How to use AlekseyCalvin/Perestroika_ZiT_v2_LoRA_bySAP with Diffusers:
pip install -U diffusers transformers accelerate
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("AlekseyCalvin/Perestroika_ZiT_v2_LoRA_bySAP") prompt = "-" image = pipe(prompt).images[0]
Trained on a large self-curated set of varied photos and film stills from the late 1980s USSR. A lower-rank training than Variant 1 for ZiT.
You should use GLASNOST photo of
GLASNOST photo of
Base model
