Image and audio models from fal now available on DigitalOcean

We’re excited to announce the launch of four multimodal AI models from fal on the DigitalOcean Gradient™ AI Platform, now available in public preview through Serverless Inference. These models allow you to generate images and audio directly via API, without worrying about infrastructure, scaling, or vendor management. With this release, building AI-powered applications that include visual and audio content is easier than ever.

Explore the new models

The fal models, now in public preview, cover a variety of modalities, enabling you to experiment, prototype, and deploy multimodal AI features quickly:

Image generation:

• Stable Diffusion XL fast (fal-ai/fast-sdxl) – High-resolution image generation

• FLUX.1 (schnell) (fal-ai/flux/schnell) – Fast image generation for quick prototyping

Audio generation:

• Stable Audio (fal-ai/stable-audio-25/text-to-audio) – Convert text into natural-sounding audio

• ElevenLabs TTS Multilingual v2 9 (fal-ai/elevenlabs/tts/multilingual-v2) – Multilingual text-to-speech

These models are available via Serverless Inference, letting you generate images and audio through the same simple API-driven workflow you already use on Gradient AI Platform.

Try it out

You can start using these models immediately via the Serverless Inference API (https://inference.do-ai.run). Here’s a preview of how you can interact with them:

Example: Generate an Image

export MODEL_ACCESS_KEY="YOUR_KEY"
curl -sS -X POST "https://inference.do-ai.run/v1/async-invoke" \
  -H "Authorization: Bearer $MODEL_ACCESS_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_id": "fal-ai/flux/schnell",
    "input": { "prompt": "A high-quality photo of a futuristic city at sunset" }
  }'

Example: Generate an Image with Customized Parameters

curl -sS -X POST 'https://inference.do-ai.run/v1/async-invoke' \
  -H "Authorization: Bearer $MODEL_ACCESS_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_id": "fal-ai/fast-sdxl",
    "input": {
      "prompt": "A high-quality photo of a futuristic city at sunset",
      "output_format": "landscape_4_3",
      "num_inference_steps": 4,
      "guidance_scale": 3.5,
      "num_images": 1,
      "enable_safety_checker": true
    },
    "tags": [
      { "key": "type", "value": "test" }
    ]
  }'

Example: Generate Sound

curl -sS -X POST 'https://inference.do-ai.run/v1/async-invoke' \
  -H "Authorization: Bearer $MODEL_ACCESS_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_id": "fal-ai/stable-audio-25/text-to-audio",
    "input": {
      "prompt": "Futuristic epic song",
      "seconds_total": 60
    },
    "tags": [
      { "key": "type", "value": "test" }
    ]
  }'

Example: Text to Speech (TTS)

curl -sS -X POST 'https://inference.do-ai.run/v1/async-invoke' \
  -H "Authorization: Bearer $MODEL_ACCESS_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_id": "fal-ai/elevenlabs/tts/multilingual-v2",
    "input": {
      "text": "Hello, this is a text to speech example using Digital Ocean multilingual voice."
    },
    "tags": [
      { "key": "type", "value": "test" }
    ]
  }'

Check the request status

These requests start the job and return a request_id, which you can use to check when your image is ready. Because Serverless Inference uses an asynchronous API, you’ll need to poll the request until it completes.

The /status endpoint is lightweight, so you can query it frequently to check progress. Once the job shows COMPLETE, use the /async-invoke/{request_id} endpoint to fetch the full generated result.

curl -sS -X GET "https://inference.do-ai.run/v1/async-invoke/{request_id}/status" \
  -H "Authorization: Bearer $MODEL_ACCESS_KEY"

Keep polling this endpoint until the response shows:

{ "status": "COMPLETE" }

Retrieve the final result

Once the job is complete, you can get the full response (which includes your generated image) using:

curl -sS -X GET "https://inference.do-ai.run/v1/async-invoke/{request_id}" \
  -H "Authorization: Bearer $MODEL_ACCESS_KEY"

Bring your ideas to life with fal on DigitalOcean

With these four new multimodal models in public preview, you can now build richer AI-powered experiences, generating images and audio without managing infrastructure.

Get started today by exploring the Serverless Inference API and integrating these powerful fal models into your applications. For more resources, check out our Gradient™ AI SDK and stay tuned for tutorials and videos showcasing these models in action.

This launch marks an expansion of DigitalOcean’s partnership with fal, bringing high-performance image and voice generation models to developers through the Gradient AI Platform. Learn more about the collaboration in the official press release.