Google's latest Imagen 4.0 text-to-image generation model with significantly better text rendering and overall image quality
imagen-4.0-generate-001
Access imagen-4.0-generate-001 via our unified API.
Starting from
Prices shown are in USD
See all providersImagen 4.0 Generate 001 is available from 4 providers, with per-image pricing starting at $0.04 through fal.ai.
fal/imagen-4.0-generate-001
gemini/imagen-4.0-generate-001
replicate/imagen-4.0-generate-001
vertex/imagen-4.0-generate-001
Integrate Imagen 4.0 Generate 001 into your workflow via Lumenfall's OpenAI-compatible API to generate high-quality images and precise text-in-image renders.
https://api.lumenfall.ai/openai/v1
imagen-4.0-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-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-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-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
|
| 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")
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")
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
|
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
|
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 Generate 001 holds rank #27 in the Text-to-Image arena with a competitive Elo score of 1146. This model demonstrates significant improvements in text rendering accuracy and compositional fidelity over previous Google iterations.
8 without speed data omitted.
“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.”
See how Imagen 4.0 Generate 001 performs head-to-head against other AI models, ranked by community votes in blind comparisons.
Imagen 4.0 Generate 001 starts at $0.04 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.
You can use Imagen 4.0 Generate 001 through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "imagen-4.0-generate-001". Code examples are available in Python, JavaScript, and cURL.
Imagen 4.0 Generate 001 is available through fal.ai, Vertex AI, Replicate, and Gemini API on Lumenfall. Lumenfall automatically routes requests to the best available provider.
Imagen 4.0 Generate 001 is Google’s fourth-generation text-to-image model, designed to synthesize high-fidelity visuals from natural language descriptions. Developed by Google Research, this iteration focuses on solving long-standing hurdles in diffusion models, specifically the accurate rendering of complex typography and the adherence to detailed, multi-part prompts. It represents a significant architectural leap over the 3.0 series in terms of spatial reasoning and fine-grained detail.
Imagen 4.0 is built upon an evolved transformer-based diffusion architecture, likely utilizing a massive T5-XXL text encoder to deeply understand linguistic semantics before the image synthesis phase begins. This version incorporates a more robust training dataset focused on high-descriptive captions and high-resolution aesthetics. Key technical refinements were made to the sampling process to ensure that textural details remain coherent even at the edges of the frame.
Imagen 4.0 Generate 001 is available for testing and integration through Lumenfall’s unified API and interactive playground, allowing developers to compare its output alongside other industry-leading image models.
Generate images with custom prompts — no API key needed.
