“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”
Seedream 5.0 Lite
AI Image Editing Model
ByteDance's image generation model with built-in reasoning, example-based editing, and deep domain knowledge, supporting up to 3K resolution
Details
seedream-5-lite
Starting from
Prices shown are in USD
See all providersProvider Performance
Fastest generation through fal at 37,009ms median latency with 100.0% success rate.
Aggregated from real API requests over the last 30 days.
Generation Time
Success Rate
Time to First Byte
Provider Rankings
| # | Provider | p50 Gen Time | p95 Gen Time | Success Rate | TTFB (p50) |
|---|---|---|---|---|---|
| 1 | fal | 37,009ms | 51,317ms | 100.0% | 37,359ms |
| 2 | replicate | 47,079ms | 63,823ms | 92.6% | 47,079ms |
Providers & Pricing (3)
Seedream 5.0 Lite is available from 3 providers, with per-image pricing starting at $0.035 through BytePlus.
byteplus/seedream-5-lite
fal/seedream-5-lite-edit
replicate/seedream-5-lite
seedream-5.0-lite API OpenAI-compatible
Lumenfall provides an OpenAI-compatible API to generate 3K resolution images and perform example-based image editing using Seedream 5.0 Lite. This unified integration allows developers to programmatically access ByteDance's text-to-image and image-to-image capabilities with a single endpoint.
https://api.lumenfall.ai/openai/v1
seedream-5-lite
Code Examples
Image Edit
/v1/images/editscurl -X POST \
https://api.lumenfall.ai/openai/v1/images/edits \
-H "Authorization: Bearer $LUMENFALL_API_KEY" \
-F "model=seedream-5-lite" \
-F "[email protected]" \
-F "prompt=Add a starry night sky to this image" \
-F "size=1024x1024"
# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }
import OpenAI from 'openai';
import fs from 'fs';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.lumenfall.ai/openai/v1'
});
const response = await client.images.edit({
model: 'seedream-5-lite',
image: fs.createReadStream('source.png'),
prompt: 'Add a starry night sky to this image',
size: '1024x1024'
});
// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.lumenfall.ai/openai/v1"
)
response = client.images.edit(
model="seedream-5-lite",
image=open("source.png", "rb"),
prompt="Add a starry night sky to this image",
size="1024x1024"
)
# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)
Parameter Reference
Core Parameters
| Parameter | Type | Description | Modes |
|---|---|---|---|
prompt
|
string | Required. Text prompt for image generation |
T2I
Edit
|
Size & Layout
| Parameter | Type | Description | Modes |
|---|---|---|---|
size
|
string |
Image dimensions as WxH pixels (e.g. "1024x1024") or aspect ratio (e.g. "16:9")
WxH determines both shape and scale (aspect_ratio and resolution are ignored when size is provided). W:H format is equivalent to aspect_ratio.
|
T2I
Edit
|
aspect_ratio
|
string |
Aspect ratio of the output image (e.g. "16:9", "1:1")
Controls shape independently of scale. Use with resolution to control both. If size is also provided, size takes precedence. Any ratio is accepted and mapped to the nearest supported value.
|
T2I
Edit
|
resolution
|
string |
Output resolution tier (e.g. "1K", "4K")
auto
1K
Controls scale independently of shape. Higher tiers produce larger images and cost more. If size is also provided, size takes precedence for scale. Any tier is accepted and mapped to the nearest supported value.
|
T2I
Edit
|
| Output |
size
|
aspect_ratio
+
resolution
|
|
|---|---|---|---|
| Flexible | |||
| Auto | "auto" |
— | Model chooses optimal dimensions |
|
Custom
1–14142px per side
|
"WxH" |
— | Any pixel dimensions within model constraints |
1K 8 sizes
| Output |
size
|
aspect_ratio
+
resolution
|
|
|---|---|---|---|
| 1183 × 887 | "1183x887" |
or |
"4:3"
+
"1K"
|
| 1024 × 1024 | "1024x1024" |
or |
"1:1"
+
"1K"
|
| 887 × 1182 | "887x1182" |
or |
"3:4"
+
"1K"
|
| 836 × 1254 | "836x1254" |
or |
"2:3"
+
"1K"
|
| 1254 × 836 | "1254x836" |
or |
"3:2"
+
"1K"
|
| 768 × 1365 | "768x1365" |
or |
"9:16"
+
"1K"
|
| 1365 × 768 | "1365x768" |
or |
"16:9"
+
"1K"
|
| 1563 × 670 | "1563x670" |
or |
"21:9"
+
"1K"
|
How these parameters work
size
Exact pixel dimensions
"1920x1080"
aspect_ratio
Shape only, default scale
"16:9"
resolution
Scale tier, preserves shape
"1K"
Priority when combined
size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.
How matching works
7:1 on a model with
4:1 and 8:1,
you get 8:1.
0.5K 1K 2K 4K)
or megapixel tiers (0.25 1).
If the exact tier isn't available, you get the nearest one.
Media Inputs
| Parameter | Type | Description | Modes |
|---|---|---|---|
image
|
file |
Required.
Input image(s) to edit
Supports PNG, JPEG, WebP.
Up to 14 images per request.
|
T2I
Edit
|
Output & Format
| Parameter | Type | Description | Modes |
|---|---|---|---|
response_format
|
string |
How to return the image
url
b64_json
Default:
"url" |
T2I
Edit
|
output_format
|
string |
Output image format
png
jpeg
gif
webp
avif
Gateway converts to requested format if provider doesn't support it natively.
|
T2I
Edit
|
output_compression
|
integer | Compression level for lossy formats (JPEG, WebP, AVIF) |
T2I
Edit
|
n
|
integer |
Number of images to generate
Default:
1Gateway generates multiple images in parallel even if provider only supports 1.
|
T2I
Edit
|
Additional Parameters
Provider-specific passthrough fields, available only when the request is routed to the listed provider.
| Parameter | Type | Description | Modes |
|---|---|---|---|
|
fal
|
|||
enable_safety_checker
|
boolean | If set to true, the safety checker will be enabled. |
T2I
Edit
|
sync_mode
|
boolean | If `True`, the media will be returned as a data URI and the output data won't be available in the request history. |
T2I
Edit
|
|
replicate
|
|||
sequential_image_generation
|
string |
Group image generation mode. 'disabled' generates a single image. 'auto' lets the model decide whether to generate multiple related images (e.g., story scenes, character variations).
disabled
|
T2I
Edit
|
Parameter Normalization
How we handle parameters across different providers
Not every provider speaks the same language. When you send a parameter, we handle it in one of four ways depending on what the model supports:
| Behavior | What happens | Example |
|---|---|---|
passthrough |
Sent as-is to the provider | style, quality |
renamed |
Same value, mapped to the field name the provider expects | prompt |
converted |
Transformed to the provider's native format | size |
emulated |
Works even if the provider has no concept of it | n, response_format |
Parameters we don't recognize pass straight through to the upstream API, so provider-specific options still work.
Seedream 5.0 Lite Benchmarks
Seedream 5.0 Lite holds the #8 rank for image editing with a 1215 Elo and the #15 rank for text-to-image generation with a 1239 Elo. These rankings reflect its strength in modifying existing visuals while maintaining competitive performance in general image creation.
Image Editing Landscape
Elo vs Cost
Elo vs Speed
Competition Results
“Add dynamic motion to this photo: make hair blow in the wind, add leaves flying, energetic and lively feel.”
“Make a photo of the man driving the car down the California coastline”
{
"action": "image_edit",
"reference": "uploaded neutral portrait",
"change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
"details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
"preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
"no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
"style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}
“Change the scene to night: a deep, dark sky with subtle, glistening stars visible behind the mountain.”
“Transform this photo into a Studio Ghibli–inspired illustration. Use soft pastel colors, hand-painted textures, gentle lighting, dreamy backgrounds, and a warm, nostalgic mood”
“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”
{
"action": "image_edit",
"reference": "uploaded neutral portrait",
"change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
"details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
"preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
"no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
"style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}
Uncategorized
“Create a caricature of me and my job. Make it exaggerated and humorous, incorporating my profession as a tv show anchor and my love for dogs and hockey.”
“Use Image 1 as the exact pose reference and Image 2 as the character reference. Recreate the person/character from Image 2 in the exact dynamic pose and body position from Image 1. Keep the exact face, hair, clothing style/details, and expression from Image 2. Match the lighting and environment of Image 1. The final image must show the character from Image 2 performing the precise action/pose from Image 1 with perfect anatomy and natural integration.”
Top Matchups
See how Seedream 5.0 Lite performs head-to-head against other AI models, ranked by community votes in blind comparisons.
vs Nano Banana Pro
Challenge: Man and Car in California
50% W · 50% L
vs GPT Image 1 Mini
Challenge: Pose & Character Mashup
33% W · 67% L
vs Nano Banana 2
Challenge: Over-the-top cartoon caricature
50% W · 50% L
vs GPT Image 1.5
Challenge: Vintage Cafe Logo
50% W · 50% L
vs FLUX.2 [dev] Turbo
Challenge: Apollo 11: Journey to Tranquility
0% W · 100% L
Seedream 5.0 Lite is best for
See all Use CasesSeedream 5.0 Lite excels in artistic categories, ranking #2 in Portrait with a 74.2% win rate and #3 in Anime with a 70.0% win rate. It shows lower competitive performance in photorealism, where it currently ranks #20 with a 20.0% win rate.
Gallery
View all 8 imagesSeedream 5.0 Lite FAQ
How much does Seedream 5.0 Lite cost?
Seedream 5.0 Lite starts at $0.035 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.
How do I use Seedream 5.0 Lite via API?
You can use Seedream 5.0 Lite through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "seedream-5-lite". Code examples are available in Python, JavaScript, and cURL.
Which providers offer Seedream 5.0 Lite?
Seedream 5.0 Lite is available through Replicate, BytePlus, and fal.ai on Lumenfall. Lumenfall automatically routes requests to the best available provider.
What is the maximum resolution for Seedream 5.0 Lite?
Seedream 5.0 Lite supports images up to 3072x3072 resolution.
Overview
Seedream 5.0 Lite is a diffusion-based image generation model developed by ByteDance that integrates logical reasoning with high-fidelity visual synthesis. Unlike standard text-to-image models, it features native support for example-based editing and is capable of producing outputs at resolutions up to 3K. Its primary distinction lies in its ability to process complex instructions that require deep domain knowledge, bridging the gap between creative prompting and technical accuracy.
Strengths
- High-Resolution Output: Native support for generating images at up to 3K resolution, reducing the reliance on external upscalers for detailed assets.
- Structured Reasoning: The model utilizes built-in reasoning capabilities to better interpret complex prompts, ensuring that spatial Relationships and multi-subject interactions remain consistent with the input text.
- Example-Based Editing: Beyond simple text-to-image, the model excels at image-to-image tasks where an existing image serves as a structural or stylistic reference for modifications.
- Domain-Specific Knowledge: Demonstrates a high degree of accuracy when rendering subjects that require specialized knowledge, such as technical diagrams, specific architectural styles, or culturally nuanced details.
Limitations
- Computational Latency: Due to the internal reasoning steps and high-resolution output capabilities, inference times may be longer compared to more streamlined, lower-resolution diffusion models.
- Lite vs. Full Tradeoffs: As a “Lite” version, this model is optimized for a specific balance of speed and cost; it may lack some of the extreme atmospheric nuance or compositional complexity found in larger, non-lite iterations of the Seedream family.
- Consistency in Sequence: While strong at individual image generation and editing, maintaining strict character or environmental consistency across a long sequence of many disparate images can still require significant prompt engineering.
Technical Background
Seedream 5.0 Lite belongs to the Seedream family of multimodal models, utilizing an architecture that accepts both text and image inputs. A key technical decision in its development was the integration of a reasoning module that pre-processes prompts to ensure logical consistency before the diffusion process begins. This allows the model to handle “long-tail” knowledge prompts that typically challenge general-purpose generators.
Best For
Seedream 5.0 Lite is best suited for professional design workflows where resolution and adherence to specific references are critical, such as concept art, marketing assets, and iterative image editing. It is particularly effective for users who need to perform “resynthesis” or stylistic transfers using an example image as a baseline.
You can experiment with Seedream 5.0 Lite and integrate it into your production environment through Lumenfall’s unified API and playground, which provides a consistent interface for testing its 3K output and reasoning capabilities.
Try Seedream 5.0 Lite in Playground
Generate images with custom prompts — no API key needed.