Reve AI

Reve Image 1.0

Name: Reve Image 1.0
Brand: Reve AI
Price: 0.04 USD
Availability: InStock

AI Image Editing Model

Mode:

Image Featured

Reve AI's text-to-image generation model with strong aesthetic quality, accurate text rendering, and detailed instruction following capabilities

Reve Image 1.0 generated image of A hyper-realistic cinematic close-up of a vintage brass orrery, intricate gea...

Reve Image 1.0 generated image of A hyper-realistic cinematic close-up of an elderly craftsman's hands carefull...

Try Model Benchmark examples

Supported Modes

Text to Image Image Edit

Active

Details

Model ID

reve

Also known as: reve-image-1

Creator

Reve AI

Family

reve

Released

March 2025

Ready to integrate?

Access reve via our unified API.

Create Account

Available at 2 providers

Starting from

$0.040 /image via fal.ai, Replicate

Prices shown are in USD

See all providers

Providers & Pricing (2)

Reve Image 1.0 is available from 2 providers, with per-image pricing starting at $0.04 through fal.ai.

fal.ai

Image Edit

fal/reve-edit

Provider Model ID: fal-ai/reve/edit

$0.040 /image

View pricing details

Replicate

Image Edit

replicate/reve--edit

Provider Model ID: reve/edit

Output

Image

$0.040 per image

Pricing Notes (1)

• Image editing endpoint for the Reve model

View official pricing • As of Jan 02, 2026

reve-image-1 API OpenAI-compatible

Lumenfall provides programmatic access to Reve Image 1.0 via a unified OpenAI-compatible API, allowing developers to generate high-fidelity images and perform complex image editing through a single integration. Integrate Reve AI's text-to-image capabilities into any workflow using standard HTTP requests for visual media production.

Base URL

https://api.lumenfall.ai/openai/v1

Model

reve

Code Examples

Image Edit

/v1/images/edits

curl -X POST \

  https://api.lumenfall.ai/openai/v1/images/edits \

  -H "Authorization: Bearer $LUMENFALL_API_KEY" \

  -F "model=reve" \

  -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: 'reve',

  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="reve",

    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

Required Supported Not available

Core Parameters

Parameter	Type	Description	Modes
`prompt`	string	Required. Text prompt for image generation	T2I Edit
`seed`	integer	Random seed for reproducibility	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") `1365x768` `768x1365` `1254x836` `836x1254` `887x1182` `1024x1024` `1183x887` 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") `9:16` `2:3` `3:4` `1:1` `4:3` `3:2` `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 Edit
`resolution`	string	Output resolution tier (e.g. "1K", "4K") `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

1K 7 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"`

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 › aspect_ratio + resolution › aspect_ratio › resolution

size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.

How matching works

Shape matching – we pick the closest supported ratio. Ask for 7:1 on a model with 4:1 and 8:1, you get 8:1.

Scale matching – providers use different tier formats: K tiers (0.5K 1K 2K 4K) or megapixel tiers (0.25 1). If the exact tier isn't available, you get the nearest one.

Dimension clamping – if a model has pixel limits, we clamp dimensions to fit and keep the aspect ratio intact.

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: `1` Gateway 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
`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
`version`	string	The specific model version to use when generating the image `latest` `latest-fast` `reve-create@20250915` `reve-edit-fast@20251030` `reve-edit@20250915`	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.

Full API Reference Authentication, endpoints, and more

Reve Image 1.0 Benchmarks

Reve Image 1.0 maintains a competitive position in the text-to-image arena with an Elo rating of 1204 and ranks 15th overall for image editing tasks. In standardized head-to-head comparisons, the model achieved an Elo of 1171 specifically for visual modification capabilities.

Lumenfall Arena

#32

Text-to-Image

1192 Elo

Lumenfall Arena

#15

Image Editing

1195 Elo

Image Editing Landscape

Elo vs Cost

1 model without pricing omitted

Elo vs Speed

6 models waiting for enough speed data

Competition Results

Image Editing

Photorealism

View leaderboard

Reve Image 1.0 edited result for Golden Hour Stroll

Original image before Reve Image 1.0 editing

Before After

Golden Hour Stroll

13 models

Image Editing

Edit instruction

“Add dynamic motion to this photo: make hair blow in the wind, add leaves flying, energetic and lively feel.”

Reve Image 1.0 edited result for Bald man challenge

Before After

#12

Bald man challenge

15 models

Image Editing

Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Reve Image 1.0 edited result for Night Sky Transformation

Before After

Night Sky Transformation

16 models

Image Editing

Edit instruction

“Change the scene to night: a deep, dark sky with subtle, glistening stars visible behind the mountain.”

3 attempts – showing best result

Reve Image 1.0 edited result for Neutral Expression to Genuine Smile

Before After

#14

Neutral Expression to Genuine Smile

14 models

Image Editing

Edit instruction

{
  "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"
}

3 attempts – showing best result

Image Editing

Anime

View leaderboard

Studio Ghibli Anime Style

14 models

Image Editing

Source

Edit instruction

“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”

Image Editing

Portrait

View leaderboard

Before After

#12

Bald man challenge

15 models

Image Editing

Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Before After

#14

Neutral Expression to Genuine Smile

14 models

Image Editing

Edit instruction

{
  "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"
}

3 attempts – showing best result

Uncategorized

#12

Over-the-top cartoon caricature

13 models

Image Editing

Source

Edit instruction

“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.”

Top Matchups

See how Reve Image 1.0 performs head-to-head against other AI models, ranked by community votes in blind comparisons.

vs Wan 2.6

Challenge: Golden Hour Stroll

0% W · 100% L

vs Nano Banana

Challenge: Bald man challenge

0% W · 100% L

vs Nano Banana 2

Challenge: Fantasy Warrior

0% W · 100% L

vs Nano Banana 2

Challenge: Over-the-top cartoon caricature

0% W · 100% L

vs FLUX.2 [max]

Challenge: Studio Ghibli Anime Style

100% W · 0% L

Use Cases

See all Use Cases

The model demonstrates its strongest performance in the anime category, securing rank 5 out of 13 with a 52.4% win rate. It shows lower proficiency in text rendering and photorealism, where it currently ranks near the bottom of performance leaderboards with win rates below 20%.

#9 of 14

Anime

Edit · 56.4% win rate

#14 of 18

Photorealism

Edit · 29.4% win rate

#14 of 15

Portrait

Edit · 16.9% win rate

Gallery

View all 6 images

Reve Image 1.0 FAQ

How much does Reve Image 1.0 cost?

Reve Image 1.0 starts at $0.04 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

How do I use Reve Image 1.0 via API?

You can use Reve Image 1.0 through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "reve". Code examples are available in Python, JavaScript, and cURL.

Which providers offer Reve Image 1.0?

Reve Image 1.0 is available through fal.ai and Replicate on Lumenfall. Lumenfall automatically routes requests to the best available provider.

Overview

Reve Image 1.0 is a high-fidelity text-to-image model developed by Reve AI that prioritizes visual aesthetics and precise instruction adherence. Unlike many early-generation diffusion models that struggle with complex prompts, Reve 1.0 is engineered to maintain high compositional integrity and detailed attribute mapping. It is particularly distinctive for its ability to render legible, accurate typography directly within generated images.

Strengths

Typography and Text Rendering: The model excels at embedding clear, correctly spelled text into images, making it suitable for graphic design assets, logos, and posters.
Instruction Following: It demonstrates a high degree of sensitivity to complex, multi-part prompts, accurately placing objects and applying specific colors or textures as described.
Aesthetic Quality: The model produces outputs with a polished, professional look, showing particular strength in lighting, skin textures, and balanced photographic compositions.
Multimodal Input: It supports both text-to-image and image-to-image workflows, allowing for fine-grained control over layout and style through reference images.

Limitations

Computational Cost: With a starting price around $0.04 per generation, it carries a higher per-image cost than many standard open-weights models or optimized distilled versions.
Anatomical Edge Cases: While highly capable, it may still produce artifacts in complex human poses or high-density crowd scenes, similar to other models in the current diffusion generation.
Inference Latency: Given its focus on high-detail output and aesthetic quality, it may have a longer generation time compared to “turbo” or lightning-fast latent consistency models.

Technical Background

Reve Image 1.0 is a diffusion-based model designed around a large-scale transformer architecture optimized for visual-textual alignment. While specific architectural details are proprietary, its training pipeline emphasizes high-quality captioned datasets to improve the semantic connection between user prompts and pixel generation. The model utilizes advanced sampling techniques to achieve its signature sharpness and textural detail.

Best For

This model is best suited for professional creative workflows where visual fidelity and typographic accuracy are non-negotiable, such as social media marketing, UI/UX concepting, and digital illustration. It is a strong choice for users who need a “first-shot” generation that requires minimal post-processing or manual image editing to fix text errors. Reve Image 1.0 is available through Lumenfall’s unified API and playground, allowing developers to integrate its high-aesthetic outputs into their own applications alongside other leading generative models.

Try Reve Image 1.0 in Playground

Generate images with custom prompts — no API key needed.

Open Playground