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 Settings
- Draw Things
- DiffusionBee
Download Juggernaut_Z_V1_by_RunDiffusion_q5_k_m-003.gguf from RunDiffusion/Juggernaut-Z-Image: direct link, hf CLI and curl.
- Browser
- Download file 5.68 GB
-
https://huggingface.co/RunDiffusion/Juggernaut-Z-Image/resolve/main/Juggernaut_Z_V1_by_RunDiffusion_q5_k_m-003.gguf
- Command line
-
hf download hf://RunDiffusion/Juggernaut-Z-Image/Juggernaut_Z_V1_by_RunDiffusion_q5_k_m-003.gguf
-
curl -L -o Juggernaut_Z_V1_by_RunDiffusion_q5_k_m-003.gguf https://huggingface.co/RunDiffusion/Juggernaut-Z-Image/resolve/main/Juggernaut_Z_V1_by_RunDiffusion_q5_k_m-003.gguf
5.68 GB
- Xet hash:
- 94b08a97272afdfcb568764501f339069ce9908c88f2a62abbd6d3e8987152d6
- Size of remote file:
- 5.68 GB
- SHA256:
- f6a7673ff91e34da8c3d5969c630c0ae48db5dba0b48adb24198c7ab34067304
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