import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Yuuuna/RealisticSnapshotZImageTurbo")
prompt = "-"
image = pipe(prompt).images[0]Realistic Snapshot (Z-Image-Turbo)
- Prompt
- -
Model description
Recommended Strength: 0.60 - 0.70 (This version is potent; start lower and adjust up if needed). Trigger Words: While not strictly required, using these tags will force the model to activate specific textures and lighting styles: For the "Camera Roll" Look: amateur digital snapshot, candid, smartphone capture, high ISO noise, direct on-camera flash. For High-Fidelity Details: visible pores, visible vellus hair, subsurface scattering, detailed skin texture. For Optical Realism: wide-angle lens, barrel distortion, chromatic aberration, depth of field.
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