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 👋
Best OpenClaw Alternatives: Hermes Agent, ZeroClaw & NemoClaw<p>OpenClaw has 362,000 GitHub stars and a skill marketplace with over 44,000 community contributions. That kind of adoption doesn’t happen by accident. Still, the same teams running it in production keep running into the same complaint: the model list is fixed. OpenClaw’s guided setup wizard covers OpenAI, Anthropic, Google, DeepSeek, and local Ollama. You can […]</p>
GLM-5.2 Model Overview and Integration Guide<p>GLM-5.2 is Z.AI’s flagship open-source large language model, engineered for long-horizon coding, agentic, and reasoning tasks. Designed for complex reasoning, advanced software engineering, and large-scale data processing, GLM-5.2 introduces a massive 1,048,576-token context window alongside significant architectural innovations. Hosted on the DeepInfra platform, GLM-5.2 provides developers with a high-performance, OpenAI-compatible interface. Whether you are building […]</p>
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>
© 2026 DeepInfra. All rights reserved.