> For the complete documentation index, see [llms.txt](https://agpt.co/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://agpt.co/docs/integrations/block-integrations/replicate_block.md).

# 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             | Dict\[str, str \| int] | 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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