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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: 'flux/schnell',
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": "flux/schnell",
"prompt": "A jellyfish in the ocean",
},
)
response.raise_for_status()
data = response.json()
print("Generation:", data)
if __name__ == "__main__":
main()
-
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Product Detail
Discover FLUX.1 [schnell]: High-Performance Text-to-Image AI
Unleash your creativity with FLUX.1 [schnell], a cutting-edge text-to-image generation model engineered to produce stunning, high-quality visuals from simple text descriptions. Developed by Black Forest Labs, this powerful AI model is set to redefine digital art, graphic design, and rapid prototyping with its unparalleled speed and quality.
🚀 Key Highlights of FLUX.1 [schnell]
- Model Name: FLUX.1 [schnell]
- Developer: Black Forest Labs
- Release Date: August 2, 2024
- Version: 1.0
- Model Type: Text-to-Image Generation (12 Billion Parameters)
Core Capabilities and Features
FLUX.1 [schnell] stands out with its robust architecture and innovative generation techniques, delivering results that rival industry-leading proprietary models.
✨ Advanced Features:
- Rapid Generation: Creates high-quality images in just 1 to 4 steps.
- Superior Quality: Employs latent adversarial diffusion distillation for enhanced visual output.
- Precise Prompt Following: Achieves competitive accuracy in interpreting and visualizing complex text prompts.
- Open-Source Freedom: Available under the Apache 2.0 license, empowering personal, scientific, and commercial innovation.
Intended Use Cases
This model is an invaluable asset for a diverse range of applications requiring top-tier image synthesis.
💡 Ideal For:
- Graphic Design: Generate unique visuals for marketing, branding, and creative projects.
- Digital Art: Empower artists with a tool to quickly bring imaginative concepts to life.
- Rapid Prototyping: Accelerate design cycles by visualizing ideas instantly.
- Commercial Development: Integrate advanced image generation into applications and services.
Technical Deep Dive
⚙️ Architecture:
FLUX.1 [schnell] utilizes an innovative hybrid architecture, blending multimodal and parallel diffusion transformer blocks. This sophisticated structure facilitates effective flow matching, enhancing the model's capacity to generate detailed images that closely align with user prompts.
📚 Training Data:
The model was trained on a vast and diverse dataset, comprising millions of images paired with descriptive text sourced from various online platforms. This extensive training ensures a broad understanding of visual styles and concepts, contributing to the model's robustness across different contexts.
🗓️ Knowledge Cutoff:
FLUX.1 [schnell]'s knowledge base is current as of August 2024, influencing its comprehension of contemporary references and trends.
⚖️ Diversity and Bias:
While significant efforts have been made to ensure a diverse training dataset, like all AI models, FLUX.1 [schnell] may still reflect inherent societal biases present in its data. Users are advised to apply ethical considerations during deployment to mitigate potential issues.
Performance Benchmarks
Experience uncompromised quality and speed with FLUX.1 [schnell]'s impressive performance metrics.
- Accuracy: Output quality is highly comparable to leading models like DALL-E and Midjourney, achieving exceptional image fidelity.
- Speed: Generates images in approximately 23 seconds, even on machines without GPUs, making it suitable for real-time applications.
- Robustness: Demonstrates strong performance across diverse input types, effectively handling complex prompts and generating varied outputs.
API & Usage Information
💲 API Pricing:
- Cost per Generation: 0.00315
🌐 Language Support:
The model primarily supports English but is capable of processing text prompts in multiple languages, with performance varying based on input complexity.
📝 API Documentation:
For comprehensive details and integration guides, please refer to the official documentation: Generating Images with FLUX.
💻 Code Samples:
Ethical Guidelines & Licensing
Black Forest Labs is committed to responsible AI development. FLUX.1 [schnell] integrates robust ethical guidelines to ensure safe and beneficial use.
🛡️ Ethical Usage:
- Prohibition: Generation of misleading or harmful content is strictly forbidden.
- Restrictions: Creation of non-consensual or exploitative imagery is not permitted.
- Prevention: Guidelines are in place to prevent content that could harm individuals or groups.
📜 Licensing:
FLUX.1 [schnell] is released under the Apache 2.0 license. This permits both commercial and non-commercial utilization, provided users adhere to the ethical guidelines established by Black Forest Labs.
Frequently Asked Questions (FAQ)
Q1: What is FLUX.1 [schnell]?
FLUX.1 [schnell] is a state-of-the-art text-to-image AI model developed by Black Forest Labs. It's designed to generate high-quality images quickly from textual descriptions, featuring a 12-billion parameter architecture.
Q2: How fast can FLUX.1 [schnell] generate images?
It can generate high-quality images in approximately 23 seconds, even on systems without dedicated GPUs, and completes image generation in just 1 to 4 steps.
Q3: Is FLUX.1 [schnell] an open-source model?
Yes, FLUX.1 [schnell] is released under the Apache 2.0 license, allowing for free personal, scientific, and commercial use, provided users adhere to the specified ethical guidelines.
Q4: What kind of applications is FLUX.1 [schnell] suitable for?
It is ideal for graphic design, digital art, rapid prototyping, and integrating advanced image synthesis capabilities into commercial development projects.
Q5: How does FLUX.1 [schnell] address ethical concerns?
The model incorporates ethical guidelines to prevent misuse, prohibiting the generation of misleading, harmful, non-consensual, or exploitative content, ensuring responsible AI deployment.
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