<p>Boogu-Image Turbo is the speed-distilled text-to-image build in the Boogu-Image 0.1 family. It carries the same 10B-parameter backbone as <a href="/models/2714299" rel="ugc">Boogu-Image Base</a> but is tuned to produce photorealistic results in just 4 steps with CFG 0, trading some of Base's diversity for a large jump in generation speed.</p>
<p><strong>Originally released by the <a href="https://huggingface.co/Boogu" rel="ugc">Boogu team</a> on Hugging Face.</strong> 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 href="https://github.com/boogu-project/Boogu-Image" rel="ugc">original repo</a> and <a href="https://boogu.org" rel="ugc">project site</a> for weights, updates, and to support the project directly.</p>
<h3><strong>Built by the Boogu project</strong></h3>
<ul>
<li><a href="https://boogu.org" rel="ugc">Boogu project</a> - model training and release</li>
<li><a href="https://huggingface.co/Boogu" rel="ugc">Hugging Face org</a> and <a href="https://modelscope.cn/organization/Boogu" rel="ugc">ModelScope org</a> - weights and variant downloads</li>
<li>Acknowledged upstream influences: Qwen-Image, Z-Image, OmniGen2, FLUX, and DeepSeek</li>
</ul>
<h3><strong>What it does</strong></h3>
<p>Turbo is the build to reach for when throughput matters: fast iteration, batch work, and interactive generation. It keeps the family's strengths in photography, bilingual Chinese and English text rendering, stylization, and poster design, at a fraction of the step count. Recommended starting point is 4 steps, CFG 0.</p>
<h3><strong>Versions on Civitai</strong></h3>
<p>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 required Qwen3-VL 8B text encoder and the Flux VAE are bundled. Note: this is a full distilled checkpoint, not a LoRA.</p>
<h3><strong>Related Boogu models</strong></h3>
<p><a href="/models/2714299" rel="ugc">Boogu-Image Base</a> is the full-quality foundation model at 25 to 50 steps. <a href="/models/2714541" rel="ugc">Boogu-Image Edit</a> adds image-to-image editing.</p>
<h3><strong>Known limitations</strong></h3>
<p>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.</p>
<h3><strong>Links</strong></h3>
<ul>
<li>Source: <a href="https://huggingface.co/Boogu" rel="ugc">Hugging Face</a> | <a href="https://github.com/boogu-project/Boogu-Image" rel="ugc">GitHub</a> | <a href="https://modelscope.cn/organization/Boogu" rel="ugc">ModelScope</a></li>
<li>Project site: <a href="https://boogu.org" rel="ugc">boogu.org</a></li>
<li>Gallery: <a href="https://boogu-gallery.netlify.app/" rel="ugc">boogu-gallery.netlify.app</a></li>
</ul>
<p><em>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.</em></p>

Boogu-Image Turbo

booguImageTurbo_v01.safetensors

booguImageTurbo_v01_txt.safetensors

Files with SHA256: a97ccbf40f0e607fb5727fe6568335bf3d2b81c32c704a521d2f129aa428a20b