Replicate

Featured models

andreasjansson/cantable-diffuguesion

Bach chorale generation and harmonization

3.8K runs

sczhou/lednet

Joint Low-light Enhancement and Deblurring in the Dark

1.8K runs

stability-ai/stable-diffusion

A latent text-to-image diffusion model capable of generating photo-realistic images given any text input

65.1M runs

riffusion/riffusion

Stable diffusion for real-time music generation

7K runs

openai/whisper

Convert speech in audio to text

261.6K runs

lambdal/text-to-pokemon

Generate Pokémon from a text description

5.4M runs

Publish models

Define your model with Cog, an open-source tool to package a machine learning model in a container:

build:
  gpu: true
  system_packages:
    - "libgl1-mesa-glx"
    - "libglib2.0-0"
  python_version: "3.8"
  python_packages:
    - "torch==1.8.1"
predict: "predict.py:Predictor"

Then, push it to Replicate:

$ cog push

Your model can now be run in the cloud on the web and via an API.

Replicate is not open for everyone to create models yet. Join our waitlist and we'll notify you when we're ready for new users.

Run models from your code

Run open-source or private models with just a few lines of Python code:

import replicate
model = replicate.models.get("hooli/hotdog-detector")
model.predict(image=open("possible-hot-dog.jpg"))

Or query the API directly using your tools of choice:

curl -s -X POST \
-d '{"version": "...", "input": {"image": "https://example.com/image.jpg"}}' \
-H "Authorization: Token $REPLICATE_API_TOKEN" \
-H 'Content-Type: application/json' \
https://api.replicate.com/v1/predictions

Explore models or, learn more about our API

Machine learning doesn’t need to be so hard.

Run open-source models with a cloud API.