falImage to imageComing soon

fal-ai/flux-kontext-lora

Name: fal-ai/flux-kontext-lora
Brand: fal

fal-ai/flux-kontext-lora is an image to image tool from fal 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
`image_url` required	URL or file	—	The URL of the image to edit. Max width: 14142px, Max height: 14142px, Timeout: 20s
`prompt` required	text	—	The prompt to edit the image.
`num_inference_steps`	number (whole) 10 to 50	30	The number of inference steps to perform.
`seed`	number (whole)	—	The same seed and the same prompt given to the same version of the model will output the same image every time.
`guidance_scale`	number 0 to 20	2.5	The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.
`num_images`	number (whole) 1 to 4	1	The number of images to generate.
`output_format`	one of jpeg, png	png	The format of the generated image.
`loras`	JSON	[]	The LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image.
`acceleration`	one of none, regular, high	none	The speed of the generation. The higher the speed, the faster the generation.
`resolution_mode`	one of auto, match_input, 1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21	match_input	Determines how the output resolution is set for image editing. - `auto`: The model selects an optimal resolution from a predefined set that best matches the input image's aspect ratio. This is the recommended setting for most use cases as it's what the model was trained on. - `match_input`: The model will attempt to use the same resolution as the input image. The resolution will be adjusted to be compatible with the model's requirements (e.g. dimensions must be multiples of 16 and within supported limits). Apart from these, a few aspect ratios are also supported.

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/flux-kontext-lora",
    "input": {
      "image_url": "https://storage.googleapis.com/falserverless/example_inputs/kontext_example_input.webp",
      "prompt": "change the setting to a day time, add a lot of people walking the sidewalk while maintaining the same style of the painting"
    }
  }'