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Flux Upscaler

clarity-ai /

Clarity AI Flux Upscaler sharpens images while preserving natural textures and edges, with prompt-guided refinement and LoRA support. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

upscaler
Input

Drag & drop or click to upload

preview

Idle

$0.2per run·~50 / $10

ExamplesView all

Related Models

README

Clarity AI Flux Upscaler

Clarity AI Flux Upscaler enhances and enlarges images with prompt-guided refinement, optional LoRA style control, and adjustable creativity. It is designed for high-quality super-resolution workflows where you want both sharper detail and more control over the final look.

Why Choose This?

  • Prompt-guided upscaling Use a text prompt to steer texture, tone, lighting, or style during enhancement.

  • Optional LoRA control Add a compatible lora_link when you want stronger domain-specific styling.

  • Megapixel-based output sizing Choose the target output size directly in megapixels for predictable delivery.

  • Flexible enhancement strength Adjust creativity to balance faithful restoration against more generative detail.

  • Production-ready workflow Suitable for portraits, fashion, product imagery, artwork, and other high-resolution creative assets.

Parameters

ParameterRequiredDescription
imageYesInput image to upscale.
target_megapixelsNoTarget output size in megapixels. Higher values produce larger and more detailed outputs.
promptNoOptional prompt to guide tone, texture, lighting, or visual refinement.
lora_linkNoOptional URL to a compatible LoRA for additional style control.
creativityNoControls how much new detail is added. Lower values stay closer to the source, while higher values add stronger enhancement.

How to Use

  1. Upload your image — provide the source image you want to enhance.
  2. Choose target megapixels — set the desired output size based on your delivery needs.
  3. Add a prompt (optional) — describe the look, texture, or mood you want.
  4. Add a LoRA link (optional) — provide lora_link if you want extra style steering.
  5. Adjust creativity (optional) — keep it low for more faithful results, or raise it for stronger generated detail.
  6. Submit — run the model and download the enhanced image.

Example Prompt

Elegant editorial texture, soft natural light, refined fabric detail, realistic skin tones, premium fashion photography look

Pricing

Pricing is based on the selected target_megapixels tier.

Target MegapixelsCost
<= 4 MP$0.20
> 4 MP and <= 8 MP$0.40
> 8 MP and <= 16 MP$0.60
> 16 MP and <= 25 MP$1.20
> 25 MP and <= 50 MP$2.40
> 50 MP$3.20

Billing Rules

  • Pricing is based on target_megapixels
  • Cost uses fixed megapixel tiers rather than scaling linearly
  • Moving into a higher megapixel tier increases the price to the next bracket
  • prompt, lora_link, and creativity do not affect pricing

Best Use Cases

  • Fashion and portrait enhancement — Improve detail while preserving skin tones, fabrics, and visual polish.
  • Product image refinement — Generate sharper commercial assets for catalogs, campaigns, and listings.
  • Artwork and illustration upscaling — Create larger outputs with more controlled stylization.
  • Prompt-guided image finishing — Use short prompts to nudge mood, texture, and overall visual tone.
  • Style-directed super-resolution — Combine megapixel scaling with LoRA guidance for custom looks.
  • Premium asset preparation — Produce high-resolution images for design, publishing, and creative delivery.

Pro Tips

  • Start with a lower megapixel tier first, then increase only if you need a larger final output.
  • Keep creativity lower when identity, structure, and source fidelity matter most.
  • Use short, specific prompts instead of long descriptive paragraphs.
  • Add lora_link only when you need a stronger style direction.
  • Use the cleanest source image available for better detail recovery.
  • For fashion, portrait, or editorial work, subtle prompts usually produce more controllable results.

Notes

  • image is the only required field.
  • Pricing depends on the selected target_megapixels tier.
  • prompt, lora_link, and creativity change the look of the result, but not the price.
  • Larger target sizes are better suited for print, premium delivery, and high-resolution commercial use.

Related Models

Accessibility:This website uses AI models provided by third parties.

Flux Upscaler API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/clarity-ai/flux-upscaler with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Flux Upscaler below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/clarity-ai/flux-upscaler" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "target_megapixels": 4,
    "creativity": 0
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("clarity-ai/flux-upscaler", {
        "image": "https://example.com/your-input.jpg",
        "target_megapixels": 4,
        "creativity": 0
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "clarity-ai/flux-upscaler",
    {
    "image": "https://example.com/your-input.jpg",
    "target_megapixels": 4,
    "creativity": 0
}
)

print(output["outputs"][0])  # → URL of the generated output

Flux Upscaler API — Frequently asked questions

What is the Flux Upscaler API?

Flux Upscaler is a Clarity model for upscaling, exposed as a REST API on WaveSpeedAI. Clarity AI Flux Upscaler sharpens images while preserving natural textures and edges, with prompt-guided refinement and LoRA support. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Flux Upscaler API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/clarity-ai/clarity-ai-flux-upscaler.

How much does Flux Upscaler cost per run?

Flux Upscaler starts at $0.20 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Flux Upscaler accept?

Key inputs: `image`, `creativity`, `target_megapixels`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/clarity-ai/clarity-ai-flux-upscaler.

How do I get started with the Flux Upscaler API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Flux Upscaler outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Clarity). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.