“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”
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 replicate at 44,770ms median latency with 91.2% 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 | replicate | 44,770ms | 60,152ms | 91.2% | 43,246ms |
Providers & Pricing (3)
Seedream 5.0 Lite is available from 3 providers, with per-image pricing starting at $0.035 through BytePlus.
All modes
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
Text to Image
/v1/images/generationscurl -X POST \
https://api.lumenfall.ai/openai/v1/images/generations \
-H "Authorization: Bearer $LUMENFALL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seedream-5-lite",
"prompt": "",
"size": "1024x1024"
}'
# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.lumenfall.ai/openai/v1'
});
const response = await client.images.generate({
model: 'seedream-5-lite',
prompt: '',
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.generate(
model="seedream-5-lite",
prompt="",
size="1024x1024"
)
# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)
Image Edit
/v1/images/editsParameter 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.
|
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
| Parameter | Type | Description | Modes |
|---|---|---|---|
enable_safety_checker
fal
|
boolean | If set to true, the safety checker will be enabled. |
T2I
Edit
|
sequential_image_generation
replicate
|
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
|
sync_mode
fal
|
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
|
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
1 without speed data omitted.
Text-to-Image Landscape
Elo vs Cost
Elo vs Speed
10 without speed data omitted.
Competition Results
{
"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.”
“Make a photo of the man driving the car down the California coastline”
“Add dynamic motion to this photo: make hair blow in the wind, add leaves flying, energetic and lively feel.”
“Modern minimalist restaurant menu design, white background with colorful food photos in grid, sections for appetizers/pizza/mains, bold sans-serif fonts, vibrant accents, clean professional layout for casual dining.”
“Vintage minimalist restaurant logo for "Caffè Florian", retro cloche dome with steam and "Est. 1720" banner, classic typography, warm brown and cream tones, subtle texture on light background, vector emblem style.”
“Create a clean, modern vector infographic poster about the Apollo 11 mission. NASA-inspired palette (navy, white, muted red, light gray). Flat-vector style, crisp lines, consistent iconography, subtle gradients only. Steps (stop at landing): 1. Launch (Saturn Vicon) 2. Earth Orbit (Earth + orbit ring icon) 3. Translunar (trajectory arc icon) 4. Lunar Orbit (Moon + orbit ring icon) 5. Descent (lunar module descending icon) 6. Landing (lunar module on the surface icon) Small supporting elements (minimal text): • Crew strip: three silhouette icons with only last names: Armstrong, Aldrin, Collins. • Landing site marker: Moon pin labeled "Tranquility" only. Layout constraints: generous margins, large readable labels, clean background with subtle stars. Vector-only, print-poster look, high resolution.”
“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"
}
“A candid street photo of an elderly Japanese man repairing a red bicycle in light rain, reflections on wet pavement, shallow depth of field, 50mm lens, natural skin texture, imperfect framing, motion blur from passing cars, cinematic but realistic, no stylization.”
“Vintage minimalist restaurant logo for "Caffè Florian", retro cloche dome with steam and "Est. 1720" banner, classic typography, warm brown and cream tones, subtle texture on light background, vector emblem style.”
“Close portrait of a battle-worn paladin in ornate engraved plate armor, hair braided with small beads, faint scars and dirt on the skin, warm torchlight reflecting off metal, shallow depth of field, bokeh sparks, lifelike eyes, highly detailed texture on leather straps and cloth underlayer.”
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.”
“Perfectly symmetrical mandala made entirely of real flowers, petals, leaves, fruits, and seeds in vibrant natural colors, intricate layered patterns with radial symmetry, top-down view on a soft neutral background, hyper-detailed organic textures and subtle shadows, photorealistic, 8K masterpiece.”
“Hyper-photorealistic interior of a lush Victorian glass greenhouse filled with exotic tropical plants, vibrant blooming orchids, tall ferns, colorful butterflies in flight, sunlight filtering through ornate glass roof creating realistic caustics and dew on leaves, intricate iron framework visible, misty atmosphere, 8K masterpiece.”
“Create a clear, 45° top-down isometric miniature 3D cartoon scene of Japan's signature dish: sushi, with soft refined textures, realistic PBR materials, gentle lighting, on a small raised diorama base with minimal garnish and plate. Solid light blue background. At top-center: 'JAPAN' in large bold text, 'SUSHI' below it, small flag icon. Perfectly centered, ultra-clean, high-clarity, square format.”
“Hyper-photorealistic scene of fluffy baby animals—a golden retriever puppy, tabby kitten, baby bunny, and red fox kit—with big expressive eyes and ultra-detailed soft fur, playfully chasing butterflies and tumbling together in a lush wildflower meadow, warm golden sunrise light with god rays and dew sparkles, joyful wholesome vibe, 8K masterpiece.”
“A glass cube on a wooden table. Inside the cube is a small blue sphere. On top of the cube sits a red book. A green plant is behind the cube, partially visible through the glass. Soft window light from the left.”
“Hyper-photorealistic full-body portrait of a female superhero standing triumphantly on a New York skyscraper rooftop at golden sunset, wearing a classic modest superhero costume with flowing cape, chest emblem, gloves, and boots in red and blue colors, practical design, short hair, strong determined heroic expression looking into the distance, powerful confident stance with hands on hips and cape billowing dramatically in the wind, detailed urban cityscape background, warm natural sunlight with sharp shadows and fabric highlights, ultra-sharp textures on suit, hair, and concrete, 8K masterpiece, empowering family-friendly style.”
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 2
Challenge: Studio Ghibli Anime Style
33% W · 33% L · 33% T
vs Nano Banana
Challenge: Neutral Expression to Genuine Smile
50% W · 50% L
vs Nano Banana Pro
Challenge: Victorian Greenhouse Oasis
50% W · 50% L
vs Nano Banana Pro
Challenge: Bald man challenge
0% W · 100% L
vs Nano Banana 2
Challenge: Over-the-top cartoon caricature
50% W · 50% 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 23 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.