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    <title>Forem: Pixivo AI</title>
    <description>The latest articles on Forem by Pixivo AI (@pixivo-ai).</description>
    <link>https://forem.com/pixivo-ai</link>
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      <title>Forem: Pixivo AI</title>
      <link>https://forem.com/pixivo-ai</link>
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    <item>
      <title>How I Use Pixivo AI to Generate and Edit Images Without Design Skills</title>
      <dc:creator>Pixivo AI</dc:creator>
      <pubDate>Tue, 05 May 2026 09:07:15 +0000</pubDate>
      <link>https://forem.com/pixivo-ai/how-i-use-pixivo-ai-to-generate-and-edit-images-without-design-skills-3h5c</link>
      <guid>https://forem.com/pixivo-ai/how-i-use-pixivo-ai-to-generate-and-edit-images-without-design-skills-3h5c</guid>
      <description>&lt;h2&gt;
  
  
  What is Pixivo AI?
&lt;/h2&gt;

&lt;p&gt;Pixivo AI is an all-in-one AI-powered image creation and editing platform built for creators, makers, and businesses. It helps users generate, edit, and enhance images in seconds using natural language or simple uploads—no design background required.&lt;/p&gt;

&lt;h2&gt;
  
  
  What problems does it solve?
&lt;/h2&gt;

&lt;p&gt;Creating high-quality visuals usually means switching between multiple tools or relying on professional design software. Pixivo AI brings image generation, editing, and enhancement into one place, making the entire workflow faster and simpler.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key features
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Generate images from text or reference images
&lt;/li&gt;
&lt;li&gt;Edit images using natural language instructions
&lt;/li&gt;
&lt;li&gt;Remove backgrounds and objects with clean, commercial-ready results
&lt;/li&gt;
&lt;li&gt;Upscale images up to 4× without losing detail
&lt;/li&gt;
&lt;li&gt;Extend images with AI outpainting
&lt;/li&gt;
&lt;li&gt;Create product photos, portraits, and scene designs
&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Who is it for?
&lt;/h2&gt;

&lt;p&gt;Pixivo AI is useful for:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Content creators and social media managers&lt;/li&gt;
&lt;li&gt;Designers and marketers who want faster workflows&lt;/li&gt;
&lt;li&gt;E-commerce sellers creating product images&lt;/li&gt;
&lt;li&gt;Anyone who wants professional visuals without learning design tools&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Getting started
&lt;/h2&gt;

&lt;p&gt;Pixivo AI offers free credits for new users, so you can try core features without a credit card.&lt;/p&gt;

&lt;p&gt;👉 👉 &lt;a href="https://pixivo.ai" rel="noopener noreferrer"&gt;Pixivo AI&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;If you’re experimenting with AI image tools or looking to simplify visual creation, Pixivo AI is worth checking out.&lt;/p&gt;

</description>
      <category>ai</category>
      <category>design</category>
      <category>typescript</category>
      <category>node</category>
    </item>
    <item>
      <title>LTX 2.3 Workflows and Tutorials Collection</title>
      <dc:creator>Pixivo AI</dc:creator>
      <pubDate>Fri, 17 Apr 2026 15:11:14 +0000</pubDate>
      <link>https://forem.com/pixivo-ai/ltx-23-workflows-and-tutorials-collection-5fn5</link>
      <guid>https://forem.com/pixivo-ai/ltx-23-workflows-and-tutorials-collection-5fn5</guid>
      <description>&lt;p&gt;LTX Workflow is a comprehensive resource hub for creating AI videos with LTX 2.3 and ComfyUI.&lt;/p&gt;

&lt;p&gt;🎬 What you get:&lt;br&gt;
  • Step-by-step tutorials for text-to-video, image-to-video, and motion control&lt;br&gt;
  • Ready-to-use ComfyUI workflow files&lt;br&gt;
  • Model comparison and optimization guides&lt;br&gt;
  • Hardware requirements and performance tips&lt;br&gt;
  • Community showcase and research updates&lt;/p&gt;

&lt;p&gt;🚀 Why LTX 2.3?&lt;br&gt;
  • Open-source and free&lt;br&gt;
  • Runs locally on consumer GPUs&lt;br&gt;
  • High-quality video generation&lt;br&gt;
  • Active community support&lt;/p&gt;

&lt;p&gt;Perfect for creators, developers, and AI enthusiasts who want to generate professional AI videos without expensive cloud APIs.&lt;/p&gt;

&lt;p&gt;Website: &lt;a href="https://ltxworkflow.com" rel="noopener noreferrer"&gt;https://ltxworkflow.com&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>ltx</category>
      <category>comfyui</category>
    </item>
    <item>
      <title>How I built a free browser-based watermark remover using Canvas API</title>
      <dc:creator>Pixivo AI</dc:creator>
      <pubDate>Sun, 05 Apr 2026 14:13:12 +0000</pubDate>
      <link>https://forem.com/pixivo-ai/how-i-built-a-free-browser-based-watermark-remover-using-canvas-api-1if3</link>
      <guid>https://forem.com/pixivo-ai/how-i-built-a-free-browser-based-watermark-remover-using-canvas-api-1if3</guid>
      <description>&lt;p&gt;I recently built CleanMark — a free, browser-based watermark removal tool that runs entirely in your&lt;br&gt;
  browser with no uploads, no registration, and no cost.&lt;/p&gt;

&lt;p&gt;Try it here: &lt;a href="https://cleanmark.org" rel="noopener noreferrer"&gt;https://cleanmark.org&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;## The core idea&lt;/p&gt;

&lt;p&gt;Most watermark removers send your image to a server. CleanMark does everything locally using the&lt;br&gt;
  browser's Canvas API — your image never leaves your device.&lt;/p&gt;

&lt;p&gt;## How Canvas inpainting works&lt;/p&gt;

&lt;p&gt;The technique is called inpainting — filling in a selected region based on surrounding pixels.        &lt;/p&gt;

&lt;p&gt;Here's the basic flow:                                                                                &lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;User selects the watermark area with a brush or rectangle tool
&lt;/li&gt;
&lt;li&gt;The selection becomes a mask (white = remove, black = keep)
&lt;/li&gt;
&lt;li&gt;For each masked pixel, sample neighboring non-masked pixels
&lt;/li&gt;
&lt;li&gt;Fill the masked area using a weighted average of those neighbors
&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;The sampling strategy matters a lot. A naive approach just averages nearby pixels, which creates a&lt;br&gt;&lt;br&gt;
  blurry patch. A better approach uses patch-based matching — find a similar texture patch elsewhere in &lt;br&gt;
  the image and copy it in.                                                                             &lt;/p&gt;

&lt;p&gt;For CleanMark, I implemented a fast approximation:                                                    &lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Scan outward from each masked pixel in concentric rings
&lt;/li&gt;
&lt;li&gt;Weight closer pixels more heavily
&lt;/li&gt;
&lt;li&gt;Apply a slight blur to blend edges
&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;This works well for simple backgrounds (gradients, solid colors, textures) which covers most watermark&lt;br&gt;
   use cases.                                                                                           &lt;/p&gt;

&lt;p&gt;## Why browser-only?                                                                                  &lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Privacy: your images stay on your device
&lt;/li&gt;
&lt;li&gt;Cost: no server = no hosting bill
&lt;/li&gt;
&lt;li&gt;Speed: no upload/download round trip
&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;## Stack                                                                                              &lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Next.js (App Router)
&lt;/li&gt;
&lt;li&gt;Canvas API for image processing
&lt;/li&gt;
&lt;li&gt;next-intl for i18n (English + Chinese)
&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;## What's next                                                                                        &lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Improve inpainting quality for complex backgrounds
&lt;/li&gt;
&lt;li&gt;Add batch processing
&lt;/li&gt;
&lt;li&gt;Open source the core algorithm
&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;If you're building image tools in the browser, the Canvas API is more powerful than most people&lt;br&gt;&lt;br&gt;
  realize. Happy to answer questions about the implementation.    &lt;/p&gt;

</description>
      <category>nextjs</category>
      <category>javascript</category>
      <category>webdev</category>
      <category>opensource</category>
    </item>
    <item>
      <title>How I built a browser-based AI watermark remover with Next.js and Canvas API</title>
      <dc:creator>Pixivo AI</dc:creator>
      <pubDate>Sat, 04 Apr 2026 14:36:58 +0000</pubDate>
      <link>https://forem.com/pixivo-ai/how-i-built-a-browser-based-ai-watermark-remover-with-nextjs-and-canvas-api-g22</link>
      <guid>https://forem.com/pixivo-ai/how-i-built-a-browser-based-ai-watermark-remover-with-nextjs-and-canvas-api-g22</guid>
      <description>&lt;h2&gt;
  
  
  The Problem
&lt;/h2&gt;

&lt;p&gt;AI tools like Gemini and Doubao add watermarks to generated images. Removing them usually requires&lt;br&gt;
  desktop software or paid services. I wanted something instant, free, and private.&lt;/p&gt;

&lt;p&gt;## The Solution&lt;/p&gt;

&lt;p&gt;CleanMark — 4 tools, all running client-side in the browser.&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Gemini Watermark Remover (auto-detect &amp;amp; remove)&lt;/li&gt;
&lt;li&gt;Doubao Watermark Remover (auto-detect &amp;amp; remove)&lt;/li&gt;
&lt;li&gt;Manual Eraser (brush tool for any custom watermark)&lt;/li&gt;
&lt;li&gt;Logo Overlay (cover watermarks with your own brand)&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;## Tech Stack&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Next.js 16 App Router&lt;/li&gt;
&lt;li&gt;Canvas API for image processing&lt;/li&gt;
&lt;li&gt;next-intl for i18n (EN/ZH)&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;## How the Watermark Removal Works&lt;/p&gt;

&lt;p&gt;The core idea is Canvas-based inpainting — analyze pixels around the watermark and fill with&lt;br&gt;
  surrounding colors.&lt;/p&gt;

&lt;p&gt;### For Gemini &amp;amp; Doubao (Automatic)&lt;/p&gt;

&lt;p&gt;These AI tools embed watermarks at fixed, predictable positions. So we:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Load the image onto an HTML canvas&lt;/li&gt;
&lt;li&gt;Identify the watermark region (known coordinates/pattern)&lt;/li&gt;
&lt;li&gt;Sample neighboring pixels outside the watermark area&lt;/li&gt;
&lt;li&gt;Fill the region using a weighted average of surrounding pixels&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;### For Manual Eraser&lt;/p&gt;

&lt;p&gt;The user paints over the watermark with a brush:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Sample pixels around each stroke point&lt;/li&gt;
&lt;li&gt;Apply blur/average to blend with surroundings&lt;/li&gt;
&lt;li&gt;Result looks natural because it inherits local texture&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;### Why Client-Side?&lt;/p&gt;

&lt;p&gt;All processing uses the native browser Canvas API — no server needed. The image never leaves the&lt;br&gt;
  device, zero privacy risk, instant results.&lt;/p&gt;

&lt;p&gt;## Try it&lt;/p&gt;

&lt;p&gt;&lt;a href="https://cleanmark.org" rel="noopener noreferrer"&gt;https://cleanmark.org&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;a href="https://github.com/sunzhenyu/CleanMark" rel="noopener noreferrer"&gt;https://github.com/sunzhenyu/CleanMark&lt;/a&gt;&lt;/p&gt;

</description>
      <category>nextjs</category>
      <category>javascript</category>
      <category>opensource</category>
      <category>webdev</category>
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