FLUX Deblur: 4 MP input vs Sume's 1-4x image upscale

FLUX Deblur sharpens a blurry image with no prompt or mask, up to 4 MP. Sume has no deblur endpoint; its image upscaler takes a factor of 1 to 4.

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FLUX Deblur takes one blurry image, up to 4 MP, and returns a sharper version of the same scene with no prompt or mask. Sume has no deblur endpoint. It offers Image Upscale 1.0, which takes a public HTTPS image_url and an upscale_factor from 1 to 4 (default 2); that changes size, and the Sume spec does not describe it as a blur remover.

BFL facts are from its FLUX Deblur page and the June 25, 2026 release note; Sume facts from its OpenAPI spec, read 2026-09-30.

What does FLUX Deblur take?

POST /v1/flux-tools/deblur-v1 with image as base64 or an HTTP(S) URL; the maximum image area is 4 MP. It is built on FLUX.2 Klein 9B, applies to the full frame, and does not support region masks. BFL advises running deblur before later steps such as upscaling, outpainting or export.

What does Sume's upscaler take?

The route is POST /v1/image-upscale-1.0/upscale and the public model id is sume/image-upscale-1.0. The request needs image_url; upscale_factor is 1 to 4 (default 2) and output_format is png, jpg or webp (default png). The default mode is async, which returns the job id and polling URLs; sync waits at most 30 seconds.

Blur fix vs upscale, sources read 2026-09-30.
ItemFLUX DeblurSume Image Upscale 1.0
Purpose per docsSharpen a blurry imageUpscale an image
InputBase64 or URL, up to 4 MPPublic HTTPS image_url
ControlsNone (no prompt, no mask)upscale_factor 1-4, output_format
Result handlingAsync job, poll for the resultJob: async by default, bounded sync wait

Will upscaling fix a blurry photo?

The Sume spec only says the model upscales; it makes no claim about restoring focus. If the source is soft, test a sample before batching, and treat a larger output as larger, not necessarily sharper. For damaged scans see restore old photos with AI.

How should I use the factor?

Pick the smallest factor that reaches your target size, since the default is 2 and the ceiling is 4. For an exact pixel target, see upscale to an exact pixel size, and for the endpoint overview, the image upscale API.

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