Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
sdxl
sdxl-lightning
photorealistic
fast
low-step
juggernaut
rundiffusion
kandooai
Instructions to use RunDiffusion/Juggernaut-XL-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RunDiffusion/Juggernaut-XL-Lightning 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-XL-Lightning", 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
- Xet hash:
- 2750afe4dc6f2aeae459fc7e310d3178f86e8e14ee2f8c14476937489fc5e21f
- Size of remote file:
- 7.11 GB
- SHA256:
- c8df560d2992ac04299412be6a36fa53a4e7a1b74f27b94867ad3f84f4b425a5
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