Bedrock image features Sume does not have: an honest gap list

Moving off Bedrock image models? These Nova Canvas and Titan features have no Sume equivalent: maskPrompt, mergeStyle, similarityStrength, fine-tuning.

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Before you migrate, know what you will not find. This is the list of Bedrock image features with no field on Sume's /v1/images, taken from Amazon's pages (read 2026-10-06) and Sume's docs. Sume's API returns 400 unsupported_parameter for any field a model's catalog row does not list, so these fail loudly rather than being ignored.

Features without a Sume field (Amazon docs, read 2026-10-06; Sume docs)
Bedrock featureWhat it doesWorkaround on Sume
maskPromptNames the region to edit in textPut the region in prompt
mergeStyle (try-on)BALANCED, SEAMLESS or DETAILED blendingTwo references and a prompt; measure the seam
similarityStrength0.2 to 1.0 closeness to the inputWording; pick a model
outPaintingModeDEFAULT or PRECISESet aspect_ratio and diff the middle
cfgScale1.1 to 10 prompt adherencequality where listed
Fine-tuning (Titan)Train on your own imagesReferences on every call
Watermark detection API (Titan, Nova)Checks for the Amazon invisible watermarkNone

What Sume has that Bedrock does not

Sume lists many image models behind one schema, so you can run the same edit through several and compare. It also returns a job envelope for slow requests and a usage.cost on every response. Failed jobs are not billed.

Find out what a model accepts, per model

Run this once in CI so a port does not break on a new model. It lists the models that take input_references, which is the shortlist for edits.

import os, requests

r = requests.get("https://api.sume.com/v1/images/models", timeout=30,
    headers={"Authorization": f"Bearer {os.environ['SUME_API_KEY']}"})
r.raise_for_status()
for m in r.json()["data"]:
    refs = m["supported_parameters"].get("input_references", {})
    if refs.get("max", 0) > 0:
        print(m["id"], "refs up to", refs["max"])

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