Google's Imagen 4.0 Ultra model offering the highest fidelity and resolution for professional-grade image generation
imagen-4.0-ultra-generate-001
Access imagen-4.0-ultra-generate-001 via our unified API.
Starting from
Prices shown are in USD
See all providersImagen 4.0 Ultra Generate 001 is available from 4 providers, with per-image pricing starting at $0.06 through fal.ai.
fal/imagen-4.0-ultra-generate-001
gemini/imagen-4.0-ultra-generate-001
replicate/imagen-4.0-ultra-generate-001
vertex/imagen-4.0-ultra-generate-001
Integrate Imagen 4.0 Ultra Generate 001 into your workflow to generate high-resolution, text-to-image assets via Lumenfall's unified OpenAI-compatible endpoint.
https://api.lumenfall.ai/openai/v1
imagen-4.0-ultra-generate-001
curl -X POST \ https://api.lumenfall.ai/openai/v1/images/generations \ -H "Authorization: Bearer $LUMENFALL_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "imagen-4.0-ultra-generate-001", "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: 'imagen-4.0-ultra-generate-001', prompt: '', size: '1024x1024'});// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }console.log(response.data[0].url);from openai import OpenAIclient = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.lumenfall.ai/openai/v1")response = client.images.generate( model="imagen-4.0-ultra-generate-001", prompt="", size="1024x1024")# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }print(response.data[0].url)| Parameter | Type | Description | Modes |
|---|---|---|---|
prompt
|
string | Required. Text prompt for image generation |
T2I
|
negative_prompt
|
string | Negative prompt to guide generation away from undesired content |
T2I
|
seed
|
integer | Random seed for reproducibility |
T2I
|
| 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
|
aspect_ratio
|
string |
Aspect ratio of the output image (e.g. "16:9", "1:1")
9:16
3:4
1:1
4:3
16:9
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
|
resolution
|
string |
Output resolution tier (e.g. "1K", "4K")
1K
2K
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
|
| 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"
|
| 768 × 1365 | "768x1365" |
or |
"9:16"
+
"1K"
|
| 1365 × 768 | "1365x768" |
or |
"16:9"
+
"1K"
|
| Output |
size
|
aspect_ratio
+
resolution
|
|
|---|---|---|---|
| 1774 × 2365 | "1774x2365" |
or |
"3:4"
+
"2K"
|
| 2365 × 1774 | "2365x1774" |
or |
"4:3"
+
"2K"
|
| 1536 × 2731 | "1536x2731" |
or |
"9:16"
+
"2K"
|
| 2731 × 1536 | "2731x1536" |
or |
"16:9"
+
"2K"
|
| 2048 × 2048 | "2048x2048" |
or |
"1:1"
+
"2K"
|
size
Exact pixel dimensions
"1920x1080"
aspect_ratio
Shape only, default scale
"16:9"
resolution
Scale tier, preserves shape
"1K"
size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.
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.
| Parameter | Type | Description | Modes |
|---|---|---|---|
response_format
|
string |
How to return the image
url
b64_json
Default:
"url" |
T2I
|
output_format
|
string |
Output image format
png
jpeg
gif
webp
avif
Gateway converts to requested format if provider doesn't support it natively.
|
T2I
|
output_compression
|
integer | Compression level for lossy formats (JPEG, WebP, AVIF) |
T2I
|
n
|
integer |
Number of images to generate
Default:
1Gateway generates multiple images in parallel even if provider only supports 1.
|
T2I
|
| Parameter | Type | Description | Modes |
|---|---|---|---|
image_size
replicate
|
string |
Resolution of the generated image
1K
2K
|
T2I
|
personGeneration
gemini
|
string |
Whether to allow generation of people. 'allow_adult' permits adults only; 'dont_allow' blocks all human generation.
allow_adult
dont_allow
|
T2I
|
safety_filter_level
replicate
|
string |
block_low_and_above is strictest, block_medium_and_above blocks some prompts, block_only_high is most permissive but some prompts will still be blocked
block_low_and_above
block_medium_and_above
block_only_high
|
T2I
|
safety_tolerance
fal
|
string |
The safety tolerance level for content moderation. 1 is the most strict (blocks most content), 6 is the least strict.
1
2
3
4
5
6
|
T2I
|
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
|
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.
Google's Imagen 4.0 Ultra Generate 001 occupies the #20 spot in the global Text-to-Image arena with an Elo rating of 1226. It maintains a competitive presence among professional-grade models for high-resolution media generation.
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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 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.”
“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.”
See how Imagen 4.0 Ultra Generate 001 performs head-to-head against other AI models, ranked by community votes in blind comparisons.
vs FLUX.2 [dev] Turbo
Challenge: Geometric Composition
0% W · 100% L
vs GPT Image 1.5
Challenge: Vintage Cafe Logo
0% W · 100% L
vs Stable Diffusion 3.5 Large
Challenge: Apollo 11: Journey to Tranquility
50% W · 50% L
vs ImagineArt 1.5 (Preview)
Challenge: Heroic Super Hero Portrait
0% W · 50% L · 50% T
vs FLUX.2 [dev] Turbo
Challenge: Intricate Floral Mandala
0% W · 100% L
The model performs best in Product, Branding & Commercial contexts where it ranks #14 with a 38.9% win rate, though it struggles in Photorealism with an 8.3% win rate. It provides moderate utility for Text Rendering tasks, currently ranking #19 of 21 tested models.
Imagen 4.0 Ultra Generate 001 starts at $0.06 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.
You can use Imagen 4.0 Ultra Generate 001 through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "imagen-4.0-ultra-generate-001". Code examples are available in Python, JavaScript, and cURL.
Imagen 4.0 Ultra Generate 001 is available through Vertex AI, fal.ai, Replicate, and Gemini API on Lumenfall. Lumenfall automatically routes requests to the best available provider.
Imagen 4.0 Ultra Generate 001 is Google’s high-fidelity flagship text-to-image model, engineered for professional-grade creative workflows. It serves as the top-tier offering in the Imagen 4 family, prioritizing photochemical realism, intricate detail, and high-resolution output over processing speed. The model is designed to translate complex natural language prompts into visually coherent assets with a focus on aesthetic quality and structural accuracy.
Imagen 4.0 Ultra utilizes a transformer-based diffusion architecture, transitioning from earlier U-Net designs to leverage the scaling laws seen in large language models. The training process incorporates a massive dataset of high-resolution images paired with descriptive, high-quality captions to bridge the gap between human intent and visual execution. A key technical focus for this version is the refined latent space, which allows the model to handle higher pixel density without introducing artifacts.
This model is best suited for visual content creation where quality is non-negotiable, such as digital marketing campaigns, concept art for film and gaming, and professional architectural visualizations. It is particularly effective for designers who need to produce “hero” assets that require minimal manual retouching.
Imagen 4.0 Ultra Generate 001 is available for integration and testing through Lumenfall’s unified API and playground, providing a streamlined environment to compare its output alongside other industry-leading generative models.
Generate images with custom prompts — no API key needed.
