Studio quickstart

In this quickstart, you will learn how to search for models and try out and call model and pipelines.

Models

Select a Model

Open the Discover tab and search for a model. Use the Function and Modality filters to narrow down your search.

Text generation

Let's select Groq Llama 3 70B.

Image generation

Let's select Stable Diffusion.

Speech synthesis

Let's select Speech Synthesis - English - Premium - Justin (child).

Try it out!

Write your input in the entry field and click Enter.

Text generation

Image generation

Speech synthesis

Deploy the Model

Copy and paste the code snippets from the API integration tab into your projects. 😊

Don't forget to install dependencies and add your Team API Key!
See the quickstarts for more information.

Text generation

Image generation

Speech synthesis

note

You can see the model IDs under the model names in the screenshots above.

Python

Text generation

from aixplain.factories import ModelFactory

model = ModelFactory.get("6626a3a8c8f1d089790cf5a2")
result = model.run(<INPUT_DATA>)

Image generation

from aixplain.factories import ModelFactory

model = ModelFactory.get("64aee5824d34b1221e70ac07")
result = model.run(<INPUT_DATA>)

Speech synthesis

from aixplain.factories import ModelFactory

model = ModelFactory.get("618ba6ede2e1a9153ca2a3cc")
result = model.run(<INPUT_DATA>)

Swift

Text generation

let model = try? await ModelProvider().get("6626a3a8c8f1d089790cf5a2")
let response = try await model.run("What is the capital of France?")

Image generation

let model = try? await ModelProvider().get("64aee5824d34b1221e70ac07")
let response = try await model.run("A dog in a bathtub wearing a sailor hat.")

Speech synthesis

let model = try? await ModelProvider().get("618ba6ede2e1a9153ca2a3cc")
let response = try await model.run("Hi! Hope you're having a lovely day!")

Curl

Text generation

curl -X POST 'https://models.aixplain.com/api/v1/execute/6626a3a8c8f1d089790cf5a2' \
-H 'x-api-key: TEAM_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"data": "What is the capital of France?"}'

curl -X GET 'https://models.aixplain.com/api/v1/data/<requestId>' \
-H 'x-api-key: TEAM_API_KEY' \
-H 'Content-Type: application/json'

Image generation

curl -X POST 'https://models.aixplain.com/api/v1/execute/64aee5824d34b1221e70ac07' \
-H 'x-api-key: TEAM_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"data": "A dog in a bathtub wearing a sailor hat."}'

curl -X GET 'https://models.aixplain.com/api/v1/data/<requestId>' \
-H 'x-api-key: TEAM_API_KEY' \
-H 'Content-Type: application/json'

Speech synthesis

curl -X POST 'https://models.aixplain.com/api/v1/execute/618ba6ede2e1a9153ca2a3cc' \
-H 'x-api-key: TEAM_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"data": "Hi! Hope you're having a lovely day!"}'

curl -X GET 'https://models.aixplain.com/api/v1/data/<requestId>' \
-H 'x-api-key: TEAM_API_KEY' \
-H 'Content-Type: application/json'

<requestId> is available in the POST response.

note

See Models for more information.

Pipelines

Build a Pipeline

Build & Save a pipeline in Design.

tip

Watch our Design Overview video to learn how to use Design to build your first pipeline (Translation & Speech Synthesis).

Translation & Speech Synthesis pipeline from Design Overview video

Try it out!

Write your input in the entry field and press Enter.

Translation & Speech Synthesis pipeline Try it out! page

Deploy the Pipeline

Copy and paste the code snippets from the API integration tab into your projects. 😊

Don't forget to install dependencies and add your Team API Key!
See the quickstarts for more information.

Translation & Speech Synthesis pipeline Try it out! page

info

In the future, you can publish your solutions to an aiXplain App Store (no code).

note

You can see the pipeline ID (65d73975015ea5c1e551facc) under the pipeline's name in the screenshot above.
The ID is also available in a pipeline's information page and URL.

Python

from aixplain.factories import PipelineFactory

pipeline = PipelineFactory.get("65d73975015ea5c1e551facc")
result = pipeline.run("<INPUT_1_TEXT_DATA>")

Swift

let pipeline = try! await PipelineProvider().get("65d73975015ea5c1e551facc")
let response = try? await pipeline.run(URL("<INPUT_1_TEXT_DATA>"))

Curl

curl -X POST 'https://platform-api.aixplain.com/assets/pipeline/execution/run/65d73975015ea5c1e551facc' \
-H 'x-api-key: TEAM_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"data": "<INPUT_1_TEXT_DATA>"}'

curl -X GET 'https://models.aixplain.com/api/v1/data/<requestId>' \
-H 'x-api-key: TEAM_API_KEY' \
-H 'Content-Type: application/json'

<requestId> is available in the POST response.

note

See Pipelines for more information.