Bria 2.3 Fast is a text-to-image foundation model designed for enterprise-grade performance. It delivers high-quality visual outputs with industry-leading low latency, optimized for the GPU it runs on. Built with a strong commitment to legal compliance and responsible AI practices, it ensures safe and scalable generative image capabilities for commercial use. With the largest licensed training set in the world, Bria provides a priority open generative AI platform, enabling enterprises to build high quality, risk free, responsible, visual gen AI solutions. As an open platform - You can finetune Bria’s models and host your solutions according to your data privacy policies. Model Variations Bria 2.3 offers the best balance between quality and speed. Other versions include Bria 2.3 HD (high-quality output) and Bria 2.3 Fast (reduced latency). Model Input

• Textual Prompt (Required)
• Resolution (Required): Multi-aspect ratio support, approximately 1024x1024 pixels. Size must be one of 1024x1024, 832x1216, 1216x832, 896x1152, 1152x896, 896x1088, 1088x896, 768x1344, 1344x768
• Additional Parameters (Optional)
  • Negative Prompt
  • Number of Diffusion Steps: Must be between 8 and 12
  • Guidance Scale: Allows amplification or reduction of the prompt effect. Must be a float between 1.0 and 5.0.
  • Image Format: The format of the generated image.
  • Seed: The seed for random generation.
• NOTE : Include extra-parameters: pass-through in the header

Model Output Image Model Architecture Bria 2.3 is based on Latent Diffusion Models with a proprietary training dataset of high-quality images for commercial use. Key components include: Text Encoder: CLIP-based Perceptual Encoder-Decoder: VAE Backbone: UNet Images are transformed into latent representations through the VAE, and textual captions are encoded using the text encoder. The model supports a resolution of 1024x1024 with multi-aspect ratio generation, curated for aesthetic quality. Supported Parameters API Interface: Text-to-Image

Endpoint

POST {base_url}/images/generations Note: Replace {base_url} with your serverless endpoint

Sample Input

{
    "prompt": "A serene mountain landscape during sunset with a clear sky and vibrant colors",
    "size": "1024x1024",
    "num_inference_steps": 10,
    "text_guidance": 2.5,
    "negative_prompt": "stormy weather, dark clouds",
    "image_format": "png",
    "seed": 555
}

Sample Output

{
    "data": [
        {
            "b64_json": "<generated_image_in_base64>",
            "nsfw": false
        }
    ],
    "created": 1737976440
}

Contact for Questions Support@bria.ai