Error: Can't find mmproj file for 'Qwen2.5-VL-7B-Instruct-Q3_K_M.gguf' (matching:'qwen2.5-vl-7b-instruct')! Qwen-Image-Edit will be broken!Rename the mmproj-F16:<h3 id="make-sure-the-downloaded-text-encoder-has-the-correct-file-naming-(whatever_text-encoder.gguf-paired-with-whatever_text-encoder_mmproj-f16.gguf)">Make sure the downloaded text encoder has the correct file naming (whatever_text-encoder.gguf paired with whatever_text-encoder_mmproj-F16.gguf)</h3><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5359bf23-cc7b-488e-a784-8fdd884ce37e/width=525/5359bf23-cc7b-488e-a784-8fdd884ce37e.jpeg" />Demo: <a target="_blank" rel="ugc" href="https://chat.qwen.ai/">https://chat.qwen.ai/</a> Text encooder FP8: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1864281?modelVersionId=2110105">https://civarchive.com/models/1864281?modelVersionId=2110105</a>Workflow GGUF: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1881851/qwen-iamge-edit-gguf-lightning-4steps-comfyui">https://civarchive.com/models/1881851/qwen-iamge-edit-gguf-lightning-4steps-comfyui</a><hr />This FP8-optimized (e4m3fn) conversion of Qwen-Image-Edit, now fully compatible with the latest Qwen-VL image editing features! Leveraging Alibaba's advanced multimodal AI, this model enables seamless text-guided image manipulation, perfect for precise edits, prompt-based adjustments, and creative refinements. The model is mirrored here for convenience.

Qwen-Image-Edit FP8 & GGUF

qwenImageEditFP8GGUF_vae.safetensors

mmproj-F16

txt-enc-7B-Instruct-Q3

Q3_K_M.gguf

FP8-e4m3fn

This is a 3-bit quantized GGUF conversion of the <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image">Qwen/Qwen-Image</a> model, released by <a target="_blank" rel="ugc" href="https://huggingface.co/city96/Qwen-Image-gguf">City96</a> and mirrored here for convenience. The Q3_K_M variant is optimized for GPUs with at least 10GB VRAM,<ul><li>Tested VRAM Usage:<ul><li>Ubuntu, Firefox (8 tabs): ~8.8 - 9.2 GB VRAM (CFG 3, 20 Steps, uni_pc, normal, 5.4s/it)</li><li>Windows 11, Brave (1 tab), MiniConda, GGUF excluded from Windows Defender: ~9.6 GB VRAM</li></ul>Tips: Offload monitor tasks to an integrated GPU to free up VRAM. Runs smoothly on Linux or Windows</li></ul>

Qwen-Image GGUF  3Q_K_M - 10G VRAM

qwenImageGGUF3QKM10G_vae.safetensors

Text Encoder

We are thrilled to release Qwen-Image, an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing. Experiments show strong general capabilities in both image generation and editing, with exceptional performance in text rendering, especially for Chinese.One of its standout capabilities is high-fidelity text rendering across diverse images. Whether it’s alphabetic languages like English or logographic scripts like Chinese, Qwen-Image preserves typographic details, layout coherence, and contextual harmony with stunning accuracy. Text isn’t just overlaid—it’s seamlessly integrated into the visual fabric.Beyond text, Qwen-Image excels at general image generation with support for a wide range of artistic styles. From photorealistic scenes to impressionist paintings, from anime aesthetics to minimalist design, the model adapts fluidly to creative prompts, making it a versatile tool for artists, designers, and storytellers.When it comes to image editing, Qwen-Image goes far beyond simple adjustments. It enables advanced operations such as style transfer, object insertion or removal, detail enhancement, text editing within images, and even human pose manipulation—all with intuitive input and coherent output. This level of control brings professional-grade editing within reach of everyday users.But Qwen-Image doesn’t just create or edit—it understands. It supports a suite of image understanding tasks, including object detection, semantic segmentation, depth and edge (Canny) estimation, novel view synthesis, and super-resolution. These capabilities, while technically distinct, can all be seen as specialized forms of intelligent image editing, powered by deep visual comprehension.Together, these features make Qwen-Image not just a tool for generating pretty pictures, but a comprehensive foundation model for intelligent visual creation and manipulation—where language, layout, and imagery converge.<h3 id="license-agreement">License Agreement</h3>Qwen-Image is licensed under Apache 2.0.Original Text and Models: <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image">https://huggingface.co/Qwen/Qwen-Image</a>

Qwen-Image

qwenImage_qwenImageVAE.safetensors

Qwen Image VAE

Qwen-Image Full BF16

Qwen Image Workflow

qwen_2.5_vl_7b_fp8_scaled

Qwen_Image_fp8_e4m3fn

Qwen Lightning 8 Step

This is a direct GGUF conversion of <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image">Qwen/Qwen-Image</a>.The model files can be used in <a target="_blank" rel="ugc" href="https://github.com/comfyanonymous/ComfyUI/">ComfyUI</a> with the <a target="_blank" rel="ugc" href="https://github.com/city96/ComfyUI-GGUF">ComfyUI-GGUF</a> custom node. Place the required model(s) in the following folders:

Qwen-Image - GGUF

qwenImageGGUF_vae.safetensors

Qwen CLIP

Q5_K_M

Based on Anima Preview 2<a target="_blank" rel="ugc" href="https://huggingface.co/circlestone-labs/Anima">Anima</a> is a 2-billion parameter text-to-image model developed by <a target="_blank" rel="ugc" href="https://huggingface.co/circlestone-labs">CircleStone Labs</a> in collaboration with Comfy Org. Built on the <a target="_blank" rel="ugc" href="https://research.nvidia.com/labs/dir/cosmos-predict2/">NVIDIA Cosmos</a> architecture and utilizing the Qwen text encoder, it serves as a specialized foundation for high-end anime and artistic generation.<h3 id="model-recipe">Model recipe</h3>Merge of <a target="_blank" rel="ugc" href="https://civarchive.com/models/2385278/animayume?modelVersionId=2798563">AnimaYume_v0.3</a> + <a target="_blank" rel="ugc" href="https://civarchive.com/models/2383017/anima-cat-tower?modelVersionId=2790168">AnimaCatTower_v0.4</a> + own trained LoRAsMerging the models:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fba8cf05-b711-4aa5-9f18-f840ae7a7ac8/original=true/fba8cf05-b711-4aa5-9f18-f840ae7a7ac8.jpeg" />Merging the loras:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/76ffd0fb-cc21-4606-9286-6e5c1a17cdf8/original=true/76ffd0fb-cc21-4606-9286-6e5c1a17cdf8.jpeg" />Workflows are embedded in the images.<h3 id="personal-recommended-settings">Personal Recommended Settings</h3><ul><li>Steps: 25</li><li>CFG Scale: 5.0</li><li>Sampler: <code>euler_ancestral</code></li><li>Scheduler: <code>simple</code></li></ul><a target="_blank" rel="ugc" href="https://www.comfy.org/workflows/image_anima_preview-cc053bb55df6/">ComfyUI Workflow</a>

Anima Zenkai

qwen_image_vae.safetensors

animaZenkai_preview3.safetensors

animaZenkai_preview3_txt.safetensors

Preview3

Preview2 v1.0

We are excited to introduce Qwen-Image-Edit, the image editing version of Qwen-Image. Built upon our 20B Qwen-Image model, Qwen-Image-Edit successfully extends Qwen-Image’s unique text rendering capabilities to image editing tasks, enabling precise text editing. Furthermore, Qwen-Image-Edit simultaneously feeds the input image into Qwen2.5-VL (for visual semantic control) and the VAE Encoder (for visual appearance control), achieving capabilities in both semantic and appearance editing. Key Features:<ul><li>Semantic and Appearance Editing: Qwen-Image-Edit supports both low-level visual appearance editing (such as adding, removing, or modifying elements, requiring all other regions of the image to remain completely unchanged) and high-level visual semantic editing (such as IP creation, object rotation, and style transfer, allowing overall pixel changes while maintaining semantic consistency).</li><li>Precise Text Editing: Qwen-Image-Edit supports bilingual (Chinese and English) text editing, allowing direct addition, deletion, and modification of text in images while preserving the original font, size, and style.</li><li>Strong Benchmark Performance: Evaluations on multiple public benchmarks demonstrate that Qwen-Image-Edit achieves state-of-the-art (SOTA) performance in image editing tasks, establishing it as a powerful foundation model for image editing.</li></ul><h2 id="showcase">Showcase</h2>One of the highlights of Qwen-Image-Edit lies in its powerful capabilities for semantic and appearance editing. Semantic editing refers to modifying image content while preserving the original visual semantics. To intuitively demonstrate this capability, let's take Qwen's mascot—Capybara—as an example:<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%873.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%873.JPG#center" alt="Capibara" /></a>As can be seen, although most pixels in the edited image differ from those in the input image (the leftmost image), the character consistency of Capybara is perfectly preserved. Qwen-Image-Edit's powerful semantic editing capability enables effortless and diverse creation of original IP content. Furthermore, on Qwen Chat, we designed a series of editing prompts centered around the 16 MBTI personality types. Leveraging these prompts, we successfully created a set of MBTI-themed emoji packs based on our mascot Capybara, effortlessly expanding the IP's reach and expression.<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%874.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%874.JPG#center" alt="MBTI meme series" /></a>Moreover, novel view synthesis is another key application scenario in semantic editing. As shown in the two example images below, Qwen-Image-Edit can not only rotate objects by 90 degrees, but also perform a full 180-degree rotation, allowing us to directly see the back side of the object:<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8712.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8712.JPG#center" alt="Viewpoint transformation 90 degrees" /></a><a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8713.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8713.JPG#center" alt="Viewpoint transformation 180 degrees" /></a>Another typical application of semantic editing is style transfer. For instance, given an input portrait, Qwen-Image-Edit can easily transform it into various artistic styles such as Studio Ghibli. This capability holds significant value in applications like virtual avatar creation:<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%871.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%871.JPG#center" alt="Style transfer" /></a>In addition to semantic editing, appearance editing is another common image editing requirement. Appearance editing emphasizes keeping certain regions of the image completely unchanged while adding, removing, or modifying specific elements. The image below illustrates a case where a signboard is added to the scene. As shown, Qwen-Image-Edit not only successfully inserts the signboard but also generates a corresponding reflection, demonstrating exceptional attention to detail.<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%876.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%876.JPG#center" alt="Adding a signboard" /></a>Below is another interesting example, demonstrating how to remove fine hair strands and other small objects from an image.<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%877.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%877.JPG#center" alt="Removing fine strands of hair" /></a>Additionally, the color of a specific letter "n" in the image can be modified to blue, enabling precise editing of particular elements.<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%878.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%878.JPG#center" alt="Modifying text color" /></a>Appearance editing also has wide-ranging applications in scenarios such as adjusting a person's background or changing clothing. The three images below demonstrate these practical use cases respectively.<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8711.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8711.JPG#center" alt="Modifying backgrounds" /></a><a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%875.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%875.JPG#center" alt="Modifying clothing" /></a>Another standout feature of Qwen-Image-Edit is its accurate text editing capability, which stems from Qwen-Image's deep expertise in text rendering. As shown below, the following two cases vividly demonstrate Qwen-Image-Edit's powerful performance in editing English text:<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8715.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8715.JPG#center" alt="Editing English text 1" /></a><a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8716.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8716.JPG#center" alt="Editing English text 2" /></a>Qwen-Image-Edit can also directly edit Chinese posters, enabling not only modifications to large headline text but also precise adjustments to even small and intricate text elements.<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8717.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8717.JPG#center" alt="Editing Chinese posters" /></a>Finally, let's walk through a concrete image editing example to demonstrate how to use a chained editing approach to progressively correct errors in a calligraphy artwork generated by Qwen-Image:<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8718.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8718.JPG#center" alt="Calligraphy artwork" /></a>In this artwork, several Chinese characters contain generation errors. We can leverage Qwen-Image-Edit to correct them step by step. For instance, we can draw bounding boxes on the original image to mark the regions that need correction, instructing Qwen-Image-Edit to fix these specific areas. Here, we want the character "稽" to be correctly written within the red box, and the character "亭" to be accurately rendered in the blue region.<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8719.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8719.JPG#center" alt="Correcting characters" /></a>However, in practice, the character "稽" is relatively obscure, and the model fails to correct it correctly in one step. The lower-right component of "稽" should be "旨" rather than "日". At this point, we can further highlight the "日" portion with a red box, instructing Qwen-Image-Edit to fine-tune this detail and replace it with "旨".<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8720.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8720.JPG#center" alt="Fine-tuning character" /></a>Isn't it amazing? With this chained, step-by-step editing approach, we can continuously correct character errors until the desired final result is achieved.<a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8721.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8721.JPG#center" alt="Final version 1" /></a><a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8722.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8722.JPG#center" alt="Final version 2" /></a><a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8723.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8723.JPG#center" alt="Final version 3" /></a><a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8724.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8724.JPG#center" alt="Final version 4" /></a><a target="_blank" rel="ugc" href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8725.JPG#center"><img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit_en/%E5%B9%BB%E7%81%AF%E7%89%8725.JPG#center" alt="Final version 5" /></a>Finally, we have successfully obtained a completely correct calligraphy version of Lantingji Xu (Orchid Pavilion Preface)! In summary, we hope that Qwen-Image-Edit can further advance the field of image generation, truly lower the technical barriers to visual content creation, and inspire even more innovative applications.<h2 id="license-agreement">License Agreement</h2>Qwen-Image-Edit is licensed under Apache 2.0.<span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Original Text and Models: <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-Edit"><span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">https://huggingface.co/Qwen/Qwen-Image-Edit</a>

Qwen-Image-Edit

qwenImageEdit_qwenImageEditVAE.safetensors

Qwen-Image-Edit VAE

Qwen-Image-Edit Full BF16

Qwen-Image-Lighting-4step

Workflow

Qwen_Img_Edit_fp8_e4m3fn

The is the stock <a rel="ugc" href="https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors">Qwem-Image VAE</a> from <a rel="ugc" href="https://huggingface.co/Comfy-Org">Comfy-Org</a>

Qwen-Image VAE

The is the stock VAE for Qwen-Imageqwen_image_vae.safetensors

qwenImageVAE_qwenImageVAE.safetensors

Qwen_Image_VAE

Files with SHA256: a70580f0213e67967ee9c95f05bb400e8fb08307e017a924bf3441223e023d1f