CivArchive
    ComfyUI beginner friendly Z-Image Base (or Z-Image Turbo) ALL-in-One Txt2Img with LORAs Workflow by Sarcastic TOFU - Z-Image_AIO_Txt2Img_v1.0
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    This is a very simple ComfyUI beginner friendly Text-to-Image workflow that will work with Z-Image Base (or Z-Image Turbo) ALL-in-One model that has both Text Encoder & VAE baked into just a single file (I used FP8 models on this but if you have 12 or 16GB VRAM you can try the BF16 or FP16 models available from same source). These models aren't GGUF models or individual regular unquantized models for which you have to match & manage multiple files (if you have very low garde 6GB or 4GB VRAM GPU you can see my Z-Image GGUF workflows, these ALL-in-One models will not work on anything less than 8GB VRAM). Also for this workflow I have included my recent Easy Prompt Saver tweak so unlike my previous Z-Image workflows this one helps you to save your Text to Image Generation Data into a human readable .txt file. Also, if you want, with the Image Saver Simple node used on this you may embed the metadata with workflow itself or save the workflow for your work seperately.

    The newly released Z-Image Base model, developed by Tongyi-MAI (Alibaba's AI lab), is the non-distilled foundation of the Z-Image family, designed to serve as the "raw" starting point for the open-source community. Unlike Z-Image Turbo, which is a distilled version optimized for ultra-fast performance and sub-second inference using as few as 8 steps, the Base model is a full-weight checkpoint that requires more steps (typically 28 to 50) but offers significantly higher diversity in poses, compositions, and artistic styles. While Z-Image Turbo is specifically tuned for immediate photorealism and consumer-grade GPU efficiency, Z-Image Base is built for researchers and creators who need a more flexible model for fine-tuning, training LoRAs, or achieving complex prompt adherence that the faster, more "opinionated" Turbo variant might miss. Compared to other specialized versions like Z-Image Edit, which is fine-tuned specifically for instruction-based image-to-image tasks, the Base model provides the most neutral and unrefined data distribution, making it the superior choice for those looking to push the 6-billion parameter S3-DiT architecture into new, creative territories beyond just speed.

    You can download your necessary Z-Image ALL-in-One model and LORA(s) used on this workflow from CivitAI (Details are mentioned below). Make sure you have latest enough ComfyUI installation and install any necessary nodes for this workflow using ComfyUI manager and place the correct files (AIO model, LORAs etc) in correct places. Also check out my other workflows, LORAs, toolsets, datasets for SD 1.5 + SDXL 1.0, Illustrious, WAN 2.1, WAN 2.2, MagicWAN Image v2, QWEN, HunyuanImage-2.1, HiDream, KREA, Chroma, AuraFlow, Z-Image Base & Turbo, Flux.2 Klein and Flux.1 . Feel free to toss some yellow Buzz on stuffs you like.

    How to use this -

    #1. Just select your desired Z-Image Base (or Z-Image Turbo) ALL-in-One model file first and now

    #2. set your desired image dimensions to start

    #3. then input your positive and negative prompts.

    #4. select how many images you want (Change the number besides the "Run" button)

    #5. select image sampling methods, CFG, steps etc. settings

    #6. finally press the run button to generate. That's it..

    ** LORA usage for this workflow is optional you can use it without any LORAs, use with 1 or 2 or any other number of LORAs, to add new LORAs press the L button on top to lunch LORA Manager on a new tab find your LORA and if you want to use that LORA just click the upward Kite button. Just a fair warning for LORA usage for Z-Image AIO models - if you do use LORA(s) make sure that your each selected LORA is supported on the All-in-One Z-Image model (Base or Turbo) you have choosen. Normally Z-Image Turbo LORAs don't work with Z-Image Base Model, similarly Z-Image Base LORAs don't work for Z-Image Turbo Model. Only a few LORAs work on both Z-Image Base & Z-Image Turbo Models. The LORA(s) I used on the example images support both Z-Image Base & Z-Image Turbo but that may not be the case for anything else you may find on CivitAI or elsewhere.

    Required Files

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    ### Download Link for Z-Image Base ALL-in-One Model (FP8) -

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    https://civarchive.com/models/2173571?modelVersionId=2637423

    ### Download Link for Z-Image Turbo ALL-in-One Model (FP8)-

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    https://civarchive.com/models/2173571?modelVersionId=2448013

    ### Download Link for Jibify Z-image Base -Skin/Realism Detailer LORA -

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    https://civarchive.com/models/2346302/jibify-z-image-base-skinrealism-detailer

    ### Download Link for Amateur Nude Selfies LORA (Only for Last two images)-

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    https://civarchive.com/models/2271699?modelVersionId=2639244

    Description

    FAQ

    Workflows
    ZImageBase

    Details

    Downloads
    282
    Platform
    CivitAI
    Platform Status
    Available
    Created
    2/7/2026
    Updated
    4/27/2026
    Deleted
    -

    Files

    comfyuiBeginnerFriendlyZImageBase_zImageAIOTxt2imgV10.zip

    comfyuiBeginnerFriendlyZImageBase_zImageAIOTxt2imgV10.zip