Reve AI's text-to-image generation model with strong aesthetic quality, accurate text rendering, and detailed instruction following capabilities
Details
reve
Providers & Pricing (2)
Reve Image 1.0 is available from 2 providers, with per-image pricing starting at $0.04 through fal.ai.
fal/reve
replicate/reve
Output
Pricing Notes (2)
- • Text-to-image generation with editing capabilities
- • Preserves spatial relationships and structure
Provider Performance
Fastest generation through fal at 6,952ms median latency with 82.1% 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 | fal | 6,952ms | 23,676ms | 82.1% | 7,012ms |
| 2 | replicate | 7,408ms | 23,357ms | 85.5% | 7,408ms |
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.
https://api.lumenfall.ai/openai/v1
reve
Text to Image Generate
Create images from text descriptions
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": "..." }] }
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);
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 Edit
Transform existing images with text instructions
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)
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.
Competition Results
Victorian Greenhouse Oasis
Text-to-Image“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.”
Studio Ghibli Anime Style
Image Editing“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”
Geometric Composition
Text-to-Image“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.”
Bald man challenge
Image Editing“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”
Night Sky Transformation
Image Editing“Change the scene to night: a deep, dark sky with subtle, glistening stars visible behind the mountain.”
Isometric Miniature Diorama Scenes
Text-to-Image“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.”
Fantasy Warrior
Text-to-Image“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.”
Neutral Expression to Genuine Smile
Image Editing{
"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"
}
Apollo 11: Journey to Tranquility
Text-to-Image“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.”
Golden Hour Stroll
Image Editing“Add dynamic motion to this photo: make hair blow in the wind, add leaves flying, energetic and lively feel.”
Over-the-top cartoon caricature
Image Editing“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.”
Fantasy Warrior
Text-to-Image“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.”
Best for
All categoriesGallery
View all 17 imagesReve Image 1.0 FAQ
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.
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.
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.
Top Matchups
See how Reve Image 1.0 performs head-to-head against other AI image models, ranked by community votes in blind comparisons.
Try Reve Image 1.0 in Playground
Generate images with custom prompts — no API key needed.