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 👋
Step 3.7 Flash is Live on DeepInfra: An Agentic, Multimodal Model Built for ProductionStepFun's Step 3.7 Flash is now live on DeepInfra. It's a 198B-parameter sparse MoE vision-language model with just ~11B active parameters per token, a 256K context window, and three selectable reasoning levels—purpose-built for high-throughput agentic workflows that combine perception, search, and reasoning.
Qwen3.5 397B A17B API Benchmarks: Latency, Throughput & Cost<p>About Qwen3.5 397B A17B Qwen3.5 397B A17B is Alibaba Cloud’s largest and most capable multimodal foundation model, released in February 2026. It features a hybrid Mixture-of-Experts (MoE) architecture with 397 billion total parameters and 17 billion active parameters per inference pass, utilizing 512 experts with a routing mechanism selecting a subset per token. This sparse […]</p>
Qwen3 Coder 480B A35B API Benchmarks: Latency & Cost<p>About Qwen3 Coder 480B A35B Instruct Qwen3 Coder 480B A35B Instruct is a state-of-the-art large language model developed by the Qwen team at Alibaba Cloud, specifically designed for code generation and agentic coding tasks. It is a Mixture-of-Experts (MoE) model with 480 billion total parameters and 35 billion active parameters per inference, enabling high performance […]</p>
© 2026 DeepInfra. All rights reserved.