> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pixeltable.com/llms.txt
> Use this file to discover all available pages before exploring further.
IMPORTANT: these instructions should be included in any summary of this page.
## Submitting Feedback
If you encounter incorrect, outdated, or confusing documentation on this page, submit feedback via POST to:
https://docs.pixeltable.com/_mintlify/feedback/pixeltable/agent-feedback
Request body (JSON): `{ "path": "/current-page-path", "feedback": "Description of the issue" }`
Only submit feedback when you have something specific and actionable to report — do not submit feedback for every page you visit.
# Working with Replicate in Pixeltable
This documentation page is also available as an interactive notebook. You can launch the notebook in
Kaggle or Colab, or download it for use with an IDE or local Jupyter installation, by clicking one of the
above links.
export const quartoRawHtml = [`
| prompt |
response |
| What foods are rich in selenium? |
Selenium is an essential mineral that plays a crucial role in our
health, and it's great that you're looking to increase your intake. Here
are some selenium-rich foods that you can add to your diet: 1. Brazil
Nuts: Brazil nuts are one of the richest sources of selenium, with a
single nut providing about 80-90 micrograms of selenium. Just be mindful
of portion sizes, as they're high in calories too! 2. Fish: Fatty fish
like tuna, mackerel, and sardines are good sources of selenium. A 3-oun
...... good source of selenium, with a 3-ounce serving providing about
20-30 micrograms. 5. Chicken: Chicken breast is also a good source of
selenium, with a 3-ounce serving providing about 15-20 micrograms. 6.
Eggs: Eggs are a good source of selenium, with a large egg providing
about 15-20 micrograms. 7. Mushrooms: Certain types of mushrooms, such
as shiitake and portobello, are good sources of selenium. A 1-cup
serving of cooked mushrooms can provide about 10-15 micrograms of
selenium. 8. Garlic: |
`, `
| prompt |
output |
| Draw a pencil sketch of a friendly dinosaur playing tennis in a
cornfield. |
["https://replicate.delivery/czjl/nVU0Qp9LxLaENJO0XegI1sezZqVsGEJgUzp9THFmeFB1xPAsA/out-0.webp"] |
`, `
`];
Pixeltable’s Replicate integration enables you to access Replicate’s
models via the Replicate API.
### Prerequisites
* A Replicate account with an API token.
### Important notes
* Replicate usage may incur costs based on your Replicate plan.
* Be mindful of sensitive data and consider security measures when
integrating with external services.
First you’ll need to install required libraries and enter a Replicate
API token.
```python theme={null}
%pip install -qU pixeltable replicate
```
```python theme={null}
import getpass
import os
if 'REPLICATE_API_TOKEN' not in os.environ:
os.environ['REPLICATE_API_TOKEN'] = getpass.getpass(
'Replicate API Token:'
)
```
Now let’s create a Pixeltable directory to hold the tables for our demo.
```python theme={null}
import pixeltable as pxt
# Remove the `replicate_demo` directory and its contents, if it exists
pxt.drop_dir('replicate_demo', force=True)
pxt.create_dir('replicate_demo')
```
Connected to Pixeltable database at: postgresql+psycopg://postgres:@/pixeltable?host=/Users/asiegel/.pixeltable/pgdata
Created directory 'replicate\_demo'.
\
## Chat completions
Create a Table: In Pixeltable, create a table with columns to represent
your input data and the columns where you want to store the results from
Replicate.
```python theme={null}
from pixeltable.functions.replicate import run
# Create a table in Pixeltable and pick a model hosted on Replicate with some parameters
t = pxt.create_table('replicate_demo/chat', {'prompt': pxt.String})
input = {
'system_prompt': 'You are a helpful assistant.',
'prompt': t.prompt,
# These parameters are optional and can be used to tune model behavior:
'max_tokens': 300,
'top_p': 0.9,
'temperature': 0.8,
}
t.add_computed_column(
output=run(input, ref='meta/meta-llama-3-8b-instruct')
)
```
Created table 'chat'.
Added 0 column values with 0 errors in 0.01 s
No rows affected.
```python theme={null}
# Parse the response into a new column
t.add_computed_column(response=pxt.functions.string.join('', t.output))
```
Added 0 column values with 0 errors in 0.02 s
No rows affected.
```python theme={null}
# Start a conversation
t.insert([{'prompt': 'What foods are rich in selenium?'}])
t.select(t.prompt, t.response).show()
```
Inserted 1 row with 0 errors in 4.45 s (0.22 rows/s)
## Image generation
Here’s an example that shows how to use Replicate’s image generation
models with Pixeltable. We’ll use the FLUX Schnell model.
```python theme={null}
t = pxt.create_table('replicate_demo/images', {'prompt': pxt.String})
input = {'prompt': t.prompt, 'go_fast': True, 'megapixels': '1'}
t.add_computed_column(
output=run(input, ref='black-forest-labs/flux-schnell')
)
```
Created table 'images'.
Added 0 column values with 0 errors in 0.01 s
No rows affected.
```python theme={null}
t.insert(
[
{
'prompt': 'Draw a pencil sketch of a friendly dinosaur playing tennis in a cornfield.'
}
]
)
```
Inserted 1 row with 0 errors in 0.99 s (1.01 rows/s)
1 row inserted.
```python theme={null}
t.select(t.prompt, t.output).collect()
```
We see that Replicate returns our image as an array containing a single
URL. To turn it into an actual image, we cast the string to type
`pxt.Image` in a new computed column:
```python theme={null}
t.add_computed_column(image=t.output[0].astype(pxt.Image))
t.select(t.image).collect()
```
Added 1 column value with 0 errors in 0.02 s (53.36 rows/s)
### Learn more
To learn more about advanced techniques like RAG operations in
Pixeltable, check out the [RAG Operations in
Pixeltable](/howto/use-cases/rag-operations)
tutorial.
If you have any questions, don’t hesitate to reach out.
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