{"id":1993,"date":"2026-03-21T17:58:03","date_gmt":"2026-03-21T17:58:03","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=1993"},"modified":"2026-03-21T19:39:33","modified_gmt":"2026-03-21T19:39:33","slug":"stable-diffusion-3-5-large-6-prompt-tests-1024px","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/stable-diffusion-3-5-large-6-prompt-tests-1024px\/","title":{"rendered":"Stable Diffusion 3.5 Large: 6 Prompt Tests (1024px)"},"content":{"rendered":"<h2>Stable Diffusion 3.5 Large: 6 Prompt Tests (1024px)<\/h2>\n<p>Stable Diffusion 3.5 Large is positioned as a stronger general-purpose text-to-image model with better prompt adherence and typography. This post runs six prompts that stress text, product lighting, composition control, portraits, 3D style, and surreal illustration.<\/p>\n<h2>Model link<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/stabilityai\/stable-diffusion-3-5-large\">https:\/\/wiro.ai\/models\/stabilityai\/stable-diffusion-3-5-large<\/a><\/li>\n<\/ul>\n<h2>Test setup<\/h2>\n<ul>\n<li>Size: 1024&#215;1024<\/li>\n<li>Steps: 28<\/li>\n<li>Guidance scale: 7.0<\/li>\n<li>Scheduler: FlowMatchEulerDiscreteScheduler<\/li>\n<li>Negative prompt: &#8220;bad quality, lowres, blurry, watermark&#8221;<\/li>\n<\/ul>\n<h2>Test 1: Typography on a sign<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/sd35-1.png\" alt=\"Storefront sign typography test\"\/><figcaption>Prompt: High-resolution photo of a storefront sign on a brick wall. The sign is white with black lettering. The exact text must read: MORNING ROAST. Clean sans serif. Centered. Natural daylight.<\/figcaption><\/figure>\n<p>This prompt checks if the model can keep letters clean and aligned. The overall sign look often lands well, but exact letter-perfect typography still needs a design tool for production work.<\/p>\n<h2>Test 2: Product photo + label text<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/sd35-2.png\" alt=\"Perfume bottle product photo test\"\/><figcaption>Prompt: Studio product photo of a clear glass perfume bottle on a marble surface. The label has the exact text: AURORA NO. 7. Minimal design. Soft shadows. 85mm lens.<\/figcaption><\/figure>\n<p>SD 3.5 Large does a nice job with glass, reflections, and soft studio lighting. Label placement looks plausible, but small text can drift or deform.<\/p>\n<h2>Test 3: Simple spatial control (three objects)<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/sd35-3.png\" alt=\"Kitchen counter with apple mug lemon\"\/><figcaption>Prompt: Photoreal kitchen counter scene. Place a red apple on the left, a blue mug in the center, and a yellow lemon on the right. Soft window light. Sharp focus.<\/figcaption><\/figure>\n<p>This is a fast way to see prompt adherence. If the colors or positions swap, add stronger anchors like &#8220;left edge&#8221; and &#8220;right edge&#8221; and reduce extra scene details.<\/p>\n<h2>Test 4: Portrait lighting control<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/sd35-4.png\" alt=\"Portrait with warm key light and cool rim light\"\/><figcaption>Prompt: Photoreal close-up portrait of a man with curly hair and round glasses. Warm key light from left, cool rim light from right. Natural skin texture. 50mm lens.<\/figcaption><\/figure>\n<p>The lighting direction callouts can work well when the prompt stays simple. For sharper realism, specify background bokeh and avoid conflicting style words.<\/p>\n<h2>Test 5: Isometric 3D render style<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/sd35-5.png\" alt=\"Isometric 3D desk scene\"\/><figcaption>Prompt: Isometric 3D render of a small home office desk setup. Laptop, notebook, mug, desk lamp. Clean modern style. Soft global illumination.<\/figcaption><\/figure>\n<p>Isometric prompts test composition discipline. The best results keep clean edges, consistent lighting, and a readable top-down angle.<\/p>\n<h2>Test 6: Surreal illustration (composition and mood)<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/sd35-6.png\" alt=\"Surreal whale floating over desert\"\/><figcaption>Prompt: Surreal illustration of a giant whale floating above a calm desert. Long shadows. Pastel sky. Ultra-detailed. Cinematic composition.<\/figcaption><\/figure>\n<p>This type of prompt suits SD 3.5 Large: a clear subject, strong mood, and simple scene geometry. It tends to deliver a cohesive image without overcomplicating the layout.<\/p>\n<h2>Quick takeaways<\/h2>\n<table>\n<thead>\n<tr>\n<th>What was tested<\/th>\n<th>What worked<\/th>\n<th>What to watch<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Typography<\/td>\n<td>Convincing sign and label layouts<\/td>\n<td>Exact letter-perfect text still hard<\/td>\n<\/tr>\n<tr>\n<td>Lighting<\/td>\n<td>Studio reflections and portrait lighting cues<\/td>\n<td>Too many style words can confuse the result<\/td>\n<\/tr>\n<tr>\n<td>Prompt adherence<\/td>\n<td>Simple composition instructions often follow<\/td>\n<td>Add stronger anchors when positions drift<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Try it<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/stabilityai\/stable-diffusion-3-5-large\">Run Stable Diffusion 3.5 Large on Wiro<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Stable Diffusion 3.5 Large: 6 Prompt Tests (1024px) Stable Diffusion 3.5 Large is positioned as a stronger general-purpose text-to-image model with better&hellip;<\/p>\n","protected":false},"author":4,"featured_media":2033,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[186,187,185,81],"class_list":["post-1993","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-reviews","tag-sd3-5","tag-stabilityai","tag-stable-diffusion","tag-text-to-image"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1993","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=1993"}],"version-history":[{"count":1,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1993\/revisions"}],"predecessor-version":[{"id":1994,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1993\/revisions\/1994"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/2033"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=1993"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=1993"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=1993"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}