CIVITAI / Workflows

Z-Image ControlNet 2.1-2601 Text-to-Image Workflow

Description: Z-Image ControlNet 2.1-2601 Text-to-Image Workflow is a ComfyUI generation workflow designed for high-quality text-to-image creation with stronger structural control, cleaner detail rendering, and more stable prompt interpretation. It is built around Z-Image Turbo and the Z-Image Turbo Fun ControlNet Union 2.1-2601 model patch, giving creators a practical way to generate polished images from text prompts while still keeping additional control options available for pose, composition, and detail refinement. Unlike a simple text-to-image workflow that only relies on a prompt and a sampler, this workflow uses a more structured generation design. It combines Z-Image Turbo, the Qwen 3 4B text encoder, the Z-Image VAE, ControlNet Union guidance, DetailDaemon sampling, high-noise prompting, low-noise prompting, and optional preprocessor support. The goal is to make text-to-image generation more controllable, especially when the user needs a specific visual direction such as cinematic lighting, cyberpunk characters, anime illustration, fantasy armor, product-style rendering, poster design, or social media cover images. The workflow is suitable for creators who want to generate images directly from text, but still need more control than a basic one-click setup. You can describe a character, environment, product, vehicle, scene atmosphere, lighting style, camera angle, color palette, and visual mood through prompts. The workflow then uses the Z-Image Turbo generation pipeline to create the base image, while ControlNet-related modules and DetailDaemon sampling help improve structure, detail density, and final sharpness. One important design point of this workflow is the high-noise and low-noise prompt logic. The high-noise prompt is used to define the main subject, scene, composition, and creative direction. This is where you write the core idea of the image: who or what appears in the frame, what the subject is doing, what the background looks like, what style you want, and what kind of atmosphere the image should have. For example, you can describe a cyberpunk female rider on a neon motorcycle, a fantasy warrior in glowing armor, a product hero shot, a futuristic city, or an anime character in a dramatic scene. The low-noise prompt is used for refinement. It helps polish the final appearance, including texture, edge quality, lighting consistency, col