Z-Image_clear_photoreal

• Guide (External Site): English | Japanese

• Hugging Face

• Z-Image-Turbo_clear

• Z-Image_clear_vae

Compare to Z-Image-Turbo_clear (distilled)

Z-Image_clear_photoreal | Z-Image-Turbo_clear (distilled)

Z-Image_clear_photoreal is a merged model of Z-Image-Turbo_clear and Z-Image (Base).

It maintains the high speed and stability of Z-Image-Turbo_clear while significantly improving image quality and diversity.

Image diversity

Z-Image_clear_photoreal

Z-Image_clear_photoreal produces rich variation in faces and compositions.

Z-Image-Turbo_clear (distilled)

Z-Image-Turbo_clear (distilled) tends to generate very similar-looking images with little diversity.

Model Format and Quality

Generally, model size and image quality are proportional.

• FP32 > FP16 ≒ BF16 > MXFP8 > FP8_svd_scaled > FP8

Generation time varies greatly depending on whether the model can be loaded into VRAM, and the supported formats are determined by the GPU generation.

MXFP8 is the latest standard designed for the RTX 5000 series. On unsupported GPUs, however, fallback mechanisms will actually slow down processing, so their use is not highly recommended.

For a comparison of image quality and generation time by format, please see this page.

If you are unsure which precision to use, it is safest to choose the BF16 format.

VAE

For the Z-Image_clear_photoreal model, we recommend using Z-Image_clear_vae.

• Z-Image_natural_vae: lower saturation, more natural look

• Z-Image_clear_vae: higher saturation, vivid and vibrant look

We provide several color-style variations, so feel free to choose the one that matches your preference.

Workflow

The PNG workflow can be downloaded from Hugging Face.

Recommended Settings

General

• Sampler: euler

• Scheduler: beta

• Steps: 12 (6-18)

• ModelSamplingAuraFlow: shift 6 (3-9)

• CFG scale: 1

Note: Negative Prompts have no effect.

Upscaler

your choice, examples:

• 4x-SwinIR-L_GAN

• 4x_NMKD-Superscale-SP_178000_G

Tips (External Sites)

• Z-Image-Turbo_clear: English | Japanese

• FP / BF Format Image Quality and Generation Time: English | Japanese

• ComfyUI Color Correction Nodes: English | Japanese

• FP precision: English | Japanese

License

• Apache-2.0