I trained this model with a Custom diffuser library with a dataset of over 5000 images. I thought it wasn't good enough for my needs, but due to budget constraints, I've paused development for a while. This model is NSFW-compatible and has revealed some things that were still unclear on the base model.
import torch
from diffusers import ZImagePipeline
pipe = ZImagePipeline.from_pretrained(
"kpsss34/Zitster",
torch_dtype=torch.bfloat16,
low_cpu_mem_usage=False,
)
pipe.to("cuda")
# pipe.enable_model_cpu_offload()
prompt = "a naked woman ..."
image = pipe(
prompt=prompt,
height=1024,
width=1024,
num_inference_steps=9,
guidance_scale=0.0,
generator=torch.Generator("cuda").manual_seed(42),
).images[0]
image.save("example.png")
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Model tree for kpsss34/Zitster
Base model
Tongyi-MAI/Z-Image-Turbo