falImage to imageComing soon

rundiffusion-fal/juggernaut-flux-lora/inpainting

Name: rundiffusion-fal/juggernaut-flux-lora/inpainting
Brand: fal

rundiffusion-fal/juggernaut-flux-lora/inpainting 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.

Priced by usage

Pricing

$0.0585 per megapixel. Each image_size preset counts as 1 MP, and a custom width × height rounds up to whole megapixels. Billed on num_images, default 1. The final charge comes from usage.

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	—	The prompt to generate an image from.
`image_size`	JSON	—	The size of the generated image.
`num_inference_steps`	number (whole) 1 to 50	28	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.
`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.
`guidance_scale`	number 0 to 35	3.5	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. This is always set to 1 for streaming output.
`output_format`	one of jpeg, png	jpeg	The format of the generated image.
`acceleration`	one of none, regular	none	Acceleration level for image generation. 'regular' balances speed and quality.
`image_url` required	URL or file	—	URL of image to use for inpainting. or img2img
`strength`	number 0.01 to 1	0.85	The strength to use for inpainting/image-to-image. Only used if the image_url is provided. 1.0 is completely remakes the image while 0.0 preserves the original.
`mask_url` required	URL or file	—	The mask to area to Inpaint in.

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": "rundiffusion-fal/juggernaut-flux-lora/inpainting",
    "input": {
      "prompt": "A photo of a lion sitting on a stone bench",
      "image_url": "https://storage.googleapis.com/falserverless/example_inputs/dog.png",
      "mask_url": "https://storage.googleapis.com/falserverless/example_inputs/dog_mask.png"
    }
  }'