Seedvr Upscale Image API

Image
Seamless

Endpoint: POST https://fal.run/fal-ai/seedvr/upscale/image Endpoint ID: fal-ai/seedvr/upscale/image

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/seedvr/upscale/image",
    arguments={
        "image_url": "https://storage.googleapis.com/falserverless/example_inputs/seedvr2/image_in.png"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/seedvr/upscale/image", {
  input: {
      image_url: "https://storage.googleapis.com/falserverless/example_inputs/seedvr2/image_in.png"
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/seedvr/upscale/image \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/seedvr2/image_in.png"
}'

Input Schema

string

required

The input image to be processed

UpscaleModeEnum

default:"factor"

The mode to use for the upscale. If ‘target’, the upscale factor will be calculated based on the target resolution. If ‘factor’, the upscale factor will be used directly. Default value: "factor"Possible values: target, factor

float

default:"2"

Upscaling factor to be used. Will multiply the dimensions with this factor when upscale_mode is factor. Default value: 2Range: 1 to 10

TargetResolutionEnum

default:"1080p"

The target resolution to upscale to when upscale_mode is target. Default value: "1080p"Possible values: 720p, 1080p, 1440p, 2160p

integer

The random seed used for the generation process.

float

default:"0.1"

The noise scale to use for the generation process. Default value: 0.1Range: 0 to 1, step: 0.001

OutputFormatEnum

default:"jpg"

The format of the output image. Default value: "jpg"Possible values: png, jpg, webp

boolean

default:"false"

If True, the media will be returned as a data URI and the output data won’t be available in the request history.

Output Schema

ImageFile

required

Upscaled image file after processing

integer

required

The random seed used for the generation process.

Input Example

{
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/seedvr2/image_in.png",
  "upscale_mode": "factor",
  "upscale_factor": 2,
  "target_resolution": "1080p",
  "noise_scale": 0.1,
  "output_format": "jpg",
  "sync_mode": false
}

Output Example

{
  "image": {
    "content_type": "image/png",
    "url": "https://storage.googleapis.com/falserverless/example_outputs/seedvr2/image_out.png"
  }
}

Endpoint: POST https://fal.run/fal-ai/seedvr/upscale/image/seamless Endpoint ID: fal-ai/seedvr/upscale/image/seamless

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/seedvr/upscale/image/seamless",
    arguments={
        "image_url": "https://v3b.fal.media/files/b/0a93eb33/dQ_ZwLyeu8P2UJYsa8RDW_seamless_image_in.png"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/seedvr/upscale/image/seamless", {
  input: {
      image_url: "https://v3b.fal.media/files/b/0a93eb33/dQ_ZwLyeu8P2UJYsa8RDW_seamless_image_in.png"
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/seedvr/upscale/image/seamless \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "image_url": "https://v3b.fal.media/files/b/0a93eb33/dQ_ZwLyeu8P2UJYsa8RDW_seamless_image_in.png"
}'

Input Schema

string

required

The input image to be processed

UpscaleModeEnum

default:"factor"

float

default:"2"

Upscaling factor to be used. Will multiply the dimensions with this factor when upscale_mode is factor. Default value: 2Range: 1 to 10

TargetResolutionEnum

default:"1080p"

The target resolution to upscale to when upscale_mode is target. Default value: "1080p"Possible values: 720p, 1080p, 1440p, 2160p

integer

The random seed used for the generation process.

float

default:"0.1"

The noise scale to use for the generation process. Default value: 0.1Range: 0 to 1, step: 0.001

boolean

default:"true"

If set to true, the safety checker will be enabled. Default value: true

OutputFormatEnum

default:"png"

The format of the output image. Default value: "png"Possible values: png, jpeg, webp

boolean

default:"false"

If True, the media will be returned as a data URI and the output data won’t be available in the request history.

Output Schema

ImageFile

required

Upscaled image file after processing

integer

required

The random seed used for the generation process.

Input Example

{
  "image_url": "https://v3b.fal.media/files/b/0a93eb33/dQ_ZwLyeu8P2UJYsa8RDW_seamless_image_in.png",
  "upscale_mode": "factor",
  "upscale_factor": 2,
  "target_resolution": "1080p",
  "noise_scale": 0.1,
  "enable_safety_checker": true,
  "output_format": "png",
  "sync_mode": false
}

Output Example

{
  "image": {
    "content_type": "image/png",
    "url": "https://storage.googleapis.com/falserverless/example_outputs/seedvr2/image_out.png"
  }
}

SeedVR2 — Video Generation

Limitations

upscale_mode restricted to: target, factor
upscale_factor range: 1 to 10
target_resolution restricted to: 720p, 1080p, 1440p, 2160p
noise_scale range: 0 to 1 (step 0.001)
output_format restricted to: png, jpg, webp
output_format restricted to: png, jpeg, webp
Content moderation via safety checker

Video Generation

Image Generation

Audio

Vision

3D

Seedvr Upscale Image API

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Limitations

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

​Related

​Limitations

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Related

Limitations