant vs. Thinking modes, and support for agentic / multi-agent (“swarm”) execution patterns. In real applications, though, model capability is only half the story. The provider’s inference stack determines the things your users actually feel: time-to-first-token (TTFT), [&hellip;]</p>
Qwen3.5 122B A10B API Benchmarks: Latency, Throughput & CostQwen3.5 122B A10B API Benchmarks: Latency, Throughput & Cost<p>About Qwen3.5 122B A10B Qwen3.5 122B A10B is Alibaba Cloud&#8217;s mid-tier multimodal foundation model, released in February 2026. It is a multimodal vision-language Mixture-of-Experts model supporting text, image, and video inputs, designed for native multimodal agent applications. It features 122 billion total parameters with 10 billion activated per token through a hybrid architecture that integrates [&hellip;]</p>