Boogu Turbo · Text to Image

ABOUT THE WORKFLOW

Generate an Image
Type what you want to see and get a photorealistic image in seconds. Boogu Turbo is distilled for speed, so it finishes in 4 steps instead of the usual 25. It also renders English and Chinese text inside images with high accuracy. That's it.

Model

• Boogu-Image-0.1-Turbo by the Boogu Team. A distilled 10B parameter text-to-image model (Apache-2.0) built for speed and photorealism. Generates images in 4 steps with strong bilingual text rendering.

HOW IT WORKS

Step 1. Write a prompt
Describe what you want to see. Be specific about the subject, setting, lighting, and style. "Image of a chubby orange cat wearing a superhero cape and standing proudly on a cardboard box" works better than "cat picture."

Step 2. Hit run and download
Boogu Turbo generates the image in 4 steps and returns the result. Preview it in the workflow, then download.
Ready for: Photoshop · Figma · Canva · any editor

First time? Leave every setting as-is. The defaults (1920×1280 · 4 steps · 1 guidance) are the right starting point for almost everyone.

RECOMMENDED SETTINGS

Quick-start guide. Find the goal that matches yours and copy the settings.

• Standard generation (most people) — 1920×1280 · 4 steps · 1 guidance · fixed seed. The right starting point for almost everyone.

• Want a square image — Change width and height to 1024×1024. The model supports multiple aspect ratios: 1:1, 2:3, 3:2, 3:4, 4:3, 16:9, 9:16.

• Want the most stable results — Set the image size to 1024×1024. The model is most reliable at 1K resolution.

• Want to compare variations — Change the seed to random. Each seed produces a different image from the same prompt.

• Want text in the image — Spell out the exact words in your prompt. Boogu Turbo renders English and Chinese text more accurately than most open-source models.

• The result looks off — Add more detail to the prompt. Describe lighting, camera angle, and style rather than relying on short phrases. Keep steps at 4 and guidance at 1. The model is tuned for these values, so raising them does not improve results.

Prompt: Be descriptive and specific. Include the subject, setting, lighting, and style. "Cinematic portrait of a woman in a red coat walking through Tokyo at night, neon reflections on wet pavement, shallow depth of field" is clearer than "woman in city." Detailed prompts produce the best results.

LEARN

📹 Videos

• Intro to Floyo

• ComfyUI 101 Free Course ft. Sebastian Kamph

• Floyo 101 for Team Collaboration

✨ Quick links

• Help docs

• LoRA Training guide

• Discover more workflows

USE CASES

📸 Photorealistic Imagery
Generate realistic photos from detailed descriptions. Strong at people, products, scenes, and environments without needing extra models or LoRAs.

🔤 Text-in-Image Generation
Create images with legible English or Chinese text baked in. Posters, signs, labels, and titles render accurately where most open-source models fail.

🎨 Concept Art and Mood Boards
Rapid visual exploration for creative projects. Describe a scene, get a result in seconds, and iterate by changing the seed or adjusting the prompt.

🛍️ Product and Marketing Visuals
Generate product shots, campaign imagery, or social media content from a text description. Pair with specific lighting and composition prompts for polished results.

WHAT WORKS BEST / WHAT TO AVOID

✅ Works great

• Detailed, descriptive prompts

• Photorealistic subjects and scenes

• Text rendering in English and Chinese

• Quick iteration with seed changes

⚠️ May produce softer results

• Short or vague prompts like "a cool photo"

• Specific real-world brands, celebrities, or landmarks

• Resolutions above 1K (results are most stable at 1024×1024)

• Raising steps or guidance above the defaults (the model is tuned for 4 steps and 1 guidance)

FAQ

What is Boogu-Image-0.1-Turbo?
Boogu-Image-0.1-Turbo is a distilled 10B parameter text-to-image model by the Boogu Team, released under the Apache-2.0 license. It generates images in 4 steps instead of the 25 or more steps that most diffusion models require. It focuses on photorealism and bilingual text rendering.

How is Boogu Turbo different from Boogu Base?
Boogu Turbo is a distilled version of Boogu Base, optimized for speed. It produces images in 3 to 4 steps at guidance 1, while Boogu Base runs at around 25 to 50 steps and is intended for scenarios like ultra-dense text rendering at 2K resolution. For photorealistic generation, the Boogu team recommends Turbo as the default.

Can Boogu Turbo render text inside images?
Yes. Accurate bilingual text rendering (English and Chinese) is one of its standout features. Spell out the exact text you want in your prompt, and the model will place it in the image. This sets it apart from many open-source alternatives that struggle with legible text.

How does Boogu Turbo compare to other open-source text-to-image models?
The Boogu team built their own Arena-style benchmark against open- and closed-source systems. Among Apache-2.0 licensed models, Boogu ranks at the top on their leaderboard. It trails closed-source systems like GPT-Image-2 and Nano Banana Pro, particularly for tasks requiring real-world knowledge of specific people, places, and brands.

Is Boogu-Image-0.1-Turbo free to use commercially?
Yes. Boogu-Image-0.1-Turbo is released under the Apache-2.0 license, which allows commercial use, modification, and redistribution. You own the outputs and can use them in client work, published content, and commercial products.

Why shouldn't I increase the steps or guidance?
Boogu Turbo is distilled to perform best at 4 steps and a guidance of 1. Raising these values does not add quality the way it does with non-distilled models. The distillation process baked the detail into fewer passes. Changing steps or guidance is more likely to degrade the output than improve it.

How to run Boogu Turbo online?
You can run Boogu Turbo online through Floyo. No installation, no setup, no API key to wire up. Open the workflow in your browser, type your prompt, and hit run. Free to try.

WHY FLOYO?

Floyo is the only platform with team collaboration for ComfyUI in the browser. You run workflows with no install. You share run history, assets, and models across your team. You pay only when you generate. Floyo supports open-source and closed-source models.

A designer generates an image and likes the result. A teammate opens that exact run from shared history and keeps going. No file handoffs. No version confusion.

For studios and enterprise teams, Floyo adds private workspaces, pooled resources, and a team usage dashboard. Other ComfyUI cloud tools run for one person at a time. Floyo runs for the whole team, with transparent per-generation costs.

Ready to try it?
Type a prompt and run it. The settings are already set.

→ Launch Workflow, Free

Questions? Watch the free course or check the FAQ above.