This is an edit of Jib Mix Realistic Z-image Lora workflow v2.0

(screenshots taken on comfyUI 9.4 desktop)

models:

• Ultra Flux 4k VAE {https://huggingface.co/Owen777/UltraFlux-v1/blob/main/vae/diffusion_pytorch_model.safetensors} [OR] ae.safetensors provided in ComfyUI's default template workflow - better when making image outputs below 4k resolution

• jibMixZIT_v10 [fp16] {https://civarchive.com/api/download/models/2511897?fileId=2399888}

• qwen_3_4b.safetensors can be downloaded from the base Z-Image-Turbo workflow in ComfyUI

• HI8 [@0.04] {https://civarchive.com/models/1134895/2000s-analog-core?modelVersionId=2456725}

• Olympus [@0.20] {https://civarchive.com/models/2212121/olympus-ultrareal?modelVersionId=2490572}

custom nodes:

please make sure you delete the example prompt before generating - custom node installation will require restarting ComfyUI multiple times! DEFAULT OUTPUT IS 1920x2160 (960x1080 internally upscaled 2x) YOU MUST HAVE 12GB VRAM or else it will appear stuck and take almost 10 minutes to generate 1 image [for example on an 8GB card]

more loras can be found here on civitai, remove all of the disabled loras in the stack if they give you errors. experiment with adding your own but make sure to keep the seed fixed while you adjust the individual strength weights one at a time - most loras excel at very low amounts (0.54-0.03)

depending on your hardware you will get very different results

links to required models:

Diffusion Model - https://civarchive.com/api/download/models/2511897?fileId=2399888

place in ComfyUI/models/diffusion_models

VAE - https://huggingface.co/Owen777/UltraFlux-v1/blob/main/vae/diffusion_pytorch_model.safetensors

place in ComfyUI/models/vae

LoRAs - HI8 https://civarchive.com/models/1134895/2000s-analog-core?modelVersionId=2456725

& Olympus https://civarchive.com/models/2212121/olympus-ultrareal?modelVersionId=2490572

place in ComfyUI/models/loras

these images are not upscaled, they're all generated by the workflow. 1 generation takes about 2 minutes with 12GB of VRAM

it's easy to crop off the bottom of the image where the generation goes wonky, plan ahead in choosing canvas size or use photoshop's outpainting after cropping for example.