Z-Image_clear_photoreal
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 Formats and Image Quality
Generally, the image quality ranks in the following order:
FP32 > FP16 ≒ BF16 > INT8_ConvRot_HQ > MXFP8 > FP8_svd_scaled > FP8
FP32 is mainly recommended for training purposes.
FP16 / BF16 can generate high-quality illustrations.
INT8_ConvRot_HQ offers an excellent balance of speed and quality while using roughly half the VRAM of FP16 / BF16.
MXFP8, FP8_svd_scaled, and FP8 are currently not recommended, as they are inferior to INT8_ConvRot_HQ in both speed and image quality.
For a detailed comparison of each format, please refer to this page.
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: