Z-Image Turbo for Image-to-Image | comfyui | ubuntu 24-04-02 скачать в хорошем качестве

Z-Image Turbo for Image-to-Image | comfyui | ubuntu 24-04-02

Z-Image Turbo for Image-to-Image (Img2Img) tasks in ComfyUI, just like with other diffusion models, but there are a couple of key setup points you need to remember. The standard Img2Img workflow is built around the concept of Denoise, and Z-Image Turbo's speed makes it perfect for fast iteration. 🖼️ Z-Image Turbo Image-to-Image Workflow The process involves converting your input image into the model's "latent" space, and then running the sampling process for a limited number of steps, controlled by the Denoise value. 1. The Core Nodes You will need the following nodes connected in your ComfyUI workflow: Node Purpose Connection Load Image Imports your starting image (the one you want to modify). Output to ImageScale or VAE Encode VAE Encode Converts your starting image from RGB pixels into the compressed latent format the diffusion model understands. Image input from Load Image, VAE input from VAELoader KSampler This is the core generation step. The key setting is here. Latent input from VAE Encode VAE Decode Converts the final latent image back into a viewable RGB image. Latent input from KSampler, VAE input from VAELoader 2. The Critical Setting: Denoise The magic of Img2Img happens in the KSampler node using the denoise slider. Denoise = 1.0 (Text-to-Image): This adds maximum noise (100%), effectively ignoring your input image and generating a brand new image based only on the text prompt. Denoise = 0.0: This adds no noise, resulting in an output image that is exactly the same as your input image. Denoise (e.g., 0.3 to 0.7): This is the sweet spot for Img2Img. Lower Denoise (e.g., 0.3): The model will mostly preserve the original image's structure, colors, and layout while applying the text prompt as a subtle style change or minor refinement. Higher Denoise (e.g., 0.7): The model will have more freedom to change the composition and major elements, resulting in a significantly transformed image based heavily on your prompt, but still anchored to the original. Workflow : https://drive.google.com/file/d/15oXX... Website : https://blog.comfy.org/p/z-image-turb... System OS : Ubuntu 24_04_02 Graphic Card : Asus ProArt GeForce RTX 4060 Ti OC edition 16GB RAM : 48GB