Boogu-Image Edit is the image editing build in the Boogu-Image 0.1 family, a 10B-parameter model that takes a text prompt plus a source image and returns an edited result. It handles object insertion, replacement, and removal, attribute changes, and text editing while keeping the rest of the scene intact.Originally released by the <a target="_blank" rel="ugc" href="https://huggingface.co/Boogu">Boogu team</a> on Hugging Face. All credit for the model goes to the Boogu project and its contributors. Civitai is hosting a mirror so creators can run it on-site without a local setup - please head to the <a target="_blank" rel="ugc" href="https://github.com/boogu-project/Boogu-Image">original repo</a> and <a target="_blank" rel="ugc" href="https://boogu.org">project site</a> for weights, updates, and to support the project directly.<h3 id="built-by-the-boogu-project">Built by the Boogu project</h3><ul><li><a target="_blank" rel="ugc" href="https://boogu.org">Boogu project</a> - model training and release</li><li><a target="_blank" rel="ugc" href="https://huggingface.co/Boogu">Hugging Face org</a> and <a target="_blank" rel="ugc" href="https://modelscope.cn/organization/Boogu">ModelScope org</a> - weights and variant downloads</li><li>Acknowledged upstream influences: Qwen-Image, Z-Image, OmniGen2, FLUX, and DeepSeek</li></ul><h3 id="what-it-does">What it does</h3>Edit is a text-plus-image-to-image model for targeted changes: add or remove objects, swap attributes (color, material, style), and edit rendered text, all driven by a natural-language instruction. It shares the family's bilingual Chinese and English text handling and runs at 25 to 50 steps with CFG in the 2.0 to 5.0 range.<h3 id="versions-on-civitai">Versions on Civitai</h3>We mirror the v0.1 release in three diffusion builds: <code>bf16</code> full precision (~20GB), <code>fp8_scaled</code> (~10GB), and <code>nvfp4</code> (~5.7GB). The Qwen3-VL 8B text encoder and the Flux VAE are bundled so you can assemble a complete editing workflow.<h3 id="related-boogu-models">Related Boogu models</h3><a target="_blank" rel="ugc" href="/models/2714299">Boogu-Image Base</a> is the text-to-image foundation model. <a target="_blank" rel="ugc" href="/models/2714686">Boogu-Image Turbo</a> is the fast 4-step text-to-image variant.<h3 id="known-limitations">Known limitations</h3>The Boogu team is candid that 0.1 is an early research release: limited world knowledge for brands, celebrities, and landmarks; instability in strict subject preservation; occasional text typos or layout drift; and artifacts in complex poses, small faces, and limbs.<h3 id="links">Links</h3><ul><li>Source: <a target="_blank" rel="ugc" href="https://huggingface.co/Boogu">Hugging Face</a> | <a target="_blank" rel="ugc" href="https://github.com/boogu-project/Boogu-Image">GitHub</a> | <a target="_blank" rel="ugc" href="https://modelscope.cn/organization/Boogu">ModelScope</a></li><li>Project site: <a target="_blank" rel="ugc" href="https://boogu.org">boogu.org</a></li><li>Gallery: <a target="_blank" rel="ugc" href="https://boogu-gallery.netlify.app/">boogu-gallery.netlify.app</a></li></ul>Boogu-Image 0.1 is a research project, not an official product release. The Boogu team asks that you not build unauthorized commercial products under the Boogu name. Licensed under Apache 2.0.

Boogu-Image Edit-turbo

booguImageEditTurbo_v01_txt.safetensors

booguImageEditTurbo_v01.safetensors

v0.1

<h2 id="official-comfy-org-repackaged-models">Official Comfy-Org repackaged models</h2>Make sure you have ComfyUI version 0.27.0 or newer installed to have the latest INT8 support/fixes.Speed comparison (5070ti)<code>NVFP4 3.08s/it</code><code>int8_convrot 2.83s/it</code><code>NVFP4 (cuda++) 2.40s/it</code><code>int8_convrot (cuda++) 2.09s/it</code><h2 id="introduction">📖 Introduction</h2>Boogu-Image-0.1 is a competitive Apache-2.0 open-source unified image generation and editing model family, including Base, Turbo, Edit, and Edit-Turbo, and other variants that provide stable, practical capabilities for high-quality text-to-image generation, fast generation, image editing, and Chinese-English text rendering. Closed-source multimodal understanding and generation systems like Nano Banana Pro and GPT-Image-2 achieve remarkable performance not because of a single model, but through a highly unified suite of system capabilities. However, under training compute that is extremely limited compared with closed-source systems, we find that systematically improving a model's understanding ability, data quality, and training pipeline can still significantly improve image generation and editing performance. Specifically, compared with some existing open-source models, our training data scale is roughly one order of magnitude smaller. We hope our empirical study and open-source release will help advance the open-source ecosystem for multimodal generation and understanding.<h3 id="links">Links</h3><ul><li>Source: <a target="_blank" rel="ugc" href="https://huggingface.co/Boogu">Hugging Face</a> | <a target="_blank" rel="ugc" href="https://github.com/boogu-project/Boogu-Image">GitHub</a> | <a target="_blank" rel="ugc" href="https://modelscope.cn/organization/Boogu">ModelScope</a></li><li>Project site: <a target="_blank" rel="ugc" href="http://boogu.org">boogu.org</a></li><li>Gallery: <a target="_blank" rel="ugc" href="http://boogu-gallery.netlify.app">boogu-gallery.netlify.app</a></li><li>Comfy-Org on <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Boogu-Image">Hugging Face</a></li></ul>Boogu-Image 0.1 is a research project, not an official product release. The Boogu team asks that you not build unauthorized commercial products under the Boogu name. Licensed under Apache 2.0.

Boogu Official Comfy-Org Checkpoints

Official Comfy-Org boogu_image_edit_turbo_int8_convrot<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Boogu-Image">https://huggingface.co/Comfy-Org/Boogu-Image</a>

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