Instructions to use RunDiffusion/Juggernaut-Z-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RunDiffusion/Juggernaut-Z-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-Z-Image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add fp16 safetensors variant
Browse files
Juggernaut_Z_V1_by_RunDiffusion_fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aab0c5252b5ad99c225e9bcece4a46fd80f855ff463ab7d3c9bb2ccacdd75af6
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size 12309865944
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