Replicate - Run AI with an API 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 real by pushing it to Replicate
Explore - Replicate Discover and share open-source machine learning models from the community that you can run in the cloud using Replicate
How does Replicate work? - Replicate docs 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-instruct or stability-ai sdxl, or you can publish and run your own models You can also push your own model to Replicate Refer to Pushing your own models Finding
LLaVA-13b: Large Language and Vision Model - 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 towards large language and vision models with GPT-4 level capabilities
About Careers – Replicate This goo was created with a model on Replicate: andreasjansson plasma We’re bringing AI to every software developer AI can do extraordinary things, but it’s still too hard to use
Pricing - Replicate You aren't limited to the public models on Replicate: you can deploy your own custom models using Cog, our open-source tool for packaging machine learning models Unlike public models, most private models (with the exception of fast booting fine-tunes ) run on dedicated hardware so you don't have to share a queue with anyone else
Set up a CI CD pipeline for your model - Replicate docs 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 test and deploy our production models
The FLUX family of models - API for FLUX Models - Replicate Run FLUX models with one line of code Try Pro for commercial projects, Dev for experiments, or Schnell for speed Fine-tune models with your own data Use Flux Fill, Flux Canny and Flux Depth controlnet models to edit and control image generation
GFPGAN by tencentarc - AI Face Restoration Model - Replicate Replicate demo for GFPGAN （You may need to login in to upload images~） GFPGAN aims at developing Practical Algorithm for Real-world Face Restoration If GFPGAN is helpful, please help to ⭐ the Github Repo and recommend it to your friends 😊 📧Contact If you have any question, please email xintao wang@outlook com or xintaowang