Text-to-Image
Diffusers
Safetensors
English
ZImagePipeline
z-image
juggernaut
openvino-export-candidate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Aminfri/juggernaut-z-fast-diffusers", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Juggernaut Z Fast Diffusers Assembly
This repo is an assembled diffusers-style model intended for OpenVINO export.
It combines:
- Pipeline/config/text-encoder/tokenizer/VAE files copied from
RunDiffusion/Juggernaut-Z-Image - Fast transformer weights copied from
RunDiffusion/Juggernaut-Z-Image-Fast/Juggernaut_Z_V1_Fast_FP16.safetensors
The Fast weight is placed at:
transformer/diffusion_pytorch_model.safetensors
Destination repo: Aminfri/juggernaut-z-fast-diffusers
RunDiffusion's Fast model is CC BY-NC 4.0. Confirm licensing before commercial use.
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Base model
Tongyi-MAI/Z-Image