Z-Image Power Nodes is a collection of nodes designed specifically for the <a target="_blank" rel="ugc" href="https://civarchive.com/models/2168935/z-image-turbo">Z-Image / Z-Image Turbo model</a>. They are based on some ideas and discoveries I made while developing the <a target="_blank" rel="ugc" href="https://civarchive.com/models/2181458/amazing-z-image-workflow">Amazing Z-Image Workflow</a>.This page includes example workflows that utilize these nodes. The nodes can be installed via ComfyUI-Manager or manually from the GitHub repository. For more information, please visit:<ul><li><a target="_blank" rel="ugc" href="https://github.com/martin-rizzo/ComfyUI-ZImagePowerNodes">https://github.com/martin-rizzo/ComfyUI-ZImagePowerNodes</a></li></ul><h3 id="these-are-the-nodes-currently-included-in-the-project:">These are the nodes currently included in the project:</h3><ul><li><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/zsampler_turbo_2">⚡</a><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/zsampler_turbo_2">Z-Sampler Turbo ^G2</a> A specialized sampler designed for Z-Image Turbo that achieves sufficient quality to eliminate the need for further post-processing.</li><li><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/style_prompt_encoder">⚡Style Prompt Encoder</a> Applies a selected visual styles to your prompt and encodes both of them using a text-encoder model (clip).</li><li><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/style_string_injector">⚡</a><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/style_string_injector">Style String Injector</a> Seamlessly integrates a chosen style into your prompt text. It accepts a string as input and modifies it based on the selected style.</li><li><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/my_top_10_styles">⚡</a><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/my_top_10_styles">My Top-10 Styles</a> Allows you to create a list of favorite styles for quick selection of your most used ones.</li><li><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/vae_encode_for_soft_inpainting">⚡</a><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/vae_encode_for_soft_inpainting">VAE Encode (for Soft Inpainting)</a> Encodes images into a latent representation, embedding the mask that indicates where inpainting will be applied.</li><li><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/save_image">⚡</a><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/save_image">Save Image</a> Saves generated images with the option to embed CivitAI-compatible metadata, making it easy to share generation parameters through that platform.</li><li><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/empty_zimage_latent_image">⚡</a><a target="_blank" rel="ugc" href="https://martin-rizzo.github.io/ComfyUI-ZImagePowerNodes/#/empty_zimage_latent_image">Empty Z-Image Latent Image</a> Creates an empty latent image of the appropriate size for Z-Image, selecting aspect ratio, scale, and orientation.</li></ul>

Z-Image Power Nodes

This release introduces the second generation of "Z-Sampler Turbo", with the internal code completely rewritten from scratch. It follows the same core principle as the first generation (3 stages with their respective sigma sets) but adds new functionality and, more importantly, better parameterization of the internal sampling process.Thanks to this rewrite, I've been able to implement the following controls: * Intensity: adjusts how intense or "washed out" the details in the final image appear. * Intensity Bias: allows you to adjust the "brightness" and details produced by extreme intensity values. * Turbo Creativity: aims to bring more compositional variety to the image without altering its style or color tone.

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