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Astria

Astria

Custom AI image generation platform featuring advanced fine-tuning and creative filters.

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AI APIAI Image GeneratorText to ImageAI Headshot GeneratorAI PhotographyAI Avatar GeneratorAI Image UpscalerAI Photo Filter

About Astria

Astria is a versatile platform for personalized AI image generation through its Dreambooth API. It enables users to craft unique images by fine-tuning models like Flux, Stable Diffusion 1.5, and Stable Diffusion XL, delivering tailored results for specific styles or subjects. The platform supports various fine-tuning methods, including Checkpoint and LoRAs, and offers a FaceID-like option for faster, lower-fidelity outputs. With a suite of generative filters for artistic effects, Astria caters to diverse use cases such as AI photoshoots, virtual try-ons, mobile applications, product photography, and interior design visualization.

How to Use

Users can train models, utilize open-source AI headshot starters, or operate via the Imagine app. The platform provides an API for developers to incorporate fine-tuning, batch prompts, upscaling, and face correction into their applications. Explore the model library and follow detailed guides for optimal fine-tuning and API integration.

Features

Advanced AI image generation
Dreambooth API for customization
Extensive model library
Developer API access
Creative generative filters
Flexible fine-tuning options with Flux, SD1.5, SDXL

Use Cases

Image upscaling
Mobile application development
Interior design visualization
Product photography
Creating digital avatars
Pet image generation
Virtual try-on experiences
Artistic filters and effects
AI-powered photoshoots

Best For

Pet storesMarketing professionalsInterior designersDevelopersE-commerce businessesPhotographersSocial media app developers

Pros

Multiple fine-tuning options for customization
Supports a wide range of use cases
Flexible AI image generation capabilities
API available for seamless integration
Auto-scaling infrastructure with no DevOps needed

Cons

Model storage duration limited to 30 days
Fine-tuning can be resource-intensive
External checkpoint tools are unsupported
Prohibits explicit adult or nude content

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Flux model fine-tuning

$1.50 per fine-tune

Cost per 300 steps (1200 effective steps). Steps are prorated. Pricing applies to 1024x1024 images; larger images are prorated accordingly.

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Most Popular

8-image prompt pack

$0.23 per prompt

Generate a set of 8 images from a text prompt using a fine-tuned model.

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Virtual try-on for Flux

8 cents per usage

Enable virtual try-on features with minimal cost per use.

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Super-resolution and face correction

$0.0125 per image

Enhance image quality or correct facial features efficiently.

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Prompt masking

1 cent per prompt

Apply masking effects to prompts for detailed image control.

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Background removal

1 cent per image

Quickly remove backgrounds from images for clean composites.

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Extended model storage

$0.50 per model per month

Models are stored for 30 days from the time they become available.

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Frequently Asked Questions

Find answers to common questions about Astria

What is fine-tuning in AI image generation?
Fine-tuning adapts pre-trained models like Flux and Stable Diffusion to generate personalized images of specific subjects or styles, including professional headshots, cartoons, and avatars.
What are the alternatives to fine-tuning?
Astria offers a FaceID-like adapter option that produces lower-fidelity results faster, ideal for quick or less detailed image creation.
What is Flux in AI image generation?
Flux is a family of generative models developed by Black Forest Labs, enabling advanced text-to-image synthesis.
Does Astria provide licensing coverage for my app?
Yes, users can access the platform’s GUI and API services without additional licensing requirements.
What are generative filters used for?
Generative filters apply artistic effects like oil painting or line art, giving users creative control over images while preserving subject identity.