Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
sdxl
hyper-sd
photorealistic
fast
low-step
juggernaut
rundiffusion
kandooai
Instructions to use RunDiffusion/Juggernaut-X-Hyper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RunDiffusion/Juggernaut-X-Hyper 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-X-Hyper", 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
- Xet hash:
- d9fde25795440cc9c1497c0ad176a0dcd2b1ed91a60aa40d8a9ec660cfbbd694
- Size of remote file:
- 10.3 GB
- SHA256:
- 3c8d435662c1cce7759aa7344cf5a33bc858bd4f7f7f62898fc9cfeca910ab9e
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