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const main = async () => {
const response = await fetch('https://api.ai.cc/v1/images/generations', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'reve/create-image',
prompt: 'A jellyfish in the ocean',
}),
}).then((res) => res.json());
console.log('Generation:', response);
};
main();
import requests
def main():
response = requests.post(
"https://api.ai.cc/v1/images/generations",
headers={
"Authorization": "Bearer ",
"Content-Type": "application/json",
},
json={
"model": "reve/create-image",
"prompt": "A jellyfish in the ocean",
},
)
response.raise_for_status()
data = response.json()
print("Generation:", data)
if __name__ == "__main__":
main()
-
AI Playground
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We provide more than 300 models to integrate into your app.
Product Detail
Reve Create Image stands as a premier AI image generation model, engineered for unparalleled prompt adherence, superior text rendering, and commercial-grade visual outputs. It masterfully handles complex multi-object compositions and spatial reasoning, delivering precise, intricate images perfectly suited for marketing, design, and branding initiatives.
Technical Specifications
- ✅ Resolution: Native 2048x2048 px, with optional 4K upscaling maintaining 92% detail accuracy.
- ⚙️ Architecture: Hybrid diffusion model synergized with advanced semantic analysis.
- 💡 Prompt Capacity: Efficiently manages complex prompts containing 5-7 distinct elements with an 89% success rate in independent evaluations.
- ✍️ Text Handling: Features the patented TypoGuard system for semantic context interpretation and vector-based font synthesis, ensuring flawless text.
Performance Benchmarks
- Prompt Adherence: 98% accuracy, significantly surpassing typical competitors (~85%).
- Text Rendering: Achieves 100% legibility in generated text, a 300% improvement over Stable Diffusion 3.
- Multi-Object Composition: 89% successful complex multi-element renderings, compared to an industry standard of ~70-75%.
- Detail Retention: Maintains 92% detail accuracy on upscaled images, outperforming some leading models at 78%.
- User Ratings: Ranked #1 in image generation quality by Artificial Analysis, surpassing MidJourney v6.1, Imagen 3, and Recraft V3.
Key Features
- ✨ Prompt Adherence: Proprietary text comprehension algorithms guarantee 98% fidelity to user prompts, outperforming peers like MidJourney and Flux.
- 🔄 Hybrid Diffusion Architecture: Enables perfect typography and detailed, sharp visual elements in resolutions up to 2048x2048 with optional 4K upscaling.
- ✍️ Patented TypoGuard Technology: A two-stage text rendering system ensures 100% legible, style-appropriate text within images—an industry first for AI generators.
- 💰 Full Commercial Ownership: Full commercial rights are included, even on the free tier, making it ideal for e-commerce, branding, and publishing visuals.
API Pricing
Only $0.0252 per generation!
Use Cases
- 📸 Product Photography: Create high-quality e-commerce visuals with precise branding elements.
- 📊 Marketing Creatives: Generate sharp, readable text within images (e.g., logos, labels) for impactful campaigns.
- 🖼️ Complex Scene Composition: Design intricate scenes with multiple distinct elements and accurate spatial arrangement.
- 📱 Social Media Content: Produce engaging content with style consistency and fine detail for various platforms.
- 💡 Rapid Prototyping: Develop quick prototype designs and conceptual art with full commercial ownership rights.
Code Sample
Comparison with Other Leading Models
Vs. MidJourney
Reve distinguishes itself with exceptional prompt adherence and perfect text rendering via its patented TypoGuard system, making it ideal for images requiring detailed typography and multi-object scenes. MidJourney, while excelling in artistic lighting and cinematic style, often compromises on text accuracy and carries a higher subscription cost. Reve offers greater diversity in photorealistic portraits, whereas MidJourney generally leads in dynamic, painterly aesthetics.
Vs. Google Imagen 3
Reve outperforms Imagen in prompt fidelity and text integration, producing clearer, commercially usable visuals for complex scenes. Imagen shines in photorealistic detail and style consistency but struggles with embedding legible text and flexible commercial rights. Reve's hybrid diffusion and semantic parsing provide superior compositional control over multiple distinct objects compared to Imagen's diffusion-focused approach.
Vs. Flux AI
Both Reve and Flux prioritize prompt understanding. However, Reve surpasses Flux in text handling and multi-object scene composition accuracy. Flux offers greater customization and community features, often favored by users seeking creative flexibility. Reve is more cost-efficient and provides full commercial use even on free tiers, making it better suited for professional content creators who demand reliable, crisp outputs.
API Integration
Accessible via AI/ML API. For comprehensive documentation, please refer to: Reve Create Image API Documentation.
Frequently Asked Questions (FAQ)
❓ What generative architecture powers Reve Create Image's photorealistic and artistic synthesis?
Reve Create Image utilizes a hybrid diffusion-transformer architecture, combining stable progressive denoising with contextual attention mechanisms. It features multi-scale generation pipelines, style-adaptive normalization, and semantic-aware sampling to ensure high-resolution outputs with consistent quality.
❓ How does Reve Create Image achieve its exceptional prompt adherence and compositional coherence?
The model employs sophisticated cross-modal alignment through contrastive learning, understanding spatial relationships and object attributes described in prompts. Advanced constraint satisfaction and iterative refinement ensure all specified elements are present and coherently integrated.
❓ What specialized artistic and technical capabilities distinguish this image generation model?
Reve Create Image excels in photorealistic rendering, diverse artistic style emulation, technical illustration, architectural visualization, and character design. It understands professional terminology across various creative domains and adapts output to specific industry standards.
❓ How does the model handle complex, multi-element prompts while maintaining visual harmony?
Its architecture features hierarchical prompt processing to identify and integrate subjects, elements, and context through learned compositional principles. Advanced scene graph understanding and color harmony networks ensure logical progression and visual balance.
❓ What creative control and customization options does Reve Create Image provide?
Users have extensive control over style parameters, composition, lighting, color palettes, and element-specific refinement. It supports reference images for style transfer, aspect ratio/resolution control, and iterative adjustments for various professional applications.
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