Astria AI - Generative Imaging and Photography
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Astria AI Brief Overview
Astria AI is a platform for creating personalized, production‑ready visuals by fine‑tuning leading diffusion models (e.g., Flux, SDXL/SD 1.5) on a handful of your reference photos, then generating consistent headshots, avatars, product shots, or brand styles. Non‑coders can use ready‑made “Packs,” while developers get a full REST API to automate fine‑tuning and prompt runs. Use cases include AI photoshoots, virtual try‑on, filters, upscaling, and more.
How to use
- Create a model (“tune”). Upload ~10–20 varied photos of your subject; pick a base model (Flux1.dev is recommended) and start the fine‑tune.
- Generate images. Write prompts (you can even queue them while training); Astria renders multiple images per prompt and supports add‑ons like face correction and super‑resolution.
- Or use a one‑click Pack. Browse a Pack (e.g., Corporate Headshots), upload photos, and Astria handles training + generation automatically.
- Optional for devs: Call the Fine‑tuning API (resources: Python SDK, Postman, Bubble plugin) to programmatically create tunes and prompts; assets auto‑expire after 30 days (extendable).
Astria AI key features & functions
- Fine‑tuning on Flux/SD with LoRA & checkpoint options for identity/style preservation.
- FaceID (no‑training identity adapter, BETA) for quick identity‑preserving generations from as little as one image.
- Face Swap & Face Inpainting to refine likeness and fix facial details.
- Prompt Masking & Inpainting/Outpainting for targeted edits or aspect‑ratio extensions; ControlNet and tiled upscaling are supported.
- Virtual Try‑On (Flux) to render people wearing specific garments from reference images.
- Image‑to‑Video (BETA) to animate an image into short videos across multiple back‑end models.
- Model gallery & Packs for quick starts; full REST API with balance‑based billing and test/mocking tools.
Astria AI Pricing
Pricing varies by model and extras; below are current examples from Astria’s pricing pages.
Other options include Hailuo, WAN, Kling, and Ovi tiers. (BETA)
Stable Diffusion (SD)
Fine‑tune: $1.50 per model
Prompt run: $0.10 per prompt (returns 8 images)
Video (SD): $0.40 per 100 frames
Common add‑ons: super‑resolution or face correction $0.0125; tiled upscale from $0.02–$0.07; Prompt Masking $0.01.
Flux (per‑image)
Typical image costs $0.04–$0.08 depending on the selected model (e.g., Hyperrealism $0.04, Reve $0.05, Riverflow 1 $0.08).
Flux Pro (endpoints)
Kontext Pro $0.04/image, Kontext Max $0.08/image (with additional endpoint options listed).
Qwen (image model)
Fine‑tune: $1.80 (priced per 300 steps; 1,200 effective steps)
Generation: about $0.023/image (1328×1328; larger sizes prorated)
Extras: super‑resolution $0.0125, Prompt Masking $0.01, background removal $0.01/image.
Video generation (multiple back‑ends; price per 5 seconds)
Seedance Pro Fast $0.09 (480p) → $0.33 (1080p)
Veo31 Fast $0.85 (720p/1080p); Veo31 Fast + Audio $1.26
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