Originally released by <a rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1">Qwen on Hugging Face</a>. All credit goes to the Qwen team.
Qwen Image 2.1 combines text-to-image generation and image editing in a single model. Its visual generation component has 7 billion parameters across 32 single-stream DiT layers, balancing image quality, efficiency and versatility.
The release introduces four main improvements:
<ul>
 <li>Efficient architecture: Mixed-granularity attention and reuse of cached prefixes reduce computation while maintaining image quality.</li>
 <li>Generation and editing with transparency: Create regular or transparent RGBA images, edit transparent layers and isolate subjects from photographs.</li>
 <li>Flexible editing: Work with up to ten reference images, guide local changes using circles, painted annotations or separate masks, and preserve the identity of people and products.</li>
 <li>Improved visual detail: Refined typography, portrait lighting, realistic textures and finer details.</li>
</ul>
Released under the <a rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE">Qwen Research License Agreement</a>. See the <a rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1">original model card</a> for examples and usage instructions.

Qwen Image 2.1

qwen_image_2.1_int8_convrot.safetensors

qwen_image_2.1_bf16.safetensors

qwen_image_2.1_vae_bf16.safetensors

qwen3vl_8b_w4a8.safetensors

qwen3.5_9b_qwen_image_2.1_pe_t2i.int8_convrot.safetensors

qwen3vl_8b_bf16.safetensors

qwen3vl_8b_int8_convrot.safetensors

qwen3.5_9b_qwen_image_2.1_pe_i2i.int8_convrot.safetensors

v2.1

v2.1 Turbo

<h1 id="qwen3-vl">Qwen3-VL</h1>Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.This generation delivers comprehensive upgrades across the board: superior text understanding &amp; generation, deeper visual perception &amp; reasoning, extended context length, enhanced spatial and video dynamics comprehension, and stronger agent interaction capabilities.Available in Dense and MoE architectures that scale from edge to cloud, with Instruct and reasoning‑enhanced Thinking editions for flexible, on‑demand deployment.Key Enhancements:<ul><li>Visual Agent: Operates PC/mobile GUIs—recognizes elements, understands functions, invokes tools, completes tasks.</li><li>Visual Coding Boost: Generates Draw.io/HTML/CSS/JS from images/videos.</li><li>Advanced Spatial Perception: Judges object positions, viewpoints, and occlusions; provides stronger 2D grounding and enables 3D grounding for spatial reasoning and embodied AI.</li><li>Long Context &amp; Video Understanding: Native 256K context, expandable to 1M; handles books and hours-long video with full recall and second-level indexing.</li><li>Enhanced Multimodal Reasoning: Excels in STEM/Math—causal analysis and logical, evidence-based answers.</li><li>Upgraded Visual Recognition: Broader, higher-quality pretraining is able to “recognize everything”—celebrities, anime, products, landmarks, flora/fauna, etc.</li><li>Expanded OCR: Supports 32 languages (up from 19); robust in low light, blur, and tilt; better with rare/ancient characters and jargon; improved long-document structure parsing.</li><li>Text Understanding on par with pure LLMs: Seamless text–vision fusion for lossless, unified comprehension.</li></ul>Model Architecture Updates:<img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3-VL/qwen3vl_arc.jpg" width="80%" /><ol><li>Interleaved-MRoPE: Full‑frequency allocation over time, width, and height via robust positional embeddings, enhancing long‑horizon video reasoning.</li><li>DeepStack: Fuses multi‑level ViT features to capture fine‑grained details and sharpen image–text alignment.</li><li>Text–Timestamp Alignment: Moves beyond T‑RoPE to precise, timestamp‑grounded event localization for stronger video temporal modeling.</li></ol>

Qwen3-VL

qwen3vl_8b_fp8_scaled.safetensors

qwen3vl_8b_nvfp4.safetensors

<h2 id="qwen-image-2.1-text-encoder">Qwen Image 2.1 Text Encoder</h2>The original text encoder of Qwen Image 2.1 (Qwen3-VL 8B), ready for ComfyUI.<h3 id="what-it-is">What it is</h3><ul><li>The model that reads your prompt for Qwen Image 2.1: Qwen3-VL 8B</li><li>Two files<ul><li>int8 convrot, 9.35 GB, the default </li><li>w4a8, 6.3 GB, for 8 GB cards and low RAM </li></ul></li><li>Uncensored out of the box</li><li>Same file names as in ComfyUI's official templates, so they load as is</li></ul>No abliteration neededQwen Image 2.1 renders nudity and adult scenes with this original encoder. Noct Q uses it.<h3 id="works-with">Works with</h3><ul><li>Qwen Image 2.1, base and turbo, for text-to-image and editing</li><li>Noct Q, the uncensored Qwen Image 2.1 in Turbo and Base versions: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2958896">https://civarchive.com/models/2958896</a></li><li>The Qwen Image 2.1 VAE: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2960925">https://civarchive.com/models/2960925</a></li><li>Not with Krea 2, which uses the 4B encoder: <a rel="ugc" href="https://civarchive.com/models/2974755">Krea 2 Text Encoder</a></li></ul><h3 id="install">Install</h3><ul><li>Put it in ComfyUI/models/text_encoders/ and load it with the Load CLIP node, type qwen_image (ComfyUI 0.37.0 or newer)</li></ul><h3 id="about-the-images">About the images</h3>Rendered with Qwen Image 2.1 Base (int8 convrot, 25 steps, cfg 1, 1024x1536) and this encoder. Each prompt tests one thing the encoder has to get right: text in English and Chinese, counts, placement, two people with their own clothes.中文：Qwen Image 2.1 原版文本编码器（Qwen3-VL 8B）：int8 convrot（9.35 GB，默认）和 w4a8（6.3 GB，适合 8G 显存）。放入 ComfyUI/models/text_encoders/，用 Load CLIP 节点（type 选 qwen_image）加载。Qwen Image 2.1 使用原版编码器即可生成成人内容，无需 abliterated 版本。仅限非商业用途。<h3 id="license">License</h3>Built with Qwen. Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved. Free, non-commercial use only. LICENSE and NOTICE are in the zip.

Qwen Image 2.1 Text Encoder (original Qwen3-VL 8B, uncensored) | 夜曲 ✨

The original Qwen3-VL 8B text encoder of Qwen Image 2.1, in int8 convrot and w4a8. Built with Qwen.

qwen_image_2.1_text_encoder_licence_notice.zip

v1.0

Files with SHA256: 7754425e55e7bea2bfde4dde59a4cc236cb44e5ee9c215ea66ef8d47012824eb