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ZImagePipeline
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import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("ostris/Z-Image-De-Turbo,Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("AlekseyCalvin/Z-Image-Deturbo-Returbo-Base_Diffusers")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Z-IMAGE TURBO (by Tongyi-MAI) DiT Model
DE-TURBO De-distillation (by Ostris)
RE-TURBO Re-acceleration Adapter (by GuangyuanSD) Merged-in
So... This is a Re-turboed Z-Image Turbo De-Turbo (de-distilled) base repo...
... in Diffusers Format
Re-turbo LoRA merged into the Deturbo Base using my SOONMerge® toolkit space.
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Tongyi-MAI/Z-Image-Turbo