Bytedance Seedream V5 Lite API

Edit
Text To Image

Endpoint: POST https://fal.run/fal-ai/bytedance/seedream/v5/lite/edit Endpoint ID: fal-ai/bytedance/seedream/v5/lite/edit

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/bytedance/seedream/v5/lite/edit",
    arguments={
        "prompt": "Replace the product in Figure 1 with that in Figure 2. Seamlessly render logo in Figure 3 into the product design, in frosted glass texture. Remove any extra text in Figure 1, and design a catchy tagline for the perfume.",
        "image_urls": [
            "https://v3b.fal.media/files/b/0a8f9936/KOsb_qPB_W0ZJ0Ee2OsnU_586e2892841d46f09049ee7199b303d3.png",
            "https://v3b.fal.media/files/b/0a8f994e/JroWTogO6jOTFk9b6B3XM_591ca38cef2f44bbba2843cbf80fb1b2.png",
            "https://v3b.fal.media/files/b/0a8f9960/Q6pzwXAiFaFPOpSScoE-D_0eca5db19e5242739f127efe49b38922.png"
        ]
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

Examples

Change the season to winter. Cover everything in fresh white snow. The trees should be bare with snow on branches. The fallen leaves are replaced by snow. Overcast grey sky. The red car has a thin layer of snow on the hood and roof. Tire tracks in the fresh snow on the road.

Generated image: Change the season to winter. Cover everything in fresh white snow. The trees sho

Transform these into fluffy Japanese souffle pancakes. Make them much thicker and jigglier looking, tall and wobbly. Add a scoop of vanilla ice cream on top with a drizzle of honey. A small ceramic cup of matcha on the side. Change the setting to a cute Japanese cafe table with a checkered placemat…

Generated image: Transform these into fluffy Japanese souffle pancakes. Make them much thicker an

Change the weather to an approaching thunderstorm. Dark dramatic storm clouds rolling over the mountains. Lightning bolt striking one of the peaks in the distance. The lake surface is choppy with small waves. Wind bending the trees. The light is eerie and dramatic with a break in the clouds letting …

Generated image: Change the weather to an approaching thunderstorm. Dark dramatic storm clouds ro

Input Schema

prompt

string

required

The text prompt used to edit the image

image_size

ImageSize | Enum

default:"auto_2K"

The size of the generated image. Total pixels must be between 2560x1440 and 3072x3072. In case the image size does not fall within these parameters, the image size will be adjusted to by scaling. Default value: auto_2KPossible values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, auto_2K, auto_3K

num_images

integer

default:"1"

Number of separate model generations to be run with the prompt. Default value: 1Range: 1 to 6

max_images

integer

default:"1"

If set to a number greater than one, enables multi-image generation. The model will potentially return up to max_images images every generation, and in total, num_images generations will be carried out. In total, the number of images generated will be between num_images and max_images*num_images. Default value: 1Range: 1 to 6

sync_mode

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.

enable_safety_checker

boolean

default:"true"

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

image_urls

list<string>

required

List of URLs of input images for editing. Presently, up to 10 image inputs are allowed. If over 10 images are sent, only the last 10 will be used.

Output Schema

images

list<Image>

required

Generated images

seed

integer

required

Seed used for generation.

Input Example

{
  "prompt": "Replace the product in Figure 1 with that in Figure 2. Seamlessly render logo in Figure 3 into the product design, in frosted glass texture. Remove any extra text in Figure 1, and design a catchy tagline for the perfume.",
  "image_size": "auto_2K",
  "num_images": 1,
  "max_images": 1,
  "sync_mode": false,
  "enable_safety_checker": true,
  "image_urls": [
    "https://v3b.fal.media/files/b/0a8f9936/KOsb_qPB_W0ZJ0Ee2OsnU_586e2892841d46f09049ee7199b303d3.png",
    "https://v3b.fal.media/files/b/0a8f994e/JroWTogO6jOTFk9b6B3XM_591ca38cef2f44bbba2843cbf80fb1b2.png",
    "https://v3b.fal.media/files/b/0a8f9960/Q6pzwXAiFaFPOpSScoE-D_0eca5db19e5242739f127efe49b38922.png"
  ]
}

Output Example

{
  "images": [
    {
      "url": "https://v3b.fal.media/files/b/0a8fbf56/wu9vcxO3xO6lkHv5zdiIs_7aa8564f6e4f4cc795ecb8e923deb2fb.png"
    }
  ],
  "seed": 42
}

Endpoint: POST https://fal.run/fal-ai/bytedance/seedream/v5/lite/text-to-image Endpoint ID: fal-ai/bytedance/seedream/v5/lite/text-to-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/bytedance/seedream/v5/lite/text-to-image",
    arguments={
        "prompt": "Realistic DSLR photograph of anthropomorphic Penkingese dog enjoying a bowl of ramen on the Great Wall of China with the words \"Seedream 5.0 Lite available on fal\" visible at the top."
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

Examples

A crumbling medieval stone castle floating on a massive chunk of earth above the clouds, thick roots dangling from the bottom, waterfalls cascading off the edges into the mist below, sunset sky painted in amber and violet, a flock of birds circling one tower, cinematic matte painting style, epic fan…

Generated image: A crumbling medieval stone castle floating on a massive chunk of earth above the

A cozy attic reading nook on a rainy afternoon, warm watercolor illustration style. An overstuffed armchair with a patchwork quilt draped over it, a steaming mug of tea on a stack of books, a cat curled up on the windowsill watching rain streak down the glass. Soft warm lamplight, muted earth tones …

Generated image: A cozy attic reading nook on a rainy afternoon, warm watercolor illustration sty

On the left side of a small round marble cafe table, a man in a rust-colored linen shirt leaning forward with his chin on his hand. On the right side, a woman in an oversized cream knit sweater laughing with her head tilted back. Two steaming cappuccinos between them, a croissant on a plate. Warm Pa…

Generated image: On the left side of a small round marble cafe table, a man in a rust-colored lin

Input Schema

prompt

string

required

The text prompt used to generate the image

image_size

ImageSize | Enum

default:"auto_2K"

num_images

integer

default:"1"

Number of separate model generations to be run with the prompt. Default value: 1Range: 1 to 6

max_images

integer

default:"1"

sync_mode

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.

enable_safety_checker

boolean

default:"true"

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

Output Schema

images

list<Image>

required

Generated images

seed

integer

required

Seed used for generation.

Input Example

{
  "prompt": "Realistic DSLR photograph of anthropomorphic Penkingese dog enjoying a bowl of ramen on the Great Wall of China with the words \"Seedream 5.0 Lite available on fal\" visible at the top.",
  "image_size": "auto_2K",
  "num_images": 1,
  "max_images": 1,
  "sync_mode": false,
  "enable_safety_checker": true
}

Output Example

{
  "images": [
    {
      "url": "https://v3b.fal.media/files/b/0a8fbf48/fv693UaOADKqnujJRZN90_4518fc5e1fed4fb29963b22a8cc3d5a6.png"
    }
  ],
  "seed": 42
}

ByteDance’s Seedream 5.0 Lite delivers fast, intelligent and high quality image editing suitable for creative advertising and real-world usecases. It can process up to 10 reference images simultaneously for complex multi-source compositions. Built for: Product mockup generation | Marketing asset creation | Creative iteration workflows

What this means for you:

High-resolution output: Generate images up to 3072x3072 pixels with flexible aspect ratios.
Multi-image generation: Request up to 6 separate generations per API call, with the option to generate multiple variations per generation using max_images
Safety integration: Built-in content filtering enabled by default, with the option to disable for controlled environments

Metric	Result	Context
Cost per Image	$0.035	Cheaper than Nano Banana and Seedream 4.5
Max Resolution	9MP (3072x3072)	Total pixel count between 3.7MP and 9.43MP supported
Batch Capability	1-6 images	Per generation, with multi-generation support via `max_images`
Max Reference Images	10 images	Multi-source composition capability (last 10 used if more provided)
Output Format	PNG via URL	Async by default, sync mode available for data URI returns

Technical Specifications

Spec	Details
Architecture	Seedream 5.0 Lite
Input Formats	Text prompts with detailed natural language support
Output Formats	PNG images delivered via HTTPS URL or data URI
Resolution Range	2560x1440 to 3072x3072 total pixels
License	Commercial use permitted under partner agreement

Bytedance — Image Generation

Limitations

image_size restricted to: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, auto_2K, auto_3K
num_images range: 1 to 6
max_images range: 1 to 6
Content moderation via safety checker

Video Generation

Image Generation

Audio

Vision

3D

Bytedance Seedream V5 Lite API

Try it in the Playground

Quick Start

Examples

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Examples

Input Schema

Output Schema

Input Example

Output Example

Technical Specifications

Limitations

Video Generation

Image Generation

Audio

Vision

3D

Try it in the Playground

​Quick Start

​Examples

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Examples

​Input Schema

​Output Schema

​Input Example

​Output Example

​Technical Specifications

​Related

​Limitations

Quick Start

Examples

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Examples

Input Schema

Output Schema

Input Example

Output Example

Technical Specifications

Related

Limitations