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fal-ai/nemotron-diffusion-vlm

Name: fal-ai/nemotron-diffusion-vlm
Brand: fal

fal-ai/nemotron-diffusion-vlm is an image to text tool from fal that runs in the background and returns text. Coming soon: listed with its price, not yet open to runs.

This tool is listed but not yet available to run.

Price pending

Pricing

Price pending.

Limits

Runs: In the background
Returns: text
Longest queue wait: 3600s
Run deadline: 1800s
Largest inline input: 1024 KB
Largest input file: 500 MB
Largest output: 4768 MB
Outputs per run: 16

Input

Field	Kind	Default	Description
`image_url` required	URL or file	—	URL of the image to be processed.
`prompt` required	text	—	Prompt to answer about the image.
`max_tokens`	number (whole) 1 to 8192	512	Maximum number of tokens to generate.
`num_inference_steps`	number (whole) 1 to 1024	256	Number of diffusion decoding steps. Defaults to 256, rounded up only when omitted and required by the upstream block schedule. Explicit values must be at least max_tokens / block_length and divisible by max_tokens / block_length.
`block_length`	number (whole) 8 to 128	32	Block length used by diffusion decoding.
`threshold`	number 0 to 1	0.9	Confidence threshold used by diffusion decoding.

Same request in code

curl https://api.spiral.ai/v1/runs \
  -H "Authorization: Bearer $SPIRAL_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
    "provider": "fal",
    "model": "fal-ai/nemotron-diffusion-vlm",
    "input": {
      "image_url": "https://storage.googleapis.com/falserverless/example_inputs/dog.png",
      "prompt": "Describe the image in one short sentence."
    }
  }'