HedraImage to imageComing soon

gpt-image-2.5-flare

Name: gpt-image-2.5-flare
Brand: Hedra

gpt-image-2.5-flare is an image to image tool from Hedra that runs in the background and returns images. 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: image
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
`prompt` required	text	—	Generation prompt. At most 32000 characters.
`resolution` required	one of 1K, 2K, 4K	—	Output resolution.
`aspect_ratio` required	one of 16:9, 9:16, 4:3, 3:4, 1:1	—	Output aspect ratio.
`images`	JSON	—	Images to edit or blend. 1 to 16 images, each at most 30 MB.
`quality`	one of auto, low, medium, high	auto	Quality level to generate at. `auto` — automatically selects rendering quality for the prompt. `low` — low rendering quality for the Flare model. `medium` — medium rendering quality for the Flare model. `high` — high rendering quality for the Flare model.
`num_outputs`	one of 1	1	Number of outputs generated per job. Only 1 is supported.
`output_format`	one of jpeg, png, webp	—	Output image format.
`enhance_prompt`	true or false	false	Rewrite the prompt before generation. An LLM expands it into a fuller description and the model receives that text instead of the submitted one; the result's `prompt` reports what ran.

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": "hedra",
    "model": "gpt-image-2.5-flare",
    "input": {
      "prompt": "<prompt>",
      "resolution": "1K",
      "aspect_ratio": "16:9"
    }
  }'