All the latest models are on Replicate. They’re not just demos — they all actually work and have production-ready APIs. AI shouldn’t be locked up inside academic papers and demos. Make it …

AI models to restore images by fixing blur, noise, and low resolution. Remove noise and compression artifacts with advanced AI image restoration.

Discover and share open-source machine learning models from the community that you can run in the cloud using Replicate.

LLaVA-13b on Replicate: A powerful multimodal AI model for language and vision tasks. Run visual question answering, image captioning, and more with ease Visual instruction tuning …

This model costs approximately $0.013 to run on Replicate, or 76 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with …

In this guide, you’ll set up a CI/CD pipeline for your Cog model using GitHub Actions and github.com/replicate/cog-safe-push, an open-source project we use internally at Replicate to …

Google’s Imagen 4. Imagen 4; Imagen 4 Ultra; Imagen 4 Fast; High-quality image generation model featuring: Fine detail rendering: Superior clarity for intricate elements like fabrics, water …

You can use the API or the web interface to run any public model on Replicate from your own code. It can be an open-source model created by someone else, like meta/meta-llama-3-70b …

May 22, 2025 · Train and deploy a DreamBooth model on Replicate . With just a handful of images and a single API call, you can train a model, publish it to Replicate, and run predictions …

LoRAs were first popularized for fine-tuning Stable Diffusion and SDXL, and Replicate was one of the first places to support them. By training a LoRA on a specific style or dataset, users could …