{"id":1372,"date":"2026-03-07T22:34:04","date_gmt":"2026-03-07T22:34:04","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=1372"},"modified":"2026-02-28T04:33:00","modified_gmt":"2026-02-28T04:33:00","slug":"hunyuan-flux-srpo-text-to-image-quality-in-6-tests","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/hunyuan-flux-srpo-text-to-image-quality-in-6-tests\/","title":{"rendered":"Hunyuan Flux SRPO: Text-to-Image Quality in 6 Tests"},"content":{"rendered":"<h2>Hunyuan Flux SRPO: a fast text-to-image model in 6 tests<\/h2>\n<p>Hunyuan Flux SRPO is a text-to-image model that targets clean aesthetics and strong prompt following. This post tests it with six prompts that cover typography, product lighting, busy scenes, diagram style, portrait detail, and glass realism.<\/p>\n<h2>Model link<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/tencent\/hunyuan-flux-srpo\">https:\/\/wiro.ai\/models\/tencent\/hunyuan-flux-srpo<\/a><\/li>\n<\/ul>\n<h2>What the model supports<\/h2>\n<ul>\n<li>Text-to-image from a prompt.<\/li>\n<li>Optional image-to-image by providing inputImage plus a strength value.<\/li>\n<li>Direct width and height control for aspect ratios.<\/li>\n<\/ul>\n<h2>Test settings<\/h2>\n<table>\n<thead>\n<tr>\n<th>Setting<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Steps<\/td>\n<td>20<\/td>\n<\/tr>\n<tr>\n<td>Guidance scale<\/td>\n<td>3.5<\/td>\n<\/tr>\n<tr>\n<td>Samples<\/td>\n<td>1 per prompt<\/td>\n<\/tr>\n<tr>\n<td>Resolution<\/td>\n<td>1024 px base (varies by test)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Results (prompt + output)<\/h2>\n<h3>Test 1: poster typography<\/h3>\n<p>This checks basic layout and short text rendering.<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/hunyuan-flux-srpo-01.png\" alt=\"Vintage travel poster with hot air balloons and the text WIRO API\" \/><figcaption>Prompt: Vintage travel poster of Cappadocia hot air balloons at sunrise, bold headline text WIRO API, smaller subtext Build with AI, clean centered layout, screenprint texture, high contrast<\/figcaption><\/figure>\n<p>The headline lands clearly. Smaller text holds up better than many older diffusion models, but letter spacing still looks synthetic on close zoom.<\/p>\n<h3>Test 2: product photo lighting<\/h3>\n<p>This checks reflections, material realism, and depth of field.<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/hunyuan-flux-srpo-02.png\" alt=\"Studio product photo of a mechanical keyboard with cyan keycaps\" \/><figcaption>Prompt: Studio product photo of a matte black mechanical keyboard with cyan keycaps, softbox lighting, shallow depth of field, crisp reflections on desk, 50mm lens look<\/figcaption><\/figure>\n<p>Specular highlights look controlled and not overblown. Key legends can still drift into nonsense, which matters for real product pages.<\/p>\n<h3>Test 3: busy scene with a single readable sign<\/h3>\n<p>This checks composition under clutter and whether one short sign stays readable.<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/hunyuan-flux-srpo-03.png\" alt=\"Rainy futuristic night market with a neon sign that says MERHABA\" \/><figcaption>Prompt: Wide shot of a rainy night market in a futuristic city, neon sign text MERHABA, puddle reflections, people with umbrellas, cinematic lighting, high detail<\/figcaption><\/figure>\n<p>The scene keeps depth and lighting cues without turning into noise. The sign stays close, but some glyph edges melt into the glow.<\/p>\n<h3>Test 4: clean diagram style<\/h3>\n<p>This checks whether the model can stay in a simple vector look.<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/hunyuan-flux-srpo-04.png\" alt=\"Isometric diagram of a server rack and GPU cluster with labels GPU API DB\" \/><figcaption>Prompt: Isometric technical illustration of a server rack connected to a GPU cluster, labeled parts with simple text GPU, API, DB, clean vector style, white background, sharp lines<\/figcaption><\/figure>\n<p>Edges stay sharp and the style stays consistent. Labels remain the weakest part, so diagrams that require exact text still need post-editing.<\/p>\n<h3>Test 5: portrait detail<\/h3>\n<p>This checks skin texture, specular control, and face geometry.<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/hunyuan-flux-srpo-05.png\" alt=\"Studio portrait of a person wearing a futuristic helmet visor\" \/><figcaption>Prompt: Ultra realistic studio portrait of a person wearing a futuristic helmet visor, soft rim light, detailed skin texture, 85mm lens, neutral background<\/figcaption><\/figure>\n<p>Lighting looks studio-like and the face stays coherent. Fine details can look a bit too smooth, which gives a slight synthetic finish.<\/p>\n<h3>Test 6: glass and caustics (hard)<\/h3>\n<p>This checks reflections, refractions, and small engraved text.<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/hunyuan-flux-srpo-06.png\" alt=\"Glass chess set on a reflective black table with dramatic lighting\" \/><figcaption>Prompt: Transparent glass chess set on a reflective black table, dramatic spotlights, tiny engraving text FLUX on the king piece, realistic caustics, high detail<\/figcaption><\/figure>\n<p>Reflections read well, and the set keeps a believable shape. The tiny engraving does not stay truly readable, which remains a hard failure case for most models.<\/p>\n<h2>Where it looks strong (and where it breaks)<\/h2>\n<ul>\n<li>Strong: lighting control and scene clarity at 1024 px.<\/li>\n<li>Strong: consistent style when the prompt stays specific.<\/li>\n<li>Weak: small text and label fidelity.<\/li>\n<li>Weak: micro texture can get too smooth on faces and shiny materials.<\/li>\n<\/ul>\n<h2>Try it<\/h2>\n<p>Run the same prompts and tweak width and height to match target placements:<\/p>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/tencent\/hunyuan-flux-srpo\">Hunyuan Flux SRPO on Wiro<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Hunyuan Flux SRPO: a fast text-to-image model in 6 tests Hunyuan Flux SRPO is a text-to-image model that targets clean aesthetics and&hellip;<\/p>\n","protected":false},"author":4,"featured_media":1373,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[119,120,121,81],"class_list":["post-1372","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-reviews","tag-flux","tag-hunyuan","tag-tencent","tag-text-to-image"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1372","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/comments?post=1372"}],"version-history":[{"count":2,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1372\/revisions"}],"predecessor-version":[{"id":1375,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1372\/revisions\/1375"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/1373"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=1372"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=1372"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=1372"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}