AlibabaAlibaba·🖌️ Inpainting

Qwen Edit Uncensored

private
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Quick reference
Qwen Edit Uncensored — TLDR
  • - 🆕 Uncensored image-editing (inpaint) variant in Alibaba's Qwen Edit line
  • - 🧠 Built on the Qwen-Image editing architecture for instruction-driven edits
  • - 👁️ Combines a vision-language encoder with a VAE for editing control
  • - 🔧 Targets inpainting and localized add/remove/modify edits
  • - 📚 Qwen-Image-Edit supports bilingual (Chinese/English) text editing
  • - 🔒 "Uncensored" framing implies reduced content filtering versus stock builds
  • - 🏢 Released June 2026 within Alibaba's broad Qwen model family
  • - 🌐 Catalog sibling to Qwen Image 2 editing models
💰 Pricing
$0.040
per edit
📅 On Venice since
Jun 4, 2026
46 days ago
Provider

Alibaba Group is a Chinese multinational technology company founded in 1999 and headquartered in Hangzhou, Zhejiang. Originally built around e-commerce and cloud computing, Alibaba has become one of the most prolific contributors to open-weight AI research,…

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51 models on Venice
20 video · 18 text · 5 image · 4 inpaint · 2 embedding · 2 tts
Since Jan 11, 2025

About this model

Qwen Edit Uncensored is an image-editing (inpainting) model released in June 2026, positioned within Alibaba's Qwen Edit family. It is the catalog successor to Qwen Edit 2511, and sits alongside the image-editing variants Qwen Image 2 and Qwen Image 2 Pro.

Architecturally, the Qwen image-editing line is built on the 20B Qwen-Image base model and extends its text-rendering strengths to editing tasks. Official documentation for Qwen-Image-Edit describes feeding the input image both into a Qwen2.5-VL component for visual-semantic control and into a VAE encoder for appearance control, enabling low-level appearance edits (adding, removing, or modifying elements) as well as higher-level semantic edits. It also supports precise bilingual text editing while preserving original font, size, and style.

The "Uncensored" designation indicates a build with reduced content filtering relative to the standard releases, derived from the same underlying editing pipeline as its predecessors. Beyond that distinction, no provider model card, technical paper, or independent evaluation establishing distinct capability or benchmark figures for this specific variant was available, so quantitative comparisons against earlier Qwen Edit releases or sibling models cannot be responsibly stated here. Treat capability claims as inherited from the documented Qwen-Image-Edit foundation rather than independently verified for this listing.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 3d ago