AuraSR Image to Image
Input
Hint: Drag and drop image files from your computer, images from web pages, paste from clipboard (Ctrl/Cmd+V), or provide a URL. Accepted file types: jpg, jpeg, png, webp, gif, avif
Customize your input with more control.
Result
What would you like to do next?
Your request will cost $0 per compute second.
Logs
AuraSR | [image-to-image]
AuraSR delivers 4x upscaling for image enhancement by trading inference speed for quality through overlapping tile processing. This specialized upscaler model targets workflows where resolution matters more than generation time. Ideal for content creators, designers, and developers who need reliable image enhancement without complex prompt engineering.
Use Cases: Photo Enhancement | Asset Upscaling | Resolution Recovery
Performance
AuraSR positions as a cost-efficient upscaling solution with transparent compute-based pricing. You pay only for actual processing time rather than per-image fees.
| Metric | Result | Context |
|---|---|---|
| Upscaling Factor | 4x | Fixed multiplier: 256x256 becomes 1024x1024 |
| Tile Processing | Optional overlapping | Doubles inference time but removes seams |
| Cost per Compute Second | $0.001 | Pricing based on actual processing duration |
| Checkpoint Versions | v1, v2 | v2 offers improved quality at same compute cost |
Purpose-Built Upscaling Architecture
AuraSR focuses exclusively on image upscaling rather than generation or editing. You provide a source image, it returns a 4x resolution version. Unlike generative models that interpret prompts, this architecture preserves your original content while enhancing detail.
What this means for you:
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Predictable output: No prompt interpretation variance. Same input produces consistent 4x upscaled results across runs
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Seam control: Overlapping tiles option removes visible boundaries in large upscales, trading 2x processing time for seamless output
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Checkpoint flexibility: Switch between v1 and v2 checkpoints to balance speed vs quality without changing your API integration
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Transparent costs: Compute-second pricing means you know exactly what you're paying based on processing duration
Technical Specifications
| Spec | Details |
|---|---|
| Architecture | AuraSR |
| Input Formats | PNG, JPEG, WebP, GIF, AVIF via URL |
| Output Formats | PNG (with dimensions, file size metadata) |
| Upscaling Factor | 4x (fixed) |
| License | Commercial use permitted |
API Documentation | Quickstart Guide | Enterprise Pricing
How It Stacks Up
FASHN Virtual Try-On V1.5 – AuraSR handles general-purpose upscaling across any image type, while FASHN specializes in garment try-on workflows with model-to-clothing alignment. FASHN targets fashion e-commerce at premium pricing , while AuraSR serves broader resolution enhancement needs at compute-based pricing. Choose FASHN for apparel visualization, AuraSR for general asset upscaling where you control the input and need consistent 4x enhancement.