langchain/docs/ecosystem/replicate.md

Replicate

This page covers how to run models on Replicate within LangChain.

Installation and Setup

• Create a Replicate account. Get your API key and set it as an environment variable (REPLICATE_API_TOKEN)
• Install the Replicate python client with pip install replicate

Calling a model

Find a model on the Replicate explore page, and then paste in the model name and version in this format: owner-name/model-name:version

For example, for this flan-t5 model, click on the API tab. The model name/version would be: daanelson/flan-t5:04e422a9b85baed86a4f24981d7f9953e20c5fd82f6103b74ebc431588e1cec8

Only the model param is required, but any other model parameters can also be passed in with the format input={model_param: value, ...}

For example, if we were running stable diffusion and wanted to change the image dimensions:

Replicate(model="stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf", input={'image_dimensions': '512x512'})

Note that only the first output of a model will be returned. From here, we can initialize our model:

llm = Replicate(model="daanelson/flan-t5:04e422a9b85baed86a4f24981d7f9953e20c5fd82f6103b74ebc431588e1cec8")

And run it:

prompt = """
Answer the following yes/no question by reasoning step by step.
Can a dog drive a car?
"""
llm(prompt)

We can call any Replicate model (not just LLMs) using this syntax. For example, we can call Stable Diffusion:

text2image = Replicate(model="stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",
                       input={'image_dimensions'='512x512'}

image_output = text2image("A cat riding a motorcycle by Picasso")