Astria
Astria · Image
Astria is an AI photoshoot platform that trains a custom model from your reference photos, then generates product shots, fashion lookbooks, and headshots through a web app or API.
About Astria
What Is Astria
Astria is built for people who need the same face or the same product photographed in many different settings. You upload a small set of reference images, Astria trains a custom AI model on them, and from that point you generate new images of that subject by describing the scene you want. The same workflow runs AI product photography for catalogs and acts as an AI headshot generator for people who need a professional portrait.
The work it replaces is a studio shoot. Lights, backdrop, model, photographer, and a reshoot every time someone changes the background. For a catalog of 40 shirts or a team of 20 people, that bill repeats with every update. Astria turns most of it into a prompt and a queue.
The limit is precision. You steer a trained model with text instead of retouching pixels, so small fixes such as a stray hair or a logo placement are better handled in an editor. The platform also works on rented ground: models and generated images are deleted 30 days after training unless you pay to keep them.
Getting Started
- Create an account at astria.ai and open the New tune page.
- Upload 8 to 16 photos of the person or product, set a class name such as woman, man, or clothing, and pick Flux1.dev as the base model.
- Choose a training preset: portrait for people, focus for mixed work, high for style sets with 20 or more images.
- Queue prompts with the ohwx token at the start of the sentence, or open a ready-made photoshoot pack and fill in its template.
- Download the results from the tune page, or run the same steps through the API.
Product Information
A quick look at Astria's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Ecommerce teams with large catalogs
- Small studios and freelancers selling headshot packages
- Developers adding photo features to an app
Tasks
- Generating on-model fashion images
- Replacing a product background
- Producing consistent headshots
- Animating a still frame
Scenarios
- A seasonal catalog refresh where 60 products need new lifestyle photos in a week.
- A team page update where 15 employees need portraits that match in style.
- A dating app or marketplace that sells AI portraits as a feature and needs per-user models at volume.
Key features
Custom Model Training
Flux LoRA training is the core of the platform. Astria builds a model from your images using four presets: portrait for faces, focus for a mix of faces, products, and styles, fast as a cheaper legacy option, and high for style work with large sets. Portrait and fast train at 27 steps per image, high at 100, and every run has a 300 step minimum, so cost follows the preset you choose.
Reusable Photoshoot Templates
Templates hold the prompt, scene, styling, and camera setup for a look you like, and a pack bundles several of them into one photoshoot. You apply the same template to a new product or a new person and get images that share lighting and composition. For a catalog, that consistency matters more than any single frame.
Virtual Try-On
Try-on combines two trained models: a garment model and a person model. The garment is trained with a class name such as clothing, shirt, or pants, ideally from a photo that already shows it on a model, and the person comes from your own fine-tune. Prompts need elbows or the lower body in frame, so waist up or long shot framing works best, and flat lay garment shots give weaker results.
Product Placement and Background Replacement
Astria can cut a product from its original photo and generate a new background around it. A relight controlnet pass blends the object with the new scene so the light direction matches, which is the difference between a pasted cutout and a usable campaign image.
Editing Controls: Inpainting, FaceID, and Upscaling
Inpainting and masking let you repair one area without regenerating the whole frame. FaceID gives a faster, lower-fidelity likeness when full training is overkill. On the output side, super resolution and tiled upscale raise the pixel count, with upscale billed at about 10 cents per image.
Developer API with Free Mock Mode
The AI image generation API exposes tunes and prompts with full create, read, and delete operations, plus callbacks, idempotency keys, and auto top-off for billing. A mock mode (branch set to fast) returns placeholder images at no charge, which lets you wire up an integration before spending credits. Python SDK, Postman collection, and a Bubble plugin are provided.
Image2Video
Any generated frame can be animated through Image2Video. You pick a model family such as seedance25 or veo31_fast, set resolution and duration, and add a video prompt that describes camera movement and motion. Reference and first-frame inputs are supported for longer, more controlled clips.
Pros and cons
Pros
- Pay-per-use pricing: $1.50 for a Flux fine-tune per 300 steps and about 2.9 cents for a 1MP image, with no monthly subscription.
- One trained model across many scenes: catalog images read as a single shoot instead of a patchwork of styles.
- API built for products: mock mode, idempotency, and callbacks make it testable before you commit budget.
- Flux1.dev commercial licensing is handled for Astria customers, which removes a legal question for agency work.
Cons
- No free plan: you prepay a balance with a $5 minimum, so a real test costs money.
- Storage expires 30 days after training, and keeping a model longer runs $0.50 per model per month.
- Quality follows the training set: mixed lighting or a stack of near-identical photos produces a model that repeats those flaws.
- Prompting has its own rules: the ohwx token, no negative prompts on Flux, no weighted parentheses. Budget time to learn them.
Frequently asked questions
Astria trains a custom AI model from a set of your photos, then generates new images of that person or product in scenes you describe. The main uses are ecommerce product photography, fashion lookbooks, virtual try-on, and professional headshots.
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