# Reve Image 1.0

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

## Quick Reference

- Model ID: reve
- Creator: Reve AI
- Status: active
- Family: reve
- Base URL: https://api.lumenfall.ai/openai/v1

## Specifications

- Input Modalities: text, image
- Output Modalities: image

## Model Identifiers

- Primary Slug: reve
- Aliases: reve-image-1

## Dates


## Tags

image-generation, text-to-image, image-editing, typography

## Available Providers

### fal.ai

- Config Key: fal/reve
- Provider Model ID: fal-ai/reve/text-to-image
- Pricing:
  - source: official
  - currency: USD
  - components: [{"type" => "output", "metric" => "image", "unit_price" => 0.04}]
  - source_url: https://fal.ai/models/fal-ai/reve/text-to-image
  - effective_at: 2025-12-29

### Replicate

- Config Key: replicate/reve
- Provider Model ID: reve/create
- Pricing:
  - notes: ["Text-to-image generation with editing capabilities", "Preserves spatial relationships and structure"]
  - source: official
  - currency: USD
  - components: [{"type" => "output", "metric" => "image", "unit_price" => 0.04}]
  - source_url: https://replicate.com/reve/create
  - effective_at: 2026-01-02


## Performance Metrics

Provider performance over the last 30 days.

### fal

- Median Generation Time (p50): 6952ms
- 95th Percentile Generation Time (p95): 23676ms
- Average Generation Time: 12093ms
- Success Rate: 82.1%
- Total Requests: 56
- Time to First Byte (p50): 7012ms
- Time to First Byte (p95): 23700ms

### replicate

- Median Generation Time (p50): 7408ms
- 95th Percentile Generation Time (p95): 23357ms
- Average Generation Time: 11829ms
- Success Rate: 85.5%
- Total Requests: 83
- Time to First Byte (p50): 7408ms
- Time to First Byte (p95): 23846ms


## Arena Benchmarks

### Victorian Greenhouse Oasis

- Elo: 1199
- Record: 8W / 13L / 3T (24 battles)
- Rank: #5 of 17

### Studio Ghibli Anime Style

- Elo: 1170
- Record: 12W / 10L / 1T (23 battles)
- Rank: #9 of 13

### Geometric Composition

- Elo: 1159
- Record: 3W / 18L / 2T (23 battles)
- Rank: #14 of 22

### Bald man challenge

- Elo: 1147
- Record: 5W / 13L / 1T (19 battles)
- Rank: #9 of 14

### Night Sky Transformation

- Elo: 1128
- Record: 4W / 10L / 2T (16 battles)
- Rank: #12 of 15

### Isometric Miniature Diorama Scenes

- Elo: 1127
- Record: 3W / 16L / 1T (20 battles)
- Rank: #17 of 19

### Fantasy Warrior

- Elo: 1116
- Record: 7W / 12L / 0T (19 battles)
- Rank: #16 of 19

### Neutral Expression to Genuine Smile

- Elo: 1113
- Record: 2W / 13L / 4T (19 battles)
- Rank: #11 of 12

### Apollo 11: Journey to Tranquility

- Elo: 1100
- Record: 2W / 15L / 0T (17 battles)
- Rank: #15 of 19

### Golden Hour Stroll

- Elo: 1070
- Record: 4W / 19L / 2T (25 battles)
- Rank: #11 of 12

### Over-the-top cartoon caricature

- Elo: 1059
- Record: 4W / 21L / 1T (26 battles)
- Rank: #13 of 13

### Fantasy Warrior

- Elo: 990
- Record: 0W / 5L / 3T (8 battles)
- Rank: #13 of 14


## Use Cases & Category Performance

### Anime (Image Editing)

- Rank: #5 of 13
- Elo: 1200
- Record: 11W / 9L / 1T (21 battles)
- Win Rate: 52.4%

### Portrait (Text-to-Image)

- Rank: #13 of 19
- Elo: 1158
- Record: 7W / 12L / 0T (19 battles)
- Win Rate: 36.8%

### Photorealism (Image Editing)

- Rank: #14 of 16
- Elo: 1175
- Record: 15W / 55L / 9T (79 battles)
- Win Rate: 19.0%

### Portrait (Image Editing)

- Rank: #13 of 14
- Elo: 1168
- Record: 7W / 26L / 5T (38 battles)
- Win Rate: 18.4%

### Text Rendering (Text-to-Image)

- Rank: #21 of 21
- Elo: 1111
- Record: 2W / 15L / 0T (17 battles)
- Win Rate: 11.8%


## Image Gallery

17 images available for this model.
- Curated examples: 5
  - "A hyper-realistic cinematic wide shot of a master calligrapher’s studio perched atop a misty Himalayan peak, where a ..."
  - "Cinematic wide shot of a sophisticated, high-end boutique storefront at dusk. The warm, golden interior glow spills o..."
  - "A hyper-realistic cinematic close-up of a vintage brass orrery, intricate gears and celestial spheres crafted from po..."
  - "A hyper-realistic cinematic close-up of an elderly craftsman's hands carefully assembling a complex vintage watch mec..."
  - "A sun-drenched coastal flower shop with a large chalkboard sign out front that says "FRESH BLOOMS & WILD PEONIES" in ..."
- Competition results: 12
  - Victorian Greenhouse Oasis: #5 of 17 (Elo 1199)
  - Studio Ghibli Anime Style: #9 of 13 (Elo 1170)
  - Geometric Composition: #14 of 22 (Elo 1159)
  - Bald man challenge: #9 of 14 (Elo 1147)
  - Night Sky Transformation: #12 of 15 (Elo 1128)
  - Isometric Miniature Diorama Scenes: #17 of 19 (Elo 1127)
  - Fantasy Warrior: #16 of 19 (Elo 1116)
  - Neutral Expression to Genuine Smile: #11 of 12 (Elo 1113)
  - Apollo 11: Journey to Tranquility: #15 of 19 (Elo 1100)
  - Golden Hour Stroll: #11 of 12 (Elo 1070)
  - Over-the-top cartoon caricature: #13 of 13 (Elo 1059)
  - Fantasy Warrior: #13 of 14 (Elo 990)

## Example Prompt

The following prompt was used to generate an example image in our playground:

A sun-drenched coastal flower shop with a large chalkboard sign out front that says "FRESH BLOOMS & WILD PEONIES" in elegant cursive. A calm capybara is resting peacefully on the cool tiles by the door, partially hidden by a bucket of lilies.

## Code Examples

### Text to Image (Generation)

#### cURL

curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/generations \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "reve",
    "prompt": "A serene mountain landscape at sunset",
    "size": "1024x1024"
  }'

# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

#### JavaScript

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: 'reve',
  prompt: 'A serene mountain landscape at sunset',
  size: '1024x1024'
});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);

#### Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.lumenfall.ai/openai/v1"
)

response = client.images.generate(
    model="reve",
    prompt="A serene mountain landscape at sunset",
    size="1024x1024"
)

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)

### Image Editing

#### cURL

curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/edits \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -F "model=reve" \
  -F "image=@source.png" \
  -F "prompt=Add a starry night sky to this image" \
  -F "size=1024x1024"

# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

#### JavaScript

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);

#### Python

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)


## About

## 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.

## Frequently Asked Questions

### 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.

## Links

- Model Page: https://lumenfall.ai/models/reve-ai/reve
- About: https://lumenfall.ai/models/reve-ai/reve/about
- Providers, Pricing & Performance: https://lumenfall.ai/models/reve-ai/reve/providers
- API Reference: https://lumenfall.ai/models/reve-ai/reve/api
- Benchmarks: https://lumenfall.ai/models/reve-ai/reve/benchmarks
- Use Cases: https://lumenfall.ai/models/reve-ai/reve/use-cases
- Gallery: https://lumenfall.ai/models/reve-ai/reve/gallery
- Playground: https://lumenfall.ai/playground?model=reve
- API Documentation: https://docs.lumenfall.ai