Have a ComfyUI workflow? Get a readable Workflow Doc in your browser.Make a workflow readable.Try it now ↗
A workflow for Z-Image-Turbo focused on high-quality image styles and ease of use.
Runtime profile
Source description
A workflow for Z-Image-Turbo focused on high-quality image styles and ease of use.
Style Selector: Choose from eighteen customizable image styles.
Refiner: Improves final quality by performing a second pass.
Upscaler: Increases the resolution of any generated image by 50%.
Speed Options:
7 Steps Switch: Uses fewer steps while maintaining the quality.
Smaller Image Switch: Generates images at a lower resolution.
Extra Options:
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
Amazing Z-Comics Workflow — v4.0 is for generating images from a prompt with Z-Image-Turbo; it offers 18 customizable styles and generation controls, and produces an image that can be refined in a second pass or upscaled by 50%.
The package includes preconfigured amazing-z-comics_GGUF and amazing-z-comics_SAFETENSORS files, plus the Power Lora Loader node for loading multiple LoRAs.
It includes 7 Steps Switch, Smaller Image Switch, Sampler Switch, Landscape Switch, and Spicy Impact Booster.
Input: a prompt, selected style, and settings for steps, image size, sampler, orientation, and prompt impact. Output: a generated image.
A generated image can be refined with a second pass or sent through the Upscaler for a 50% resolution increase.
For GPUs with 12GB or less, the listed recommendation is amazing-z-comics_GGUF; amazing-z-comics_SAFETENSORS is based directly on the ComfyUI example.
For Version 3.x, also provide 4x_Nickelback_70000G.safetensors (66.9 MB) in ComfyUI/models/upscale_models/.
The GGUF variant lists z_image_turbo-Q5_K_S.gguf (5.19 GB) in ComfyUI/models/diffusion_models/, Qwen3-4B.i1-Q5_K_S.gguf (2.82 GB) in ComfyUI/models/text_encoders/, ae.safetensors (335 MB) in ComfyUI/models/vae/, and 4x_foolhardy_Remacri.safetensors (66.9 MB) in ComfyUI/models/up
The SAFETENSORS variant lists z_image_turbo_bf16.safetensors (12.3 GB) in ComfyUI/models/diffusion_models/, qwen_3_4b.safetensors (8.04 GB) in ComfyUI/models/text_encoders/, ae.safetensors (335 MB) in ComfyUI/models/vae/, and 4x_foolhardy_Remacri.safetensors (66.9 MB) in ComfyUI
The named custom nodes are ComfyUI-GGUF and rgthree-comfy; their listed versions are 1.1.8 and 1.0.2511270846, respectively.
Choose from the 18 styles, then use Refiner for a second pass or Upscaler for a 50% resolution increase.
Suggestion · not verified
Use 7 Steps Switch for fewer steps, Smaller Image Switch for lower-resolution generation, Sampler Switch for an alternative sampler, Landscape Switch for horizontal images, and Spicy Impact Booster for a subtle prompt addition.
Suggestion · not verified
Choosing between GGUF and SAFETENSORS depends on your ComfyUI version, PyTorch setup, CUDA configuration, GPU model, and available VRAM and RAM; check these factors first.
Suggestion · not verified
Before use, verify that the checkpoint files for your selected format are in the listed ComfyUI locations and that both named custom nodes are installed.
Suggestion · not verified
Does this need to be edited?
Sign in to send an edit request.
Sources
1 sourceSource excerpts
1 excerptSource context: 2715 downloads · Type Workflows · Base model ZImageTurbo
Sampler Switch: Easily test generation with an alternative sampler.
Landscape Switch: Change to horizontal image generation with a single click.
Spicy Impact Booster: Adds a subtle spicy condiment to the prompt.
Preconfigured workflows for each checkpoint format (GGUF / SAFETENSORS).
Includes the "Power Lora Loader" node for loading multiple LoRAs.
Workflow Overview
The zip contains two workflow files:
amazing-z-comics_GGUF : Recommended for GPUs with 12GB or less.
amazing-z-comics_SAFETENSORS : Based directly on the ComfyUI example.
When using ComfyUI, you may encounter debates about the best checkpoint format. From my experience, GGUF quantized models provide a better balance between size and prompt response quality compared to SafeTensors versions. However, it's worth noting that ComfyUI includes optimizations that work more efficiently with SafeTensors files, which might make them preferable for some users despite their larger size. The optimal choice depends on factors like your ComfyUI version, PyTorch setup, CUDA configuration, GPU model, and available VRAM and RAM. To help you find the best fit for your system, I've included links to various checkpoint versions below.
Required Checkpoints Files
For "amazing-z-comics_GGUF"
z_image_turbo-Q5_K_S.gguf [5.19 GB] local directory: ComfyUI/models/diffusion_models/
Qwen3-4B.i1-Q5_K_S.gguf [2.82 GB] local directory: ComfyUI/models/text_encoders/
ae.safetensors [335 MB] local directory: ComfyUI/models/vae/
4x_foolhardy_Remacri.safetensors (for illustration refining) [66.9 MB] local directory: ComfyUI/models/upscale_models/
For "amazing-z-comics_SAFETENSORS"
Based directly on the official ComfyUI example,
z_image_turbo_bf16.safetensors [12.3 GB] local directory: ComfyUI/models/diffusion_models/
qwen_3_4b.safetensors [8.04 GB] local directory: ComfyUI/models/text_encoders/
ae.safetensors [335 MB] l ocal directory: ComfyUI/models/vae/
4x_foolhardy_Remacri.safetensors (for illustration refining) [66.9 MB] local directory: ComfyUI/models/upscale_models/
For Version 3.x
If, for some reason, you need to use the older version 3.x, you will also require the following additional file:
4x_Nickelback_70000G.safetensors [66.9 MB] Local Directory: ComfyUI/models/upscale_models/
Required Custom Nodes
The workflows require the following custom nodes: (which can be installed via ComfyUI-Manager or downloaded from their repositories)
rgthree-comfy : https://github.com/rgthree/rgthree-comfy
ComfyUI-GGUF : https://github.com/city96/ComfyUI-GGUF
License
This project is licensed under the Unlicense license.
More info:
Estimated VRAM requirement
Estimate unavailable
320 MB across 1 of 4 model files. Model file total + 25% loading overhead + 2 GB execution buffer, rounded up.
Requirements
6 requirements4x_foolhardy_Remacri.safetensors
Not resolvedUpscaler · Unknown
ae.safetensors
FoundVAE · 320 MB · SAFETENSORS · Unknown
Qwen3-4B.i1-Q5_K_S.gguf
Not resolvedText encoder · Unknown
z_image_turbo-Q5_K_S.gguf
Not resolvedCheckpoint · Unknown
comfyui-gguf
PossibleNode pack · Registry
Node pack · Registry
