{"id":5600,"date":"2026-05-15T12:41:17","date_gmt":"2026-05-15T19:41:17","guid":{"rendered":"https:\/\/plugsandpixels.com\/blog\/?p=5600"},"modified":"2026-05-15T12:41:18","modified_gmt":"2026-05-15T19:41:18","slug":"major-new-topaz-photo-gigapixel-model-updates-flash-sale-is-still-on","status":"publish","type":"post","link":"https:\/\/plugsandpixels.com\/blog\/major-new-topaz-photo-gigapixel-model-updates-flash-sale-is-still-on\/","title":{"rendered":"Major new Topaz Photo & Gigapixel model updates, flash sale is still on"},"content":{"rendered":"\n

Topaz just released\u00a0Photo 1.6.0<\/a><\/strong>\u00a0and\u00a0Gigapixel 1.3.0<\/a><\/strong>\u00a0with the following major model enhancements:<\/p>\n\n\n\n

Model speed increase: 4 minutes \u2192 60 seconds. 4x faster processing speed with 10MB image. NeuroStream 2 speeds up processing by 2x-4x for the following local diffusion models: Wonder 3, Denoise Max, Face Recovery 3, and Super Focus 3.<\/em><\/p>\n\n\n\n

NeuroStream 2 unlocks up to 4x faster processing speeds for your images in the largest, local models.<\/em><\/p>\n\n\n

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FACE RECOVERY 3: Add clarity without losing personality.<\/strong><\/p>\n\n\n\n

The new generation of Face Recovery creates cleaner, more natural results with fewer artifacts and better subject consistency than ever before. From straight-on to side and 3\/4 profiles, the model improves reconstruction by adding rich detail at any size while faithfully preserving glasses, piercings, makeup and other defining features. Skin texture and tones stay true to original inputs without distracting grid patterns or unwanted color shifts.<\/p>\n\n\n\n

(Currently available in Topaz Photo<\/a> and Topaz Gigapixel<\/a>)<\/p>\n\n\n\n

NOISE-AWARE SHARPENING: Restore focus without losing honest detail.<\/strong><\/p>\n\n\n\n

The first model capable of separating noise and detail to produce sharper results honest to original inputs. On-location photographers deal with variables like low light, high ISO and fleeting moments. Noise and grain become part of the photo\u2019s story. Before, there were two paths: Sharpen and accentuate noise, or denoise and lose detail clarity. Now, Noise-Aware Sharpening isolates noise, then sharpens details before bringing back the original texture.<\/p>\n\n\n\n

(Currently available in Topaz Photo<\/a> and Topaz Image Web<\/a>)<\/p>\n\n\n\n

Monthly web plans: Now 50% off.<\/a><\/strong><\/p>\n\n\n\n

Here are some of my own results using purposely bad source images! First, a Summer 2002 1-megapixel grab shot of people at a street festival (original image file):<\/p>\n\n\n

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Shown at 6X in Gigapixel before treatment:<\/p>\n\n\n

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Crops of the original shown against the enhanced results of the Wonder 3 model at 6X, 100% view:<\/p>\n\n\n

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A couple of side-by-side examples from older 2007-era lo-res digital images, with Topaz Photo’s Noise-aware Sharpening applied:<\/p>\n\n\n

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As you can see, the various selection of Topaz desktop and web apps are incredibly useful for salvaging your old digital images and, of course, enhancing your more recent ones.<\/p>\n\n\n\n

Be sure to take advantage of the current flash sale<\/a><\/strong> which ends on May 22!<\/p>\n\n\n

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Topaz just released\u00a0Photo 1.6.0\u00a0and\u00a0Gigapixel 1.3.0\u00a0with the following major model enhancements: Model speed increase: 4 minutes \u2192 60 seconds. 4x faster processing speed with 10MB image. NeuroStream 2 speeds up processing by 2x-4x for the following local diffusion models: Wonder 3, Denoise Max, Face Recovery 3, and Super Focus 3. NeuroStream 2 unlocks up to 4x Read more about Major new Topaz Photo & Gigapixel model updates, flash sale is still on<\/span>[…]<\/a><\/p>\n","protected":false},"author":1,"featured_media":5619,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[6,3,25,31,1],"tags":[281,1408,223,240,617,168,243,1133,385,1444,66,1442,1446,1443,1447,8,178,38,257,1445,1313,153,173,1428,1448,805],"class_list":["post-5600","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-discounts","category-general","category-photography","category-post-processing","category-uncategorized","tag-ai","tag-ai-models","tag-coupon","tag-coupon-code","tag-denoise","tag-discount","tag-discounts","tag-face-recovery","tag-gigapixel","tag-hyperion","tag-image-enhancement","tag-local-diffusion","tag-neuroserver","tag-neurostream","tag-nuke","tag-photoshop","tag-plug-in","tag-post-processing","tag-sharpening","tag-starlight","tag-super-focus","tag-topaz","tag-topaz-labs","tag-topaz-photo","tag-topaz-wonder","tag-upscale"],"_links":{"self":[{"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/posts\/5600","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/comments?post=5600"}],"version-history":[{"count":15,"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/posts\/5600\/revisions"}],"predecessor-version":[{"id":5625,"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/posts\/5600\/revisions\/5625"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/media\/5619"}],"wp:attachment":[{"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/media?parent=5600"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/categories?post=5600"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/plugsandpixels.com\/blog\/wp-json\/wp\/v2\/tags?post=5600"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}