Replicate

Featured models

stability-ai/stable-diffusion

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

24.9M runs

openai/whisper

Transcribe speech with openai/whisper

85.2K runs

prompthero/openjourney

Stable Diffusion fine tuned on Midjourney v4 images.

435.4K runs

tommoore515/material_stable_diffusion

Stable diffusion fork for generating tileable outputs

181.2K runs

lambdal/text-to-pokemon

Generate Pokémon from a text description

4.5M runs

nightmareai/real-esrgan

Real-ESRGAN with optional face correction and adjustable upscale

662.4K 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.