Bria Prompt Enhancer
Bria AI generates high-quality, commercially safe images tailored to diverse creative needs.
API
If you're looking for an API, you can choose from your desired programming language.
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import requests
import base64
# Use this function to convert an image file from the filesystem to base64
def image_file_to_base64(image_path):
with open(image_path, 'rb') as f:
image_data = f.read()
return base64.b64encode(image_data).decode('utf-8')
# Use this function to fetch an image from a URL and convert it to base64
def image_url_to_base64(image_url):
response = requests.get(image_url)
image_data = response.content
return base64.b64encode(image_data).decode('utf-8')
# Use this function to convert a list of image URLs to base64
def image_urls_to_base64(image_urls):
return [image_url_to_base64(url) for url in image_urls]
api_key = "YOUR_API_KEY"
url = "https://api.segmind.com/v1/bria-prompt-enhancer"
# Request payload
data = {
"prompt": "a futuristic cityscape under a starry night"
}
headers = {'x-api-key': api_key}
response = requests.post(url, json=data, headers=headers)
print(response.content) # The response is the generated imageAttributes
Prompt for enhancement.
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Resources to get you started
Everything you need to know to get the most out of Bria Prompt Enhancer
Bria AI: Advanced Text-to-Image Generation Suite
Unlock Bria AI’s full potential with this concise guide. Learn how to pick the right model, configure parameters, and craft prompts for stunning results in digital marketing, product design, branding, and more.
1. Choosing the Right Model
- •Base: Balanced speed/quality. Ideal for explorative drafts and everyday visuals.
- •Fast: Fewer inference steps (10–20) and simplified sampling. Best for rapid iterations or A/B testing.
- •HD: Higher-resolution outputs (e.g. 1024×1024 or 2048×2048) with increased inference steps (50–100). Use this for final deliverables, print assets, and portfolio-ready images.
- •Vector: Generates clean, scalable SVG-like assets. Perfect for logos, icons, and UI elements.
2. Key Parameters & Recommended Settings
| Parameter | Base | Fast | HD | Vector |
|---|---|---|---|---|
| model | “base” | “fast” | “hd” | “vector_base” |
| prompt_enhancer | true | true | true | false |
| num_inference_steps | 25–50 | 10–20 | 50–100 | 30–60 |
| guidance_scale | 7–9 | 5–7 | 8–12 | 7–10 |
| width × height | 512×512 | 512×512 | 1024×1024 or higher | N/A (vector SVG) |
| seed | (optional for repeatability) | |||
| controlnet | off (unless using refs) | off (unless refs) | on for precise comps | off |
| controlnet_strength | 0.3–0.7 when enabled |
3. Tips for Effective Prompts
- •Be Descriptive: Specify subject, style, mood, lighting, and perspective.
- •Use Themes: Add terms like “futuristic,” “surreal,” “minimalist,” or “vintage.”
- •Leverage Prompt Enhancer: Enable it to transform short ideas into rich scene descriptions.
- •Combine with ControlNet: Upload a rough sketch or reference image to lock down composition.
- •Iterate: Start with Fast or Base for drafts, then switch to HD for polish.
4. Use Case Recommendations
- •Social Media Campaigns: Fast model + vibrant keywords + guidance_scale 6–8 for quick, eye-catching visuals.
- •Branding & Logos: Vector model + keywords like “flat,” “monochrome,” or “geometric” + prompt_enhancer off.
- •Editorial Illustrations: Base model + narrative details + controlnet for consistency with existing layouts.
- •Product Prototypes: HD model + realistic lighting + 3D-inspired terms (e.g., “photorealistic,” “studio-lit”).
5. Final Thoughts
Experiment with these settings to find your sweet spot. Bria AI’s versatility lets you transition seamlessly from rapid concepting to high-quality final assets—making it your go-to suite for any creative visual task.
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