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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({
prompt: 'A jellyfish in the ocean',
model: 'stable-diffusion-v35-large',
}),
}).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={
"prompt": "A jellyfish in the ocean",
"model": "stable-diffusion-v35-large",
},
)
response.raise_for_status()
data = response.json()
print("Generation:", data)
if __name__ == "__main__":
main()
-
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Product Detail
Stable Diffusion 3.5 Large: Unleashing Advanced Text-to-Image Generation
✨ Basic Information
- Model Name: Stable Diffusion 3.5 Large
- Developer/Creator: Stability AI
- Release Date: October 22, 2024
- Version: 3.5
- Model Type: Text-to-Image
Overview
Stable Diffusion 3.5 Large is a cutting-edge text-to-image generative model engineered to produce high-resolution images from textual prompts. It stands out for its capability to generate diverse and superior quality outputs, making it an ideal choice for a wide array of professional applications.
💡 Key Features
- 8 billion parameters for significantly enhanced performance.
- Generates images at resolutions up to 1 megapixel.
- Features a customizable architecture for fine-tuning to specific use cases.
- Delivers efficient performance on standard consumer hardware.
- Supports a wide range of artistic styles without requiring extensive prompting.
Intended Use
This model is purpose-built for diverse applications, including digital art creation, advanced content generation, and any scenario demanding high-quality image synthesis from textual descriptions.
Language Support
While primarily supporting English, its extensive training on diverse datasets enables it to effectively handle prompts in multiple languages.
Deep Dive into Technical Specifications
⚙️ Architecture
Stable Diffusion 3.5 Large leverages a sophisticated Multimodal Diffusion Transformer (MMDiT) architecture. This design uniquely integrates Query-Key Normalization, significantly enhancing both training stability and the diversity of its output.
💾 Training Data
The model was rigorously trained on an expansive variety of datasets, encompassing publicly available images and synthetic data. This diverse training regimen equips the model with a comprehensive understanding of various artistic styles and contextual nuances.
Data Source and Size
Comprising millions of images, the training dataset ensures thorough coverage of visual concepts and styles. While the exact size remains proprietary, it includes meticulously filtered datasets to actively mitigate biases.
⏳ Knowledge Cutoff
The model's knowledge base is up-to-date as of October 2024, aligning precisely with its release date.
⚖️ Diversity and Bias
Significant efforts have been invested in incorporating diverse representations within the training data, aiming to reduce biases related to ethnicity, gender, and other demographic factors. Users are, however, encouraged to remain vigilant regarding potential biases in generated outputs.
Unmatched Performance & Efficiency
🖼️ Image Quality
Optimized for generating images at a resolution of 1 megapixel (e.g., 1024x1024 pixels), the model ensures exceptional detail and clarity. This resolution is strategically chosen for its ideal balance between quality and performance.
🎯 Prompt Adherence
Stable Diffusion 3.5 Large excels in accurately interpreting complex prompts, boasting a market-leading prompt adherence rate. It effectively utilizes advanced encoders (CLIP and T5) to grasp nuanced requests, significantly enhancing its ability to generate images that precisely match user expectations.
🚀 Inference Speed
The model offers highly competitive inference times. Benchmarks show it can generate images in approximately 2.8 to 3.5 seconds on high-end GPUs like the RTX 4090 and RTX 3090, respectively. This speed is remarkable given its superior image quality and complexity.
🔢 Parameter Count
With an impressive 8 billion parameters, Stable Diffusion 3.5 Large is the most powerful model within the Stable Diffusion family, a factor contributing to its superior image generation performance compared to smaller variants.
⚡ Resource Efficiency
Designed for efficiency on consumer hardware, it requires a minimum of 12GB VRAM for optimal performance. It can still operate on lower VRAM configurations through techniques like model quantization, though this may impact speed.
🎨 Fine-Tuning Capability
The model's architecture fully supports extensive fine-tuning, empowering users to customize outputs for specific artistic styles or applications, thus greatly enhancing its versatility across various creative domains.
📈 Batch Processing
Stable Diffusion 3.5 Large supports batch processing, facilitating the simultaneous generation of multiple images. This feature is highly advantageous for workflows demanding rapid output and efficiency.
Benchmarking Against the Best
The Stable Diffusion 3.5 Large (8.1B) model demonstrates top-tier performance, particularly excelling in both Prompt Adherence and Aesthetic Quality when compared to other models in the accompanying graph. With an Elo score exceeding 1020 in both categories, this model showcases improved consistency in generating outputs that align with input prompts while maintaining visually appealing results.
Its performance significantly surpasses that of SD 3.0 Large and stands competitively with FLUX.1 [dev] and FLUX.1 [schnell], reinforcing its strong position for tasks requiring high-fidelity prompt interpretation and aesthetically pleasing outputs in the image generation space.
Getting Started with Stable Diffusion 3.5 Large
💻 Code Samples
The Stable Diffusion 3.5 Large model is readily available on the AI/ML API platform under the identifier "stable-diffusion-v35-large". Developers can access and integrate this powerful model into their applications with ease.
(Specific code snippets for integration would typically be displayed here via a platform's embedding mechanism.)
📄 API Documentation
Comprehensive API Documentation is available to guide users through implementation, detailing endpoints, parameters, and best practices for leveraging the model's capabilities effectively.
Ethical AI & Licensing
💡 Ethical Guidelines
The development of Stable Diffusion 3.5 Large strictly adheres to ethical considerations regarding bias reduction and responsible AI use. Users are strongly encouraged to review the ethical implications and guidelines when deploying this model in real-world applications to ensure responsible and beneficial outcomes.
📜 Licensing
The model is available under the Stability AI Community License, offering flexible terms:
- Non-commercial Use: Free for all research and non-commercial projects.
- Commercial Use: Free for companies with annual revenue under $1 million. Larger organizations are required to obtain an enterprise license.
To get access to the Stable Diffusion 3.5 Large API, you can sign up here.
Frequently Asked Questions
❓ Q: What is Stable Diffusion 3.5 Large?
A: Stable Diffusion 3.5 Large is an advanced text-to-image generative AI model developed by Stability AI, designed to create high-resolution images from textual prompts with superior quality and diversity.
❓ Q: What are the key improvements in version 3.5 Large?
A: Key improvements include an 8-billion parameter count for enhanced performance, generation of images up to 1 megapixel, and significantly improved prompt adherence thanks to its Multimodal Diffusion Transformer (MMDiT) architecture.
❓ Q: What hardware is recommended to run Stable Diffusion 3.5 Large?
A: For optimal performance, a minimum of 12GB VRAM is recommended. The model is designed to run efficiently on consumer hardware, with inference times as low as 2.8-3.5 seconds on high-end GPUs.
❓ Q: Can I use Stable Diffusion 3.5 Large for commercial projects?
A: Yes, it is free for commercial use for companies with annual revenues under $1 million. Larger organizations are required to obtain an enterprise license under the Stability AI Community License.
❓ Q: How does it compare to other text-to-image models?
A: Stable Diffusion 3.5 Large demonstrates market-leading performance in both prompt adherence and aesthetic quality, often surpassing models like SD 3.0 Large and being competitive with top-tier models like FLUX.1.
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