Replicate Replicate Block

Blocks for running any AI model hosted on the Replicate platform.

Replicate Model

What it is

Run Replicate models synchronously

How it works

This block runs any model hosted on Replicate using their API. Specify the model name in owner/model format, provide inputs as a dictionary, and optionally pin to a specific version.

The block waits for completion and returns the model output along with status information.

Inputs

Input	Description	Type	Required
model_name	The Replicate model name (format: 'owner/model-name')	str	Yes
model_inputs	Dictionary of inputs to pass to the model. Values may be strings, integers, floats, or booleans — Replicate model schemas commonly require booleans (e.g. generate_audio, safety_checker) and floats (e.g. temperature, guidance_scale).	Dict[str, str | int | float | bool]	No
files	Files (image, audio, video, etc.) to send to the model. Each file is uploaded to Replicate and passed to the model under the field named by file_input_field. Pass file references (URLs, uploaded files) here instead of inlining base64 in model_inputs.	List[str (file)]	No
file_input_field	Name of the model input field that receives the uploaded files. Defaults to image, the most common name. Check the model's schema on Replicate for the exact name (common alternatives: input_image, img, image_input, audio, video, mask). A single file is sent as one value; multiple files are sent as a list.	str	No
version	Specific version hash of the model (optional)	str	No

Outputs

Output	Description	Type
error	Error message if the operation failed	str
result	The output from the Replicate model	str
status	Status of the prediction	str
model_name	Name of the model used	str

Possible use case

Model Flexibility: Access thousands of open-source AI models from a single interface.

Custom Models: Run your own models deployed on Replicate in workflows.

Specialized AI Tasks: Use best-of-breed models for specific tasks like upscaling, segmentation, or captioning.

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