diff --git a/.mcp.json b/.mcp.json index 11633fe..4074eca 100644 --- a/.mcp.json +++ b/.mcp.json @@ -42,11 +42,9 @@ "PERPLEXITY_TIMEOUT_MS": "600000" } }, - "browsermcp": { - "type": "stdio", + "chrome-devtools": { "command": "npx", - "args": ["-y", "@browsermcp/mcp@latest"], - "env": {} + "args": ["-y", "chrome-devtools-mcp@latest"] } } } diff --git a/apps/landing/public/blog/authors/banatie-team.png b/apps/landing/public/blog/authors/banatie-team.png new file mode 100644 index 0000000..1906575 Binary files /dev/null and b/apps/landing/public/blog/authors/banatie-team.png differ diff --git a/apps/landing/public/blog/midjourney-alternatives-hero.png b/apps/landing/public/blog/midjourney-alternatives-hero.png new file mode 100644 index 0000000..b316cc2 Binary files /dev/null and b/apps/landing/public/blog/midjourney-alternatives-hero.png differ diff --git a/apps/landing/src/app/(landings)/blog/[slug]/code.html b/apps/landing/src/app/(landings)/blog/[slug]/code.html new file mode 100644 index 0000000..bf53d27 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/[slug]/code.html @@ -0,0 +1,445 @@ + + + + +Refined Technical Blog Article + + + + + + + + + +
+
+
+
+
+
+
+
+
+ +
+ + Engineering + + +schedule 8 min read + +
+

+ Optimizing Image Generation Pipelines at Scale +

+

+ Learn how we reduced latency by 40% using edge caching and predictive pre-generation strategies for our high-throughput API endpoints. +

+
+Author Avatar +
+
Alex Chen
+
Senior Infrastructure Engineer • Oct 24, 2023
+
+
+
+
+
+Abstract technical graphic showing network nodes +
+
+
+
+
+
+
+ $ latency --check
+ > 45ms (optimized) +
+
+
+
+
+
+
+
+
+
+ +
+
+

+ When we first launched Banatie's image generation API, we optimized for quality. But as our user base grew, so did the demand for speed. Here is how we tackled the challenge of delivering AI-generated assets in milliseconds. +

+

The Latency Bottleneck

+

+ Our initial architecture was straightforward: a request hits our API gateway, gets queued, processed by a GPU worker, and the resulting image is uploaded to S3. Simple, but slow. +

+

+ Users integrating our API into real-time applications needed faster response times. We identified two main areas for improvement: +

+
    +
  • Cold Starts: Spinning up new GPU instances took 2-3 minutes.
    • +
  • Network Overhead: Round trips between the inference server and storage added 200ms+.
    • +
+
+
+
+info +
+
+
Pro Tip: Analyze your P99
+

+ Don't just look at average latency. Your P99 (99th percentile) latency tells you the experience of your users during worst-case scenarios. Optimizing for P99 often yields the most stable system. +

+
+
+
+

Implementing Edge Caching

+

+ To solve the network overhead, we moved our delivery layer to the edge. By utilizing a global CDN, we could serve cached results instantly for repeated prompts. +

+
+
+
+
+
+
+
+middleware/cache-control.ts +
+ +
+
+
export function setCacheHeaders(res: Response) {
+  // Cache for 1 hour at the edge, validate stale in background
+  res.setHeader(
+    
+  );
+  // Custom tag for purging
+  res.setHeader();
+}
+
+
+

The Results

+

+ After deploying these changes, we saw a dramatic drop in TTFB (Time To First Byte). +

+
+ "The latency improvements were immediate. Our dashboard loads felt instantaneous compared to the previous version, directly impacting our user retention metrics." +
+
+
+Graph comparing latency before and after optimization +
+
+insert_chart +Latency reduction over a 24-hour period post-deployment +
+
+

Predictive Pre-Generation

+

+ For our enterprise clients, we introduced predictive generation. By analyzing usage patterns, we can pre-warm the cache with variations of commonly requested assets before the user even asks for them. +

+

+ This is particularly useful for e-commerce clients who update their catalogs at predictable times. +

+
+

Conclusion

+

+ Optimization is never finished. We are currently exploring WebAssembly for client-side resizing to further offload our servers. Stay tuned for Part 2! +

+
+
+
+ +
+
+
+ + \ No newline at end of file diff --git a/apps/landing/src/app/(landings)/blog/[slug]/page.tsx b/apps/landing/src/app/(landings)/blog/[slug]/page.tsx new file mode 100644 index 0000000..8b59b01 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/[slug]/page.tsx @@ -0,0 +1,77 @@ +import { notFound } from 'next/navigation'; +import type { Metadata } from 'next'; +import { + getAllPosts, + getPostBySlug, + getPostsBySlugs, + generatePostMetadata, +} from '../utils'; +import { + BlogPostHeader, + BlogTOC, + BlogSidebar, + BlogShareButtons, +} from '../_components'; + +interface PageProps { + params: Promise<{ slug: string }>; +} + +export async function generateStaticParams() { + const posts = getAllPosts(); + return posts.map((post) => ({ slug: post.slug })); +} + +export async function generateMetadata({ params }: PageProps): Promise { + const { slug } = await params; + const post = getPostBySlug(slug); + if (!post) return {}; + return generatePostMetadata(post); +} + +export default async function BlogPostPage({ params }: PageProps) { + const { slug } = await params; + const post = getPostBySlug(slug); + + if (!post) { + notFound(); + } + + const { Content, tocItems } = await import(`../_posts/${slug}`); + const relatedArticles = getPostsBySlugs(post.relatedArticles); + + return ( +
+ + +
+
+
+ {/* Share buttons column - hidden on mobile */} + + + {/* Article content */} +
+
+ +
+
+ + {/* Sidebar - hidden on mobile */} + +
+
+
+
+ ); +} diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogBreadcrumbs.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogBreadcrumbs.tsx new file mode 100644 index 0000000..67cb5c4 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogBreadcrumbs.tsx @@ -0,0 +1,50 @@ +import Link from 'next/link'; +import { ChevronRight } from 'lucide-react'; + +interface BreadcrumbItem { + label: string; + href?: string; +} + +interface BlogBreadcrumbsProps { + items: BreadcrumbItem[]; + variant?: 'light' | 'dark'; +} + +export const BlogBreadcrumbs = ({ + items, + variant = 'dark', +}: BlogBreadcrumbsProps) => { + const textColor = variant === 'dark' ? 'text-gray-400' : 'text-gray-600'; + const hoverColor = + variant === 'dark' ? 'hover:text-white' : 'hover:text-gray-900'; + const activeColor = variant === 'dark' ? 'text-white' : 'text-gray-900'; + + return ( + + ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogCTA.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogCTA.tsx new file mode 100644 index 0000000..24bcee7 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogCTA.tsx @@ -0,0 +1,28 @@ +import Link from 'next/link'; + +interface BlogCTAProps { + title: string; + description: string; + buttonText: string; + buttonHref: string; +} + +export const BlogCTA = ({ + title, + description, + buttonText, + buttonHref, +}: BlogCTAProps) => { + return ( +
+

{title}

+

{description}

+ + {buttonText} + +
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogCard.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogCard.tsx new file mode 100644 index 0000000..85bd49c --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogCard.tsx @@ -0,0 +1,47 @@ +import Link from 'next/link'; +import Image from 'next/image'; +import type { BlogPost } from '../types'; +import { formatDate } from '../utils'; + +interface BlogCardProps { + post: BlogPost; +} + +export const BlogCard = ({ post }: BlogCardProps) => { + return ( + +
+ {post.title} +
+
+
{post.category}
+

{post.title}

+

+ {post.description} +

+
+
+ {post.author.name} + {post.author.name} +
+ {formatDate(post.date)} + {post.readTime} +
+
+ + ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogCodeBlock.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogCodeBlock.tsx new file mode 100644 index 0000000..dda3a0c --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogCodeBlock.tsx @@ -0,0 +1,58 @@ +'use client'; + +import { useState } from 'react'; + +interface BlogCodeBlockProps { + children: string; + language?: string; + filename?: string; +} + +export const BlogCodeBlock = ({ + children, + language = 'text', + filename, +}: BlogCodeBlockProps) => { + const [copied, setCopied] = useState(false); + + const handleCopy = async () => { + try { + await navigator.clipboard.writeText(children); + setCopied(true); + setTimeout(() => setCopied(false), 2000); + } catch (err) { + console.error('Failed to copy:', err); + } + }; + + const displayName = filename || language; + + return ( +
+
+
+
+
+
+
+ {displayName && ( + + {displayName} + + )} +
+ +
+
+ 
+          {children}
+
+
+
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogHeading.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogHeading.tsx new file mode 100644 index 0000000..d828561 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogHeading.tsx @@ -0,0 +1,21 @@ +interface BlogHeadingProps { + id: string; + level: 2 | 3; + children: React.ReactNode; +} + +export const BlogHeading = ({ id, level, children }: BlogHeadingProps) => { + const Tag = `h${level}` as const; + + const baseStyles = 'scroll-mt-28 text-gray-900 font-bold tracking-tight'; + const levelStyles = { + 2: 'text-2xl mt-12 mb-4 first:mt-0', + 3: 'text-xl mt-8 mb-3', + }; + + return ( + + {children} + + ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogImage.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogImage.tsx new file mode 100644 index 0000000..0b90eeb --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogImage.tsx @@ -0,0 +1,48 @@ +import Image, { StaticImageData } from 'next/image'; +import { ImageIcon } from 'lucide-react'; + +interface BlogImageProps { + src: string | StaticImageData; + alt: string; + caption?: string; + fullWidth?: boolean; +} + +export const BlogImage = ({ + src, + alt, + caption, + fullWidth = false, +}: BlogImageProps) => { + const isStaticImage = typeof src !== 'string'; + + return ( +
+
+ {isStaticImage ? ( + {alt} + ) : ( +
+ {alt} +
+ )} +
+ {caption && ( +
+ + {caption} +
+ )} +
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogInfoBox.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogInfoBox.tsx new file mode 100644 index 0000000..f610add --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogInfoBox.tsx @@ -0,0 +1,55 @@ +import { Info, Lightbulb, AlertTriangle } from 'lucide-react'; + +type InfoBoxType = 'info' | 'tip' | 'warning'; + +interface BlogInfoBoxProps { + type?: InfoBoxType; + title: string; + children: React.ReactNode; +} + +const typeConfig = { + info: { + icon: Info, + borderColor: 'border-blue-500', + bgColor: 'bg-blue-50', + iconColor: 'text-blue-600', + }, + tip: { + icon: Lightbulb, + borderColor: 'border-amber-500', + bgColor: 'bg-amber-50', + iconColor: 'text-amber-600', + }, + warning: { + icon: AlertTriangle, + borderColor: 'border-red-500', + bgColor: 'bg-red-50', + iconColor: 'text-red-600', + }, +}; + +export const BlogInfoBox = ({ + type = 'info', + title, + children, +}: BlogInfoBoxProps) => { + const config = typeConfig[type]; + const Icon = config.icon; + + return ( +
+
+
+ +
+
+
{title}
+
{children}
+
+
+
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogLeadParagraph.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogLeadParagraph.tsx new file mode 100644 index 0000000..a1554e2 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogLeadParagraph.tsx @@ -0,0 +1,11 @@ +interface BlogLeadParagraphProps { + children: React.ReactNode; +} + +export const BlogLeadParagraph = ({ children }: BlogLeadParagraphProps) => { + return ( +

+ {children} +

+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogPostHeader.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogPostHeader.tsx new file mode 100644 index 0000000..9cb7b1a --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogPostHeader.tsx @@ -0,0 +1,88 @@ +import Image from 'next/image'; +import { Clock } from 'lucide-react'; +import type { BlogPost } from '../types'; +import { formatDate } from '../utils'; +import { BlogBreadcrumbs } from './BlogBreadcrumbs'; + +interface BlogPostHeaderProps { + post: BlogPost; +} + +export const BlogPostHeader = ({ post }: BlogPostHeaderProps) => { + return ( +
+ {/* Blur blob decorations */} +
+
+
+
+ +
+
+ {/* Left column - Content */} +
+
+ +
+ +
+ + {post.category} + + + + {post.readTime} + +
+ +

+ {post.title} +

+ +

+ {post.description} +

+ +
+ {post.author.name} +
+
+ {post.author.name} +
+
+ {formatDate(post.date)} +
+
+
+
+ + {/* Right column - Hero image */} +
+
+ {post.title} +
+
+
+
+
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogPricing.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogPricing.tsx new file mode 100644 index 0000000..e40c461 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogPricing.tsx @@ -0,0 +1,39 @@ +interface BlogPricingProps { + free?: string; + paid?: string; + perImage?: string; + sdk?: string; +} + +export const BlogPricing = ({ free, paid, perImage, sdk }: BlogPricingProps) => { + return ( +
+
+ {free && ( +
+ Free: + {free} +
+ )} + {paid && ( +
+ Paid: + {paid} +
+ )} + {perImage && ( +
+ Per image: + {perImage} +
+ )} + {sdk && ( +
+ SDK: + {sdk} +
+ )} +
+
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogQuote.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogQuote.tsx new file mode 100644 index 0000000..604774f --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogQuote.tsx @@ -0,0 +1,17 @@ +interface BlogQuoteProps { + children: React.ReactNode; + author?: string; +} + +export const BlogQuote = ({ children, author }: BlogQuoteProps) => { + return ( +
+

{children}

+ {author && ( +
+ — {author} +
+ )} +
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogServiceLink.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogServiceLink.tsx new file mode 100644 index 0000000..f8e8f5b --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogServiceLink.tsx @@ -0,0 +1,20 @@ +import { ExternalLink } from 'lucide-react'; + +interface BlogServiceLinkProps { + href: string; + children: React.ReactNode; +} + +export const BlogServiceLink = ({ href, children }: BlogServiceLinkProps) => { + return ( + + + {children} + + ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogShareButtons.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogShareButtons.tsx new file mode 100644 index 0000000..c0f548b --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogShareButtons.tsx @@ -0,0 +1,60 @@ +'use client'; + +import { Link as LinkIcon } from 'lucide-react'; + +interface BlogShareButtonsProps { + url?: string; + title?: string; +} + +export const BlogShareButtons = ({ url, title }: BlogShareButtonsProps) => { + const shareUrl = url || (typeof window !== 'undefined' ? window.location.href : ''); + const shareTitle = title || ''; + + const handleCopyLink = async () => { + try { + await navigator.clipboard.writeText(shareUrl); + } catch (err) { + console.error('Failed to copy link:', err); + } + }; + + const twitterUrl = `https://twitter.com/intent/tweet?url=${encodeURIComponent(shareUrl)}&text=${encodeURIComponent(shareTitle)}`; + const linkedinUrl = `https://www.linkedin.com/sharing/share-offsite/?url=${encodeURIComponent(shareUrl)}`; + + return ( +
+ + + + + + + + + + + + + +
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogSidebar.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogSidebar.tsx new file mode 100644 index 0000000..faef17e --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogSidebar.tsx @@ -0,0 +1,112 @@ +import Link from 'next/link'; +import Image from 'next/image'; +import { BookOpen, Code, FileText, Terminal, Webhook } from 'lucide-react'; +import type { BlogPost, RelatedDoc } from '../types'; +import { formatDate } from '../utils'; + +interface BlogSidebarProps { + relatedArticles: BlogPost[]; + relatedDocs: RelatedDoc[]; +} + +const iconMap: Record> = { + book: BookOpen, + code: Code, + file: FileText, + terminal: Terminal, + webhook: Webhook, +}; + +export const BlogSidebar = ({ + relatedArticles, + relatedDocs, +}: BlogSidebarProps) => { + return ( +
+ {relatedDocs.length > 0 && ( +
+

+ Related Docs +

+
+ {relatedDocs.map((doc) => { + const Icon = iconMap[doc.icon] || FileText; + return ( + + + {doc.title} + + ); + })} +
+
+ )} + +
+
+
+

+ Build faster with Banatie +

+

+ Integrate AI image generation into your app in minutes. Start for + free. +

+ + Get API Key + +
+
+ + {relatedArticles.length > 0 && ( +
+

+ Related Articles +

+
+ {relatedArticles.map((article) => ( + +
+ {article.heroImage ? ( + {article.title} + ) : ( + <> +
+
+ +
+ + )} +
+
+
+ {article.title} +
+

+ {formatDate(article.date)} · {article.readTime} +

+
+ + ))} +
+
+ )} +
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/BlogTOC.tsx b/apps/landing/src/app/(landings)/blog/_components/BlogTOC.tsx new file mode 100644 index 0000000..6a411b3 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/BlogTOC.tsx @@ -0,0 +1,91 @@ +'use client'; + +import { useEffect, useState } from 'react'; +import { ChevronDown } from 'lucide-react'; +import type { TocItem } from '../types'; + +interface BlogTOCProps { + items: TocItem[]; +} + +export const BlogTOC = ({ items }: BlogTOCProps) => { + const [activeId, setActiveId] = useState(''); + const [isExpanded, setIsExpanded] = useState(true); + + useEffect(() => { + const observer = new IntersectionObserver( + (entries) => { + entries.forEach((entry) => { + if (entry.isIntersecting) { + setActiveId(entry.target.id); + } + }); + }, + { rootMargin: '-20% 0px -35% 0px' } + ); + + items.forEach((item) => { + const element = document.getElementById(item.id); + if (element) observer.observe(element); + }); + + return () => observer.disconnect(); + }, [items]); + + const scrollToSection = (id: string) => { + const element = document.getElementById(id); + if (element) { + element.scrollIntoView({ behavior: 'smooth', block: 'start' }); + } + }; + + if (items.length === 0) { + return null; + } + + return ( +
+ +
+ +
+
+ ); +}; diff --git a/apps/landing/src/app/(landings)/blog/_components/index.ts b/apps/landing/src/app/(landings)/blog/_components/index.ts new file mode 100644 index 0000000..efd67f9 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_components/index.ts @@ -0,0 +1,15 @@ +export { BlogCard } from './BlogCard'; +export { BlogTOC } from './BlogTOC'; +export { BlogPostHeader } from './BlogPostHeader'; +export { BlogBreadcrumbs } from './BlogBreadcrumbs'; +export { BlogSidebar } from './BlogSidebar'; +export { BlogHeading } from './BlogHeading'; +export { BlogImage } from './BlogImage'; +export { BlogQuote } from './BlogQuote'; +export { BlogCTA } from './BlogCTA'; +export { BlogCodeBlock } from './BlogCodeBlock'; +export { BlogShareButtons } from './BlogShareButtons'; +export { BlogInfoBox } from './BlogInfoBox'; +export { BlogLeadParagraph } from './BlogLeadParagraph'; +export { BlogServiceLink } from './BlogServiceLink'; +export { BlogPricing } from './BlogPricing'; diff --git a/apps/landing/src/app/(landings)/blog/_posts/api-integration-tips.tsx b/apps/landing/src/app/(landings)/blog/_posts/api-integration-tips.tsx new file mode 100644 index 0000000..17182f6 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_posts/api-integration-tips.tsx @@ -0,0 +1,112 @@ +import { BlogHeading, BlogQuote, BlogCTA, BlogCodeBlock } from '../_components'; +import type { TocItem } from '../types'; + +export const tocItems: TocItem[] = [ + { id: 'overview', text: 'Overview', level: 2 }, + { id: 'authentication', text: 'Authentication Setup', level: 2 }, + { id: 'error-handling', text: 'Error Handling', level: 2 }, + { id: 'rate-limits', text: 'Rate Limits', level: 3 }, + { id: 'caching', text: 'Caching Strategies', level: 2 }, + { id: 'conclusion', text: 'Conclusion', level: 2 }, +]; + +export const Content = () => ( + <> + + Overview + +

+ Integrating the Banatie API into your application opens up a world of + possibilities for dynamic image generation. This guide covers the best + practices for a smooth integration. +

+

+ Whether you are building a web application, mobile app, or backend service, + these tips will help you get the most out of the API. +

+ + + Authentication Setup + +

+ All API requests require authentication via an API key. Here is how to + set it up properly: +

+ + + {`const headers = { + 'X-API-Key': process.env.BANATIE_API_KEY, + 'Content-Type': 'application/json' +}; + +const response = await fetch('https://api.banatie.app/text-to-image', { + method: 'POST', + headers, + body: JSON.stringify({ prompt: 'modern office' }) +});`} + + + + Never expose your API key in client-side code. Always make API calls + from your server. + + + + Error Handling + +

+ Proper error handling ensures your application gracefully handles + failures. The API returns standard HTTP status codes. +

+ + + {`try { + const response = await generateImage(prompt); + if (!response.ok) { + if (response.status === 429) { + // Rate limited - implement backoff + } + throw new Error(\`API error: \${response.status}\`); + } +} catch (error) { + console.error('Image generation failed:', error); + // Show fallback image +}`} + + + + Rate Limits + +

+ The API has rate limits to ensure fair usage. Plan your requests + accordingly and implement exponential backoff for retries. +

+ + + Caching Strategies + +

+ Caching generated images can significantly reduce API calls and improve + response times. Consider caching at multiple levels. +

+

+ Use CDN caching for frequently requested images and local caching for + user-specific content. +

+ + + Conclusion + +

+ Following these best practices will help you build a robust integration + with the Banatie API. Start small, test thoroughly, and scale as needed. +

+ + + +); diff --git a/apps/landing/src/app/(landings)/blog/_posts/design-workflow-optimization.tsx b/apps/landing/src/app/(landings)/blog/_posts/design-workflow-optimization.tsx new file mode 100644 index 0000000..161b5ee --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_posts/design-workflow-optimization.tsx @@ -0,0 +1,92 @@ +import { BlogHeading, BlogQuote, BlogCTA } from '../_components'; +import type { TocItem } from '../types'; + +export const tocItems: TocItem[] = [ + { id: 'introduction', text: 'Introduction', level: 2 }, + { id: 'traditional-workflow', text: 'Traditional Workflow Problems', level: 2 }, + { id: 'ai-powered-approach', text: 'AI-Powered Approach', level: 2 }, + { id: 'figma-integration', text: 'Figma Integration', level: 3 }, + { id: 'time-savings', text: 'Time Savings', level: 2 }, + { id: 'tips', text: 'Pro Tips', level: 2 }, +]; + +export const Content = () => ( + <> + + Introduction + +

+ Design workflows have traditionally been bottlenecked by the need for + placeholder content. Finding the right stock photos or waiting for + actual assets can slow down the creative process significantly. +

+

+ AI-generated placeholders offer a new paradigm where designers can + instantly visualize their concepts with contextually relevant images. +

+ + + Traditional Workflow Problems + +

+ The conventional design process often involves searching through stock + photo libraries, downloading images, and then realizing they do not quite + fit the vision. This cycle repeats multiple times per project. +

+ + + We used to spend hours just finding the right placeholder images. + Now we describe what we need and get it instantly. + + + + AI-Powered Approach + +

+ With AI-generated images, you simply describe what you need. Want a + hero image showing a team collaboration scene? Just ask for it. Need + product mockups with specific aesthetics? Describe the style. +

+

+ This approach keeps you in the creative flow instead of breaking + concentration to hunt for assets. +

+ + + Figma Integration + +

+ Many designers are using Banatie URLs directly in Figma prototypes. + This means your mockups automatically show relevant images without + manual image placement. +

+ + + Time Savings + +

+ Teams report saving 2-4 hours per project on asset hunting alone. + That time can now be spent on actual design work and iteration. +

+

+ The quick iteration cycle also means stakeholder feedback sessions + are more productive since designs look more complete. +

+ + + Pro Tips + +

+ Start with broad prompts and refine as needed. Use consistent style + descriptors across your project for visual coherence. Create a prompt + library for commonly used image types in your brand. +

+ + + +); diff --git a/apps/landing/src/app/(landings)/blog/_posts/image-generation-best-practices.tsx b/apps/landing/src/app/(landings)/blog/_posts/image-generation-best-practices.tsx new file mode 100644 index 0000000..85a0bf6 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_posts/image-generation-best-practices.tsx @@ -0,0 +1,97 @@ +import { BlogHeading, BlogQuote, BlogCTA } from '../_components'; +import type { TocItem } from '../types'; + +export const tocItems: TocItem[] = [ + { id: 'introduction', text: 'Introduction', level: 2 }, + { id: 'quality-settings', text: 'Quality Settings', level: 2 }, + { id: 'resolution', text: 'Resolution Guidelines', level: 3 }, + { id: 'consistency', text: 'Maintaining Consistency', level: 2 }, + { id: 'performance', text: 'Performance Optimization', level: 2 }, + { id: 'dos-and-donts', text: 'Dos and Donts', level: 2 }, +]; + +export const Content = () => ( + <> + + Introduction + +

+ Generating high-quality AI images consistently requires understanding + both the capabilities and limitations of the technology. This guide + shares proven practices from thousands of successful generations. +

+

+ Following these guidelines will help you achieve better results with + fewer iterations. +

+ + + Quality Settings + +

+ The API offers different quality tiers. Higher quality settings produce + better images but take longer to generate. Choose based on your use case. +

+

+ For prototyping and development, standard quality is often sufficient. + Reserve high quality for production assets. +

+ + + Resolution Guidelines + +

+ Match the resolution to your actual display size. Generating 4K images + for thumbnail displays wastes resources and slows performance. +

+ + + Start with the exact dimensions you need. You can always regenerate + at higher resolution for final production. + + + + Maintaining Consistency + +

+ For projects requiring visual consistency across multiple images, use + consistent style descriptors and seed values. Document your successful + prompts for reuse. +

+

+ Creating a style guide for your project prompts helps team members + generate images that feel cohesive. +

+ + + Performance Optimization + +

+ Cache generated images when possible. Use lazy loading for below-the-fold + images. Consider generating images ahead of time for predictable content. +

+

+ Batch similar requests together when generating multiple images to + optimize API usage. +

+ + + Dos and Donts + +

+ Do: Test prompts iteratively, use specific descriptors, + cache results, match resolution to need. +

+

+ Do not: Use vague prompts, generate unnecessarily high + resolutions, skip error handling, expose API keys client-side. +

+ + + +); diff --git a/apps/landing/src/app/(landings)/blog/_posts/midjourney-alternatives/assets/adobe-firefly-homepage.png b/apps/landing/src/app/(landings)/blog/_posts/midjourney-alternatives/assets/adobe-firefly-homepage.png new file mode 100644 index 0000000..5f02650 Binary files /dev/null and b/apps/landing/src/app/(landings)/blog/_posts/midjourney-alternatives/assets/adobe-firefly-homepage.png differ diff --git a/apps/landing/src/app/(landings)/blog/_posts/midjourney-alternatives/assets/banatie-homepage.png b/apps/landing/src/app/(landings)/blog/_posts/midjourney-alternatives/assets/banatie-homepage.png new file mode 100644 index 0000000..70a701d Binary files /dev/null and b/apps/landing/src/app/(landings)/blog/_posts/midjourney-alternatives/assets/banatie-homepage.png differ diff --git a/apps/landing/src/app/(landings)/blog/_posts/midjourney-alternatives/assets/black-forest-labs-homepage.png 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+} from '../../_components'; +import type { TocItem } from '../../types'; + +// Image imports +import midjourneyHomepage from './assets/midjourney-homepage.png'; +import leonardoAiHomepage from './assets/leonardo-ai-homepage.png'; +import adobeFireflyHomepage from './assets/adobe-firefly-homepage.png'; +import chatgptHomepage from './assets/chatgpt-homepage.png'; +import ideogramHomepage from './assets/ideogram-homepage.png'; +import googleGeminiHomepage from './assets/google-gemini-homepage.png'; +import recraftAiHomepage from './assets/recraft-ai-homepage.png'; +import reveAiHomepage from './assets/reve-ai-homepage.png'; +import blackForestLabsHomepage from './assets/black-forest-labs-homepage.png'; +import stabilityAiHomepage from './assets/stability-ai-homepage.png'; +import civitaiHomepage from './assets/civitai-homepage.png'; +import replicateHomepage from './assets/replicate-homepage.png'; +import falAiHomepage from './assets/fal-ai-homepage.png'; +import runwareHomepage from './assets/runware-homepage.png'; +import segmindHomepage from './assets/segmind-homepage.png'; +import novitaAiHomepage from './assets/novita-ai-homepage.png'; +import togetherAiHomepage from './assets/together-ai-homepage.png'; +import banatieHomepage from './assets/banatie-homepage.png'; +import poeHomepage from './assets/poe-homepage.png'; +import kreaAiHomepage from './assets/krea-ai-homepage.png'; +import freepikAiHomepage from './assets/freepik-ai-homepage.png'; + +export const tocItems: TocItem[] = [ + { id: 'ui-first-platforms', text: 'UI-First Platforms', level: 2 }, + { id: 'midjourney', text: 'Midjourney', level: 3 }, + { id: 'leonardo-ai', text: 'Leonardo AI', level: 3 }, + { id: 'adobe-firefly', text: 'Adobe Firefly', level: 3 }, + { id: 'chatgpt', text: 'ChatGPT / GPT-4o', level: 3 }, + { id: 'ideogram', text: 'Ideogram', level: 3 }, + { id: 'google-gemini', text: 'Google Gemini', level: 3 }, + { id: 'recraft-ai', text: 'Recraft AI', level: 3 }, + { id: 'reve-ai', text: 'Reve AI', level: 3 }, + { id: 'open-source', text: 'Open Source / Self-Hosted', level: 2 }, + { id: 'flux', text: 'FLUX', level: 3 }, + { id: 'stable-diffusion', text: 'Stable Diffusion 3.5', level: 3 }, + { id: 'civitai', text: 'Civitai', level: 3 }, + { id: 'api-first-platforms', text: 'API-First Platforms', level: 2 }, + { id: 'replicate', text: 'Replicate', level: 3 }, + { id: 'fal-ai', text: 'fal.ai', level: 3 }, + { id: 'banatie', text: 'Banatie', level: 3 }, + { id: 'runware', text: 'Runware', level: 3 }, + { id: 'segmind', text: 'Segmind', level: 3 }, + { id: 'novita-ai', text: 'Novita AI', level: 3 }, + { id: 'together-ai', text: 'Together AI', level: 3 }, + { id: 'aggregators', text: 'Aggregators', level: 2 }, + { id: 'poe', text: 'Poe', level: 3 }, + { id: 'krea-ai', text: 'Krea.ai', level: 3 }, + { id: 'freepik-ai', text: 'Freepik AI', level: 3 }, + { id: 'faq', text: 'FAQ', level: 2 }, + { id: 'conclusion', text: 'Conclusion', level: 2 }, +]; + +// Color-coded feature tags +const tagColors: Record = { + // Green - Commercial + 'Commercial safe': 'bg-emerald-100 text-emerald-700 ring-1 ring-emerald-500/20', + // Blue - API/Technical + 'API': 'bg-blue-100 text-blue-700 ring-1 ring-blue-500/20', + 'API (via providers)': 'bg-blue-100 text-blue-700 ring-1 ring-blue-500/20', + 'MCP': 'bg-blue-100 text-blue-700 ring-1 ring-blue-500/20', + 'SDK': 'bg-blue-100 text-blue-700 ring-1 ring-blue-500/20', + 'CLI': 'bg-blue-100 text-blue-700 ring-1 ring-blue-500/20', + 'CDN': 'bg-blue-100 text-blue-700 ring-1 ring-blue-500/20', + 'Image Hosting': 'bg-blue-100 text-blue-700 ring-1 ring-blue-500/20', + 'Live URLs': 'bg-blue-100 text-blue-700 ring-1 ring-blue-500/20', + // Purple - Reference types + 'Style ref': 'bg-violet-100 text-violet-700 ring-1 ring-violet-500/20', + 'Character ref': 'bg-violet-100 text-violet-700 ring-1 ring-violet-500/20', + 'Content ref': 'bg-violet-100 text-violet-700 ring-1 ring-violet-500/20', + 'Pose ref': 'bg-violet-100 text-violet-700 ring-1 ring-violet-500/20', + 'Depth ref': 'bg-violet-100 text-violet-700 ring-1 ring-violet-500/20', + // Orange - Text/Vector + 'Text': 'bg-amber-100 text-amber-700 ring-1 ring-amber-500/20', + 'Vector': 'bg-amber-100 text-amber-700 ring-1 ring-amber-500/20', + // Pink - Editing + 'Canvas': 'bg-pink-100 text-pink-700 ring-1 ring-pink-500/20', + 'Inpaint': 'bg-pink-100 text-pink-700 ring-1 ring-pink-500/20', + 'Outpaint': 'bg-pink-100 text-pink-700 ring-1 ring-pink-500/20', + 'Upscaling': 'bg-pink-100 text-pink-700 ring-1 ring-pink-500/20', + 'Object selection': 'bg-pink-100 text-pink-700 ring-1 ring-pink-500/20', + // Cyan - Video/Live + 'Video': 'bg-cyan-100 text-cyan-700 ring-1 ring-cyan-500/20', + 'Live editing': 'bg-cyan-100 text-cyan-700 ring-1 ring-cyan-500/20', + // Gray - Interface + 'Chatbot interface': 'bg-gray-100 text-gray-700 ring-1 ring-gray-500/20', +}; + +const FeatureTags = ({ tags }: { tags: string[] }) => ( +
+ {tags.map((tag) => ( + + {tag} + + ))} +
+); + +export const Content = () => ( + <> + + Midjourney set the standard for AI image generation. But it has + limitations: no official API, Discord-first interface, no free tier. In + 2026, dozens of alternatives exist for different needs — whether you want + a simple UI, need programmatic access, prefer self-hosting, or want to try + multiple models through one platform. + + +

+ This guide covers 19 tools across four categories. All pricing accurate as + of January 2026. +

+ + {/* UI-First Platforms */} + + UI-First Platforms + +

+ These services have their own web or app interfaces. No coding required. + Best for quick generation and iteration. +

+ + {/* Midjourney */} + + Midjourney — The Baseline + + midjourney.com + + +

+ The platform that defined AI art. 21M Discord members, ~1.4M paying + subscribers, 26.8% market share. What keeps users here: superior + photorealism with cinematic lighting, rich textures, and moody atmospheres + that feel emotionally resonant. The community-driven Discord approach + created an ecosystem where artists inspire each other in real-time — you + see what others create, learn from their prompts, iterate together. +

+

+ The tradeoff? Text rendering remains weak (~30% accuracy). The web app + launched alongside Discord, but the interface still lacks the project + organization and asset management that web-native competitors offer. But + for pure artistic quality and consistent aesthetic across generations, + it's still the benchmark others chase. +

+ +

+ Key features: V7 model with video generation (5-21 sec + clips). Style reference (--sref) and character reference (--cref) for + consistency. Omni-reference system. Web app now available alongside + Discord. +

+

+ Best for: Artistic quality, community feedback, consistent + aesthetic across projects. +

+ + {/* Leonardo AI */} + + Leonardo AI + + leonardo.ai + + +

+ 18M+ creators use Leonardo for game assets and concept art. What sets it + apart: granular control over every aspect of generation. + The Image Guidance suite offers six reference types (Style, Content, + Character, Pose, Depth, Edge) — upload a reference and the model respects + it. Multiple base models (Phoenix for photorealism, Anime XL for stylized + work) with adjustable parameters. Image-to-image workflows with strength + sliders. Style LoRAs (Elements) with tunable influence. This depth of + customization gives control that Midjourney's simpler interface + doesn't offer. +

+

+ Users love the balance between automation and creative authority. You + maintain your unique voice through robust customization rather than + surrendering control to the algorithm. The real-time Canvas with + inpaint/outpaint means less post-production work in external editors. +

+ +

+ Key features: Flow State real-time generation. Image + Guidance suite with 6 reference types. Real-time Canvas with + inpaint/outpaint. Motion 2.0 for video. Phoenix model for quality. + Elements (style LoRAs with adjustable strength). +

+

+ Best for: Game developers, concept artists, anyone who + needs character consistency across multiple generations. +

+

+ API:{' '} + REST API.{' '} + SDK: Python,{' '} + TypeScript.{' '} + MCP.{' '} + CDN hosting. Upscaling, inpainting, outpainting, background removal. +

+ + {/* Adobe Firefly */} + + Adobe Firefly + + firefly.adobe.com + + +

+ The enterprise-safe option. Firefly is trained only on Adobe Stock, public + domain, and licensed content — no scraped web data. This matters for + commercial work: IP indemnification on qualifying plans means legal + protection if copyright questions arise. +

+

+ Firefly 5 generates photorealistic images at native 4MP resolution with + strong anatomical accuracy. The Prompt to Edit feature + lets you describe changes in natural language — "move the tree," + "swap the sky" — and watch them happen instantly. Content + Credentials (C2PA standard) prove AI origin on every image, increasingly + important as AI detection becomes standard in publishing. +

+

+ For Creative Cloud users, the deep integration with Photoshop and + Illustrator eliminates the export-import dance between generation and + editing tools. +

+ +

+ Key features: Firefly 5 model (4MP native resolution). + Content Credentials on all images (C2PA standard proving AI origin). + Partner models include FLUX.2, Gemini, GPT. Deep integration with + Photoshop, Illustrator, and Creative Cloud. Style Kits for brand + consistency. Prompt to Edit natural language editing. +

+

+ Best for: Commercial projects where copyright matters. + Adobe users who want generation inside their existing workflow. +

+

+ API:{' '} + REST API.{' '} + SDK: JavaScript.{' '} + MCP.{' '} + S3+CloudFront CDN (temporary URLs). Generative fill, generative expand, background removal, upscaling. +

+ + {/* ChatGPT / GPT-4o */} + + ChatGPT / GPT-4o + + chatgpt.com + + +

+ GPT-4o generates images natively inside ChatGPT — the same interface + millions already use daily. No separate app, no new subscription, no + context switch. Need a quick mockup while discussing a project? Generate + it mid-conversation. The fundamental difference: conversational iteration. + "Make the sky darker" works exactly as you'd expect, and + the model maintains context across edits. Where other tools require + re-prompting from scratch, GPT-4o remembers what you're building. +

+

+ The breakthrough is text rendering. Earlier models mangled typography; + GPT-4o handles it cleanly — readable signs, labels, captions within + images. Anatomical accuracy (hands, faces) has improved dramatically. The + tradeoff is speed: ~1 minute per generation vs seconds on dedicated + platforms. +

+

+ Over 700 million images generated in a single week shows the adoption + curve. For users already paying for ChatGPT Plus, it's image + generation without another subscription. +

+ +

+ Key features: Best-in-class text rendering in images. + Strong anatomical accuracy (hands, faces). Conversational editing with + context preservation. C2PA metadata for provenance. Multi-turn generation + maintaining character consistency. +

+

+ Best for: Iterative refinement through conversation. + Images with readable text. Users who already pay for ChatGPT Plus. +

+

+ API:{' '} + REST API (DALL-E 3).{' '} + SDK: Python,{' '} + TypeScript.{' '} + Temporary CDN URLs. Basic transformation: variations, editing via masks. +

+ + {/* Ideogram */} + + Ideogram + + ideogram.ai + + +

+ Founded by former Google Brain researchers specifically to solve + typography in AI images. Where Midjourney achieves roughly 30% text + accuracy, Ideogram hits ~90%. This isn't incremental improvement — + it's a different category of capability. +

+

+ The Style Reference system lets you upload up to 3 + reference images to replicate colors, textures, and mood.{' '} + Random Styles accesses 4.3 billion+ combinations for + inspiration. Savable Style Codes store exact visual + styles for reuse — critical for brand consistency across campaigns. +

+

+ For logos, branding, marketing materials — anything where text needs to be + readable — Ideogram delivers production-ready results from the first + attempt. Less time fixing text errors in Photoshop. +

+ +

+ Key features: Ideogram 3.0 model with industry-leading + text rendering. Style Reference (up to 3 images). 4.3B+ Random Style + combinations. Savable Style Codes. Magic Fill and Extend editing. Multiple + style modes: Realistic, Design, 3D, Anime. +

+

+ Best for: Logos, branding, marketing materials — anything + where text needs to be readable. +

+

+ API:{' '} + REST API.{' '} + Temporary image URLs (expiring). Edit, remix, reframe, upscale, background replacement. +

+ + {/* Google Gemini */} + + Google Gemini / Imagen + + gemini.google.com + + +

+ Google's image generation spans multiple products. Gemini 2.5 Flash + Image (nicknamed "Nano Banana") became popular in 2025 for a + specific reason: multi-image fusion. Upload multiple + images, describe how to combine them, and the model merges elements + coherently. Restoring rooms with new color schemes, combining product + shots into lifestyle scenes — use cases that required Photoshop skills now + work through natural language. +

+

+ Character consistency across generations — historically + difficult in AI synthesis — works reliably. The semantic understanding + from Gemini's world knowledge means the model grasps context, not + just visual patterns. Strong text rendering, especially on the Pro model. +

+

+ For Google ecosystem users, the integration across Gemini app, Google + Photos, and developer APIs creates a seamless workflow. +

+

+ Models: Gemini 2.5 Flash Image (speed-optimized), Gemini + 3 Pro Image (quality-optimized), Imagen 3/4 (enterprise via Vertex AI). +

+ +

+ Key features: Multi-image fusion. Character and style + consistency across edits. Search-grounded generation (Pro model). Strong + text rendering. SynthID invisible watermarks. Natural language editing. +

+

+ Best for: Google ecosystem users. Developers who want + conversational editing with API access. Multi-image composition workflows. +

+

+ API:{' '} + REST API.{' '} + SDK: Python, JavaScript, Go, Java, C#.{' '} + CLI: gemini-cli.{' '} + Base64 response (no hosting). Inpainting, outpainting, upscaling, subject customization. +

+ + {/* Recraft AI */} + + Recraft AI + + recraft.ai + + +

+ One of only two AI tools with native SVG vector output (the other being + Adobe Firefly). 4M+ users, mostly designers. The difference matters: + vectors scale infinitely without quality loss. A logo generated here works + on business cards and billboards without creating multiple file versions. +

+

+ The Recraft-20B SVG model understands design principles, not just visual + patterns — clean vector paths that require minimal touch-up work. + Generated SVGs open directly in Illustrator and Figma for refinement. + According to Google's Web Performance research, SVG icons load 73% + faster than equivalent PNGs and use 85% less bandwidth. +

+

+ Precise color control through hex codes means brand + palettes stay consistent across generated assets. For icon sets, patterns, + and anything that needs infinite scalability — there's no real + alternative. +

+ +

+ Key features: True vector generation — export actual SVG + files, not rasterized images. V3 model with strong prompt adherence. + Pattern generation. Product mockups. Brand consistency tools with hex + color control. Accurate text rendering. AI vectorizer converts existing + PNGs/JPGs to SVG. +

+

+ Best for: Logo design, icon sets, patterns, anything that + needs to scale infinitely. +

+

+ API:{' '} + REST API (OpenAI-compatible).{' '} + Temporary image URLs. Vectorization, upscaling, inpainting, outpainting, background removal. +

+ + {/* Reve AI */} + + Reve AI + + reve.ai + + +

+ Launched March 2025, immediately claimed #1 on Artificial Analysis's + Image Arena with an ELO score of 1167 — outperforming Midjourney v6.1, + Nano Banana, and Seedream 4.0 in realism and text handling benchmarks. The + pricing is aggressive: $5 for 500 images works out to $0.01 per image. +

+

+ What's unusual:{' '} + full commercial rights on all outputs, including free tier + . Most platforms restrict commercial use to paid plans. Reve's 12B + parameter hybrid model delivers prompt adherence that rivals much larger + systems, with natural-language editing and image remixing (combine + multiple images into new compositions). +

+

+ For budget-conscious creators who still need quality, it's the value + play without quality compromise. +

+ +

+ Key features: 12B parameter hybrid model. Full commercial + rights on all images, including free tier. Natural language editing. Image + remixing (combine multiple images). Enhanced text rendering. Strong prompt + adherence. +

+

+ Best for: Budget-conscious creators who still need + quality. Commercial projects on a tight budget. +

+

+ API: Available via providers ({' '} + AIML API,{' '} + Replicate). +

+ + {/* Open Source / Self-Hosted */} + + Open Source / Self-Hosted + +

+ Run models on your own hardware. Higher setup cost, lower per-image cost + at scale. Full control over the pipeline. +

+ + {/* FLUX */} + + FLUX (Black Forest Labs) + + bfl.ai + + +

+ The community favorite for self-hosting. Black Forest Labs publishes + open-weight models alongside commercial offerings — their philosophy of + "sustainable open innovation" drives adoption among developers + who want control without vendor lock-in. +

+

+ FLUX.2's standout capability:{' '} + + multi-reference support combining up to 10 images simultaneously + {' '} + while maintaining character, product, and style consistency. The + architecture pairs a Mistral-3 24B vision-language model with a rectified + flow transformer — it understands real-world physics, lighting, + perspective, and material properties rather than just pattern matching. +

+

+ Text and typography mastery makes complex infographics, + memes, and UI mockups with legible fine text work reliably. The community + has developed FP8 quantizations that reduce VRAM requirements by 40% while + improving performance — running state-of-the-art generation on consumer + hardware. +

+ +

+ Models: Schnell (speed), Dev (balanced, most popular), + Pro (commercial license), Kontext (editing/context-aware). +

+

+ Hardware requirements: Full models need 16-24GB VRAM. + Quantized versions (GGUF) run on 6-8GB, with Q2 quantization possible on + 4GB. RAM: 16GB minimum, 32GB recommended. +

+

+ Key features: ComfyUI as the primary interface. + Multi-reference support (up to 10 images). ControlNet support via Flux + Tools (Canny, Depth) and XLabs collections. LoRA training through + FluxGym, Replicate trainer, or fal.ai. Top-tier prompt understanding. 32K + token context on Pro model. +

+

+ Best for: Developers who want maximum control. + High-volume generation where per-image cost matters. Custom model + training. +

+

+ API:{' '} + REST API.{' '} + MCP.{' '} + Temporary URLs (10 min expiration). Inpainting, outpainting, multi-reference editing. +

+ + {/* Stable Diffusion 3.5 */} + + Stable Diffusion 3.5 + + stability.ai + + +

+ The foundation model that democratized AI image generation. What Stable + Diffusion 3.5 brings: a{' '} + Multimodal Diffusion Transformer (MMDiT) architecture{' '} + that fundamentally improves how the model understands relationships + between text and images. Legible, contextually integrated text — the + long-standing challenge — now works. +

+

+ Three variants for different hardware realities: Large (8.1B params, + professional-grade), Large Turbo (4-step fast generation), and Medium + (runs on 9.9GB VRAM — standard consumer GPUs). The{' '} + permissive Community License enables commercial and + research applications without enterprise agreements. +

+

+ The ecosystem advantage is unmatched: thousands of fine-tunes, LoRAs, and + ControlNets built by the community. DreamBooth training works with as few + as five images. For developers wanting to customize rather than use + off-the-shelf, no other model has this depth of community tooling. +

+ +

+ Models: Large (8.1B params), Turbo (4-step fast + generation), Medium (9.9GB VRAM requirement). +

+

+ Hosted options: DreamStudio (official), Stability AI API, + plus dozens of third-party UIs. +

+

+ Key features: MMDiT architecture for superior prompt + adherence. Diverse style range (3D, photography, painting, line art). + Massive ecosystem of fine-tunes, LoRAs, and ControlNets. Query-Key + Normalization for simplified fine-tuning. Runs on consumer hardware. +

+

+ Best for: Local deployment. Custom pipeline development. + Access to the largest model ecosystem. +

+

+ API:{' '} + + REST API + + . SDK:{' '} + + Python + + ,{' '} + + Go + + . CLI via Python SDK. Upscaling, inpainting, + outpainting, background removal. +

+ + {/* Civitai */} + + Civitai + + civitai.com + + +

+ Not a model — a marketplace and community. Tens of thousands of + checkpoints, fine-tunes, and LoRAs for SD and FLUX families. What makes it + essential: finding niche styles that don't exist in base models. A + specific anime aesthetic, a particular photography style, a character + concept — someone has probably trained a model for it. +

+

+ The platform evolved into an all-in-one hub in 2025: + on-site image and video generation (including Vidu, Wan 2.1, Hunyuan), + integrated LoRA trainer (including video LoRA), and creator monetization + through the revised Creator Program. Usage Control lets model creators + restrict how their work is used. +

+ + Stricter moderation policies restrict real-person likenesses and extreme + content. Credit card payments were paused; ZKP2P alternatives exist but + add friction. Verify current status before building production workflows + around it. + + +

+ Key features: Browse tens of thousands of checkpoints: SD + families, FLUX variants, video models. Generate directly on-site: txt2img, + img2img, ControlNet. Built-in LoRA trainer (including video). Community + features: Bounties, Creator Program for monetization. Per-model licensing + with Usage Control. +

+

+ Best for: Finding niche styles. Community fine-tunes. + Exploring what's possible before training your own. +

+

+ API:{' '} + + REST API + + . CDN hosting (permanent URLs). +

+ + {/* API-First Platforms */} + + API-First Platforms + +

+ Midjourney has no official API. Third-party wrappers exist but violate ToS + and risk account bans. These platforms provide legitimate programmatic + access to image generation. +

+

+ Key considerations when choosing: pricing model (per-image vs GPU-time), + SDK support, model selection, latency. +

+ + {/* Replicate */} + + Replicate + + replicate.com + + +

+ The model marketplace for developers. 50,000+ production-ready models + spanning image generation, transcription, and beyond. The appeal:{' '} + run any model with one line of code, no GPU configuration + or backend setup required. +

+

+ Replicate's Cog tool lets you package and deploy custom models as + production APIs with automatic scaling and versioning. The{' '} + zero-scale economics mean you pay only when generating — + no idle capacity costs. Fine-tuning with custom data creates on-brand + outputs without infrastructure expertise. +

+ + Cloudflare agreed to acquire Replicate. The integration will make all + 50,000+ models available directly to Cloudflare Workers AI users — + building entire full-stack applications in one place. + + +

+ Key features: 50,000+ production-ready models via + Official Models program. Cog tool for deploying custom models. Zero-scale + economics — pay only when generating. Fine-tuning support. NVIDIA H100 GPU + support for demanding workloads. Cloudflare acquisition expands reach. +

+

+ Gotcha: Stripe payment issues reported in some regions. +

+

+ Best for: Model variety. Serverless deployment. Teams + that need zero-scale economics. +

+

+ API:{' '} + + REST API + + . SDK:{' '} + + Python + + ,{' '} + + Node.js + + ,{' '} + + Swift + + ,{' '} + + Go + + .{' '} + + MCP + + . CDN hosting. +

+ + {/* fal.ai */} + + fal.ai + + fal.ai + + +

+ Speed-focused platform. 600+ models including FLUX.2, often with day-zero + access to new releases. The technical edge:{' '} + inference engine up to 10x faster than traditional + deployments through 100+ custom CUDA kernels optimized for diffusion + transformers. +

+

+ For developers, zero DevOps friction matters: no GPU configuration, no + cold starts, no autoscaler setup. The TypeScript SDK (@fal-ai/client) + enables rapid prototyping with minimal boilerplate. The platform scales + from prototypes to 100M+ daily inference calls with 99.99% uptime. +

+

+ fal's FLUX.2 [dev] Turbo is 6x more efficient than + the full-weight model while being 3-10x cheaper than + comparable APIs. December 2025 funding: $140M Series D at $4.5B valuation + from Sequoia, NVIDIA, Kleiner Perkins, and a16z — validation of the + speed-first approach. +

+ +

+ Users: 2M+ developers. +

+

+ Key features: 10x faster inference via custom CUDA + kernels. Sub-second generation for Schnell. Day-zero access to new model + releases. No cold starts. Unified API across 600+ models. Real-time video + generation with temporal consistency. +

+

+ Best for: Speed-critical applications. TypeScript + developers. Teams that want the latest models first. +

+

+ API:{' '} + + REST API + + , WebSocket. SDK:{' '} + + TypeScript + + ,{' '} + + Python + + , Swift, Java, Kotlin, Dart.{' '} + + MCP + + .{' '} + + CLI + + . Style transfer, img2img. +

+ + {/* Banatie */} + + Banatie + + banatie.app + + +

+ Developer-native image generation built for AI coding workflows. +

+

+ The problem Banatie solves: generating images means leaving your IDE, + switching to an external tool, downloading files, organizing them + manually. This context-switching breaks flow, especially when you're + deep in a Claude Code or Cursor session. +

+

+ Banatie integrates directly into your development environment. MCP Server + connects to Claude Code, Cursor, and other MCP-compatible tools — generate + images without leaving your editor. REST API for standard HTTP access. + Prompt URLs let you generate images via URL parameters for on-demand + generation. SDK and CLI tools handle automation in build pipelines. +

+

+ The platform enhances your prompts automatically, delivers images through + a built-in CDN globally, and organizes everything by project. Use @name + references to maintain visual consistency across project images — + reference a character or style once, use it everywhere. +

+

+ Where other API platforms focus on model variety (Replicate), speed + (fal.ai), or cost (Runware), Banatie focuses on workflow. MCP integration, + built-in CDN, and Prompt URLs are unique to this platform. +

+

+ Best for: Developers using AI coding tools who want image + generation without leaving their editor. +

+

+ API:{' '} + + REST API + + . Live URLs. CDN hosting (permanent URLs). +

+ + {/* Runware */} + + Runware + + runware.ai + + +

+ The cost leader. Their Sonic Inference Engine runs on + AI-native hardware (custom servers, storage, networking, cooling) + achieving near-100% GPU utilization — effectively halving cost per + generation compared to traditional data centers. +

+

+ The numbers: $0.0006/image for FLUX Schnell — that's + 1,666 images per dollar. Sub-second inference times. 0.1s LoRA cold + starts. A unified API provides access to 300,000+ models including + open-source options from Civitai. +

+

+ The pricing model differs fundamentally from competitors:{' '} + cost-per-image rather than compute-time billing. You pay + for actual outputs regardless of processing overhead. Enterprise customers + report $100,000+ monthly savings migrating from competitors. +

+ +

+ Models: 300,000+ via unified API (SD, FLUX, Imagen). +

+

+ Key features: Sonic Inference Engine on custom hardware. + Sub-second inference. 0.1s LoRA cold starts. Per-image pricing (not + compute-time). Zero-day access to new releases. Runs on renewable energy. +

+

+ Best for: High-volume production. Cost-sensitive + projects. Startups watching burn rate. +

+

+ API:{' '} + + REST API + + , WebSocket. SDK:{' '} + + JavaScript + + ,{' '} + + Python + + . Upscaling, inpainting, outpainting, background + removal, vectorize. +

+ + {/* Segmind */} + + Segmind + + segmind.com + + +

+ Workflow-focused platform. PixelFlow is the + differentiator: a cloud-based drag-and-drop builder where you create + generative AI pipelines visually, then convert them directly into + production APIs. No code required to build complex multi-step workflows. +

+

+ The parallel processing capability runs a single input through multiple + models simultaneously — generate different variations using multiple SDXL + checkpoints at once. Combine text, image, audio, and video generation in + unified workflows: product descriptions → promotional images → + accompanying text → video — all without switching tools. +

+

+ 500+ AI models accessible, per-second billing (~$0.002/s on A100), and + 338+ pre-built templates covering AI sketch-to-3D, photo restoration, + portrait video, product ads, and infographics. +

+ +

+ Key features: PixelFlow visual workflow builder. Parallel + processing through multiple models. Publish workflows as API endpoints. + Multimodal AI integration (text, image, audio, video). 338+ pre-built + templates. Fine-tuning support. +

+

+ Best for: Complex generation pipelines. Teams building + custom image processing workflows. +

+

+ API:{' '} + + REST API + + . SDK:{' '} + + JavaScript + + . Image hosting (shareable URLs). Upscaling, + inpainting, outpainting, background removal, segmentation. +

+ + {/* Novita AI */} + + Novita AI + + novita.ai + + +

+ Budget option with startup-friendly programs. The{' '} + Agent Sandbox launched in 2025 delivers millisecond-level + startup times for AI agent workloads — optimized for high-concurrency + tasks where traditional cold starts kill performance. +

+

+ 10,000+ image models with rapid integration of trending open-source + releases (DeepSeek, Qwen, Llama 3) means access to cutting-edge tools + without corporate release cycle delays. The dual-service model combines + ready-to-use inference APIs with GPU cloud infrastructure for custom + development. +

+

+ The Startup Program offers up to $10,000 in credits — + meaningful runway for early-stage teams validating AI-powered features. +

+ +

+ Models: 10,000+ image models plus LLMs, video, audio. +

+

+ Key features: Agent Sandbox with millisecond startup + times. Serverless GPU endpoints. Dedicated Endpoints for custom models and + LoRA adapters. Function calling and structured outputs across LLMs. + Startup Program with $10k credits. +

+

+ Best for: Early-stage startups. Budget-constrained + projects. High-concurrency agent workflows. +

+

+ API:{' '} + + REST API + + . SDK:{' '} + + Python + + . Upscaling, inpainting, outpainting, background + removal, ControlNet. +

+ + {/* Together AI */} + + Together AI + + together.ai + + +

+ Unified AI platform covering text, image, and video generation. The + strategic advantage:{' '} + OpenAI-compatible endpoints make it a drop-in replacement + for teams migrating from proprietary APIs. Familiar SDK format, minimal + code changes. +

+

+ Inference runs up to 4x faster than traditional + deployments through speculative decoding, quantization, and FP8 kernels. + Browser-based fine-tuning launched in 2025 — customize models with your + own data without Python SDK installation. The data preprocessing engine + improved by up to 32% for large-scale training. +

+

+ 200+ open-source models across text, code, image, and multimodal + categories. Pay-as-you-go with no minimums enables experimentation; 99.9% + SLA availability handles production workloads. +

+ +

+ Models: 200+ (FLUX.2, SD3, Imagen, SeeDream, plus text + and code models). +

+

+ Key features: OpenAI-compatible endpoints for easy + migration. 4x faster inference. Browser-based fine-tuning without SDK. + Direct preference optimization (DPO) support. Integration with Hugging + Face Hub. 99.9% SLA. +

+

+ Best for: Teams standardized on OpenAI SDK. Projects + needing text + image + video from one provider. Easy migration from + proprietary APIs. +

+

+ API:{' '} + + REST API + {' '} + (OpenAI-compatible). SDK:{' '} + + Python + + ,{' '} + + TypeScript + + . CLI. CDN hosting. +

+ + {/* Aggregators */} + + Aggregators + +

+ One subscription, multiple models. Compare outputs side-by-side. Good for + exploration and finding the right model for your use case. +

+ + {/* Poe */} + + Poe (Quora) + + poe.com + + +

+ 100+ models through one interface, including FLUX-pro, GPT-Image, Imagen + 3/4, DALL-E 3, Gemini. The fundamental advantage:{' '} + + compare outputs from different models within a single conversation + {' '} + without managing separate subscriptions. +

+

+ What sets Poe apart from simple aggregators:{' '} + + group chats supporting up to 200 users across 200+ AI models + simultaneously + + . Families planning trips with specialized search models, creative teams + brainstorming with various image generators — collaborative AI workflows + that don't exist elsewhere. +

+

+ Custom bot creation lets you build chatbots using prompts and existing + models as a base. The July 2025 API release uses OpenAI-compatible format + for developer integration. Real-time chat sync across devices maintains + context when switching from desktop to mobile. +

+ +

+ API:{' '} + + REST API + {' '} + (OpenAI-compatible format). +

+

+ Key features: 100+ models including major providers. + Multi-model comparison in one chat. Group chats for 200 users across 200+ + models. Custom bot creation. App Creator for building simple tools. + Real-time cross-device sync. +

+

+ Best for: Exploring different models before committing. + One subscription for access to everything. Collaborative multi-model + workflows. +

+ + {/* Krea.ai */} + + Krea.ai + + krea.ai + + +

+ Real-time generation leader. The core innovation:{' '} + draw on the canvas and watch AI respond in under 50ms. + This transforms image generation from "prompt-wait-revise" into + active creative sculpting. You see results instantly, making iteration + feel like playing an instrument rather than operating a vending machine. +

+

+ The AI Strength slider is critical — balance how closely + AI follows your sketch versus how much creative freedom it exercises. + Designers rapidly iterate on logos, layouts, prototypes by painting + primitives and seeing instant results. Concept artists convert rough 3D + models into fully textured concept art in seconds. +

+

+ Beyond real-time generation: in/out-painting, style transfer, and an + Enhancer upscaling to 22K resolution. Krea also functions as an + image-to-video hub, dispatching stills to Runway, Luma, and Hailuo for + seamless storyboarding from static visuals to motion. +

+ +

+ Models: Flux, Veo 3, Kling, Runway, 20+ total. +

+

+ Key features: Real-time canvas — draw and see AI + generation in <50ms. AI Strength slider for control balance. 22K + resolution upscaling. In/out-painting and style transfer. AI Patterns for + tileable textures. Real-time video generation. Image-to-video hub + integration. +

+

+ Best for: Concept artists. Interactive co-creation. + Anyone who thinks in sketches rather than prompts. +

+

+ API:{' '} + + REST API + + . Upscaling, style transfer, enhance. +

+ + {/* Freepik AI */} + + Freepik AI + + freepik.com/ai + + +

+ All-in-one creative platform combining stock assets, AI generation, and + editing. The Mystic model delivers exceptional + photorealism with pixel-perfect text rendering — capabilities where + Midjourney and DALL-E 3 struggle. National Geographic-level composition + with skin textures and individual hair strands that exceed expectations + for AI-generated content. +

+

+ Mystic integrates finetunes of Stable Diffusion, Flux, and Magnific.ai + technology for 2K default resolution without upscaling. + Complex prompts complete in under a minute. For marketers creating social + media graphics, promotional materials, and branded content, the text + accuracy eliminates post-production fixes. +

+

+ The ecosystem integration matters: generate with Mystic, refine with + Retouch (selective editing), expand compositions, create variations — all + within one interface. No bouncing between Photoshop, design tools, and + image generators. +

+ +

+ Models: Mystic (proprietary, fine-tuned on + Flux/SD/Magnific), plus Flux and Ideogram. +

+

+ Key features: Mystic model with 2K default resolution. + Superior text rendering vs competitors. AI Video via Veo. Sketch-to-Image. + Custom Characters. Integrated Retouch, Expand, Reimagine tools. Multiple + model modes for different styles. +

+

+ Best for: Marketing teams. All-in-one creative workflow. + Text-heavy marketing materials. +

+

+ API:{' '} + + REST API + + . Multiple rendering engines. Style and structure reference images. + Character system. LoRA styles. +

+ + {/* FAQ */} + + FAQ + + +

+ Is there an AI better than Midjourney? +

+

+ Depends on what you need. For text rendering: Ideogram, Recraft, or + GPT-4o. For API access: fal.ai, Replicate, or Banatie. For free usage: + Leonardo AI, Gemini, or Reve. For commercial safety: Adobe Firefly. For + vectors: Recraft. Midjourney excels at artistic quality but lacks API + access and has no free tier. +

+ +

+ What is similar to Midjourney but free? +

+

+ Leonardo AI gives you 150 tokens daily. Gemini offers unlimited generation + in the app (with watermark). Reve provides 100 credits plus 20 per day. + Ideogram and Poe both have free tiers. For truly unlimited free + generation, self-host FLUX with ComfyUI — requires your own GPU. +

+ +

+ Which AI image generator has no restrictions? +

+

+ Most services have content policies. Self-hosted options (FLUX, Stable + Diffusion via Civitai) offer the most freedom. Civitai hosts community + models with varied restrictions. Note that "no restrictions" + often means NSFW content — check individual model licenses for commercial + use. +

+ +

+ Is Midjourney better than Stable Diffusion? +

+

+ Different tools for different needs. Midjourney: easier to use, consistent + artistic style, no setup. Stable Diffusion: free, fully customizable, + self-hostable, massive model ecosystem. For developers wanting + programmatic access, SD or FLUX via API gives more control. For artists + wanting quality-per-prompt, Midjourney remains hard to beat. +

+ +

+ Does Midjourney have an API? +

+

+ No official API. Third-party wrappers exist but violate Midjourney's + Terms of Service and risk account bans. For legitimate programmatic image + generation, use Replicate, fal.ai, Runware, Together AI, or Banatie. These + platforms provide similar quality models (especially FLUX) with proper API + access. +

+ + {/* Conclusion */} + + Conclusion + +

+ No single "best" Midjourney alternative exists — it depends on + your specific needs. +

+

+ Quick decision guide: +

+
    +
  • + Want a UI? → Leonardo AI, Reve, or Adobe Firefly +
    • +
  • + Need API access? → fal.ai, Runware, or Banatie +
    • +
  • + Prefer self-hosting? → FLUX with ComfyUI +
    • +
  • + Want to explore models? → Poe or Krea +
    • +
+ + + +); diff --git a/apps/landing/src/app/(landings)/blog/_posts/placeholder-images-guide.tsx b/apps/landing/src/app/(landings)/blog/_posts/placeholder-images-guide.tsx new file mode 100644 index 0000000..f5a38cd --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_posts/placeholder-images-guide.tsx @@ -0,0 +1,90 @@ +import { + BlogHeading, + BlogImage, + BlogQuote, + BlogCTA, + BlogCodeBlock, +} from '../_components'; +import type { TocItem } from '../types'; + +export const tocItems: TocItem[] = [ + { id: 'introduction', text: 'Introduction', level: 2 }, + { id: 'why-ai-placeholders', text: 'Why AI Placeholders?', level: 2 }, + { id: 'getting-started', text: 'Getting Started', level: 2 }, + { id: 'api-usage', text: 'API Usage', level: 3 }, + { id: 'next-steps', text: 'Next Steps', level: 2 }, +]; + +export const Content = () => ( + <> + + Introduction + +

+ Placeholder images have been a staple of web development for decades. + From simple gray boxes to stock photos, developers have always needed + a way to visualize layouts before final content is ready. +

+

+ Banatie takes this concept to the next level with AI-generated + contextual placeholders that actually match your design intent. +

+ + + Why AI Placeholders? + +

+ Traditional placeholder services give you random images that rarely + match your actual content needs. With AI-powered placeholders, you get + images that are contextually relevant to your project. +

+ + + Finally, placeholder images that actually look like what the final + product will have. No more explaining to clients why there are cats + everywhere. + + + + Getting Started + +

+ Getting started with Banatie is simple. You can use our CDN URLs + directly in your HTML or integrate with our API for more control. +

+ + + API Usage + +

+ Here is a simple example of how to use Banatie in your HTML: +

+ + + {`Office workspace`} + + +

+ The prompt parameter tells our AI what kind of image to generate. + Be descriptive for best results! +

+ + + Next Steps + +

+ Ready to start using AI-powered placeholders in your projects? + Check out our documentation for more detailed examples and API reference. +

+ + + +); diff --git a/apps/landing/src/app/(landings)/blog/_posts/prompt-engineering-basics.tsx b/apps/landing/src/app/(landings)/blog/_posts/prompt-engineering-basics.tsx new file mode 100644 index 0000000..4b92b31 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_posts/prompt-engineering-basics.tsx @@ -0,0 +1,112 @@ +import { BlogHeading, BlogQuote, BlogCTA, BlogCodeBlock } from '../_components'; +import type { TocItem } from '../types'; + +export const tocItems: TocItem[] = [ + { id: 'what-is-prompt-engineering', text: 'What is Prompt Engineering?', level: 2 }, + { id: 'basic-structure', text: 'Basic Prompt Structure', level: 2 }, + { id: 'subject', text: 'Subject', level: 3 }, + { id: 'style', text: 'Style', level: 3 }, + { id: 'context', text: 'Context', level: 3 }, + { id: 'common-mistakes', text: 'Common Mistakes', level: 2 }, + { id: 'advanced-techniques', text: 'Advanced Techniques', level: 2 }, +]; + +export const Content = () => ( + <> + + What is Prompt Engineering? + +

+ Prompt engineering is the art of crafting text descriptions that guide + AI models to generate the exact images you envision. It is a skill that + improves with practice and understanding of how AI interprets language. +

+

+ Good prompts are specific, descriptive, and structured in a way that + the AI can parse effectively. +

+ + + Basic Prompt Structure + +

+ A well-structured prompt typically includes three key elements: subject, + style, and context. Let us break down each component. +

+ + + Subject + +

+ The subject is what you want to see in the image. Be specific about + the main focus. +

+ + + {`Bad: "a person" +Good: "a young professional woman working at a laptop" +Better: "a young professional woman in business casual attire working at a MacBook in a modern office"`} + + + + Style + +

+ Style descriptors help define the visual aesthetic of the generated + image. +

+ + + {`Style keywords: +- "photorealistic" - for lifelike images +- "minimalist" - clean, simple compositions +- "vibrant colors" - saturated, energetic palette +- "soft lighting" - gentle, diffused light`} + + + + Context + +

+ Context provides background information and setting details. +

+ + + The more context you provide, the more aligned the result will be + with your vision. But avoid being so specific that you constrain + the AI too much. + + + + Common Mistakes + +

+ Avoid vague prompts like "something nice" or overly complex prompts + with contradicting elements. Do not list too many subjects as this + confuses the generation. +

+

+ Another common mistake is not iterating. Your first prompt rarely + produces the perfect result - refine and adjust. +

+ + + Advanced Techniques + +

+ As you gain experience, try techniques like negative prompting + (specifying what you do not want), weighted terms, and compositional + guidance. +

+

+ Keep a prompt journal to track what works for your specific use cases. +

+ + + +); diff --git a/apps/landing/src/app/(landings)/blog/_posts/use-cases-ecommerce.tsx b/apps/landing/src/app/(landings)/blog/_posts/use-cases-ecommerce.tsx new file mode 100644 index 0000000..e7b6a56 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/_posts/use-cases-ecommerce.tsx @@ -0,0 +1,109 @@ +import { BlogHeading, BlogQuote, BlogCTA, BlogCodeBlock } from '../_components'; +import type { TocItem } from '../types'; + +export const tocItems: TocItem[] = [ + { id: 'overview', text: 'Overview', level: 2 }, + { id: 'product-mockups', text: 'Product Mockups', level: 2 }, + { id: 'category-banners', text: 'Category Banners', level: 2 }, + { id: 'lifestyle-images', text: 'Lifestyle Images', level: 3 }, + { id: 'ab-testing', text: 'A/B Testing Visuals', level: 2 }, + { id: 'implementation', text: 'Implementation Example', level: 2 }, +]; + +export const Content = () => ( + <> + + Overview + +

+ E-commerce platforms face unique challenges when it comes to visual + content. From product listings to marketing banners, the need for + high-quality images is constant and demanding. +

+

+ AI-generated placeholders offer e-commerce teams a way to prototype, + test, and iterate faster than ever before. +

+ + + Product Mockups + +

+ Before product photography is complete, use AI to generate realistic + product mockups. This allows the development and marketing teams to + work in parallel rather than waiting for final assets. +

+ + + We launched our new collection page two weeks earlier by using AI + placeholders during development. Real photos were swapped in seamlessly + when ready. + + + + Category Banners + +

+ Category and promotional banners can be prototyped instantly. Test + different visual themes before committing to professional photo shoots. +

+

+ This is especially valuable for seasonal campaigns where timing is + critical. +

+ + + Lifestyle Images + +

+ Lifestyle images showing products in use are expensive to produce. + AI can generate concept images to validate ideas before investing + in professional shoots. +

+ + + A/B Testing Visuals + +

+ Test different visual styles with real users before full production. + Generate multiple variations of hero images and measure which performs + better. +

+

+ This data-driven approach to visual design can significantly improve + conversion rates. +

+ + + Implementation Example + +

+ Here is a simple example of using Banatie for product category images: +

+ + + {` +
+ Summer Collection +
+ + +
+ Product +
`} + + + + +); diff --git a/apps/landing/src/app/(landings)/blog/blog-posts.ts b/apps/landing/src/app/(landings)/blog/blog-posts.ts new file mode 100644 index 0000000..556f071 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/blog-posts.ts @@ -0,0 +1,137 @@ +import type { BlogPost } from './types'; + +export const blogPosts: BlogPost[] = [ + { + slug: 'midjourney-alternatives', + title: 'Best Midjourney Alternatives in 2026', + description: + '19 AI image generators compared: UI platforms, API services, open-source options, and aggregators. Find the right tool for your needs.', + heroImage: '/blog/midjourney-alternatives-hero.png', + category: 'guides', + date: '2026-01-18', + author: { + name: 'Banatie Team', + avatar: '/blog/authors/banatie-team.png', + }, + readTime: '25 min', + relatedArticles: ['api-integration-tips', 'placeholder-images-guide'], + relatedDocs: [ + { title: 'API Reference', href: '/docs/api/', icon: 'code' }, + { title: 'MCP Integration', href: '/docs/guides/', icon: 'terminal' }, + ], + }, + // { + // slug: 'placeholder-images-guide', + // title: 'Getting Started with AI Placeholder Images', + // description: + // 'Learn how to use Banatie to generate contextual placeholder images for your projects.', + // heroImage: '/blog/placeholder-guide-hero.jpg', + // category: 'guides', + // date: '2025-01-15', + // author: { + // name: 'Banatie Team', + // avatar: '/blog/authors/default.jpg', + // }, + // readTime: '5 min', + // relatedArticles: ['api-integration-tips', 'prompt-engineering-basics'], + // relatedDocs: [ + // { title: 'API Reference', href: '/docs/api/', icon: 'code' }, + // { title: 'Quick Start', href: '/docs/guides/', icon: 'book' }, + // ], + // }, + // { + // slug: 'api-integration-tips', + // title: 'API Integration Tips for Developers', + // description: + // 'Best practices for integrating Banatie API into your applications and workflows.', + // heroImage: '/blog/api-tips-hero.jpg', + // category: 'tutorials', + // date: '2025-01-12', + // author: { + // name: 'Banatie Team', + // avatar: '/blog/authors/default.jpg', + // }, + // readTime: '7 min', + // relatedArticles: ['placeholder-images-guide', 'image-generation-best-practices'], + // relatedDocs: [ + // { title: 'API Reference', href: '/docs/api/', icon: 'code' }, + // { title: 'Authentication', href: '/docs/guides/', icon: 'book' }, + // ], + // }, + // { + // slug: 'design-workflow-optimization', + // title: 'Optimizing Your Design Workflow with AI Images', + // description: + // 'How designers can speed up their prototyping process using AI-generated placeholders.', + // heroImage: '/blog/design-workflow-hero.jpg', + // category: 'guides', + // date: '2025-01-10', + // author: { + // name: 'Banatie Team', + // avatar: '/blog/authors/default.jpg', + // }, + // readTime: '6 min', + // relatedArticles: ['use-cases-ecommerce', 'placeholder-images-guide'], + // relatedDocs: [ + // { title: 'Getting Started', href: '/docs/guides/', icon: 'book' }, + // { title: 'Image Parameters', href: '/docs/api/', icon: 'code' }, + // ], + // }, + // { + // slug: 'prompt-engineering-basics', + // title: 'Prompt Engineering for Better Image Results', + // description: + // 'Master the art of writing prompts that generate exactly the images you need.', + // heroImage: '/blog/prompt-engineering-hero.jpg', + // category: 'tutorials', + // date: '2025-01-08', + // author: { + // name: 'Banatie Team', + // avatar: '/blog/authors/default.jpg', + // }, + // readTime: '8 min', + // relatedArticles: ['image-generation-best-practices', 'placeholder-images-guide'], + // relatedDocs: [ + // { title: 'Prompt Guide', href: '/docs/guides/', icon: 'book' }, + // { title: 'API Reference', href: '/docs/api/', icon: 'code' }, + // ], + // }, + // { + // slug: 'image-generation-best-practices', + // title: 'Best Practices for AI Image Generation', + // description: + // "Learn the do's and don'ts of generating high-quality AI images for your projects.", + // heroImage: '/blog/best-practices-hero.jpg', + // category: 'guides', + // date: '2025-01-05', + // author: { + // name: 'Banatie Team', + // avatar: '/blog/authors/default.jpg', + // }, + // readTime: '6 min', + // relatedArticles: ['prompt-engineering-basics', 'api-integration-tips'], + // relatedDocs: [ + // { title: 'Image Quality', href: '/docs/guides/', icon: 'book' }, + // { title: 'Parameters', href: '/docs/api/', icon: 'code' }, + // ], + // }, + // { + // slug: 'use-cases-ecommerce', + // title: 'AI Placeholders for E-commerce Projects', + // description: + // 'How online stores can use AI-generated images for product mockups and prototypes.', + // heroImage: '/blog/ecommerce-hero.jpg', + // category: 'use-cases', + // date: '2025-01-02', + // author: { + // name: 'Banatie Team', + // avatar: '/blog/authors/default.jpg', + // }, + // readTime: '5 min', + // relatedArticles: ['design-workflow-optimization', 'image-generation-best-practices'], + // relatedDocs: [ + // { title: 'Quick Start', href: '/docs/guides/', icon: 'book' }, + // { title: 'Batch Generation', href: '/docs/api/', icon: 'code' }, + // ], + // }, +]; diff --git a/apps/landing/src/app/(landings)/blog/page.tsx b/apps/landing/src/app/(landings)/blog/page.tsx new file mode 100644 index 0000000..9c92d04 --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/page.tsx @@ -0,0 +1,38 @@ +import type { Metadata } from 'next'; +import { getAllPosts } from './utils'; +import { BlogCard, BlogBreadcrumbs } from './_components'; + +export const metadata: Metadata = { + title: 'Blog | Banatie', + description: + 'Articles, guides, and updates about AI-powered placeholder images.', +}; + +export default function BlogPage() { + const posts = getAllPosts(); + + return ( +
+
+ + +

Blog

+

+ Articles, guides, and updates about AI-powered images. +

+ +
+ {posts.map((post) => ( + + ))} +
+ + {posts.length === 0 && ( +

+ No articles yet. Check back soon! +

+ )} +
+
+ ); +} diff --git a/apps/landing/src/app/(landings)/blog/types.ts b/apps/landing/src/app/(landings)/blog/types.ts new file mode 100644 index 0000000..dc7daca --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/types.ts @@ -0,0 +1,29 @@ +export interface BlogAuthor { + name: string; + avatar: string; +} + +export interface RelatedDoc { + title: string; + href: string; + icon: string; +} + +export interface BlogPost { + slug: string; + title: string; + description: string; + heroImage: string; + category: string; + date: string; + author: BlogAuthor; + readTime: string; + relatedArticles: string[]; + relatedDocs: RelatedDoc[]; +} + +export interface TocItem { + id: string; + text: string; + level: number; +} diff --git a/apps/landing/src/app/(landings)/blog/utils.ts b/apps/landing/src/app/(landings)/blog/utils.ts new file mode 100644 index 0000000..03fbd2b --- /dev/null +++ b/apps/landing/src/app/(landings)/blog/utils.ts @@ -0,0 +1,35 @@ +import type { Metadata } from 'next'; +import type { BlogPost } from './types'; +import { blogPosts } from './blog-posts'; + +export const getAllPosts = (): BlogPost[] => blogPosts; + +export const getPostBySlug = (slug: string): BlogPost | undefined => + blogPosts.find((p) => p.slug === slug); + +export const getPostsBySlugs = (slugs: string[]): BlogPost[] => + slugs + .map((slug) => getPostBySlug(slug)) + .filter((post): post is BlogPost => post !== undefined); + +export const generatePostMetadata = (post: BlogPost): Metadata => ({ + title: post.title, + description: post.description, + openGraph: { + title: post.title, + description: post.description, + images: [post.heroImage], + type: 'article', + publishedTime: post.date, + authors: [post.author.name], + }, +}); + +export const formatDate = (dateString: string): string => { + const date = new Date(dateString); + return date.toLocaleDateString('en-US', { + year: 'numeric', + month: 'long', + day: 'numeric', + }); +}; diff --git a/apps/landing/src/app/(landings)/layout.tsx b/apps/landing/src/app/(landings)/layout.tsx index 231c7c3..99c1d0e 100644 --- a/apps/landing/src/app/(landings)/layout.tsx +++ b/apps/landing/src/app/(landings)/layout.tsx @@ -9,7 +9,7 @@ export default function LandingsLayout({ return ( <> {/* Sticky Header */} -
+