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

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.
Once you navigate to this section, you will see a screen like this:
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>
When you have navigated, you should view our classical dashboard, but with your LoRA name.
Now let's create some stunning visuals... Let's break down this stunning example:
bo-exposure, double exposure, cyberpunk city, robot face

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 👋
Kimi K3: Comprehensive Model Analysis & API Provider Comparison<p>Moonshot AI’s Kimi K3 represents a significant leap in open-weight AI model development. Released on July 16, 2026, this 2.8-trillion-parameter reasoning model has quickly become a focal point for developers seeking frontier-level intelligence with the flexibility of open weights. This analysis evaluates Kimi K3’s technical specifications, benchmark performance, and compares the leading API providers offering […]</p>
vLLM vs SGLang: Performance, Features & Deployment Compared<p>Somebody on your team read a benchmark post, and now there’s a ticket to migrate the inference stack. That’s how most vLLM vs SGLang decisions start. A published test reports a 29 percent throughput gap, the number lands in Slack, and two weeks later you’re debugging kernel version conflicts at midnight while p99 latency sits […]</p>
Model Distillation Making AI Models EfficientAI Model Distillation Definition & Methodology
Model distillation is the art of teaching a smaller, simpler model to perform as well as a larger one. It's like training an apprentice to take over a master's work—streamlining operations with comparable performance . If you're struggling with depl...© 2026 DeepInfra. All rights reserved.