Instructions to use glides/juggernautxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glides/juggernautxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("glides/juggernautxl", 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
metadata
library_name: diffusers
license: mit
Juggernaut Diffusion XL Model Card
Juggernaut Diffusion XL is a latent text-to-image diffusion model capable of generating images of people, mainly, and other things. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion blog.
You can use this with the 🧨Diffusers library from Hugging Face.
Diffusers
from diffusers import StableDiffusionXLPipeline
import torch
pipeline = StableDiffusionXLPipeline.from_pretrained("glides/juggernautxl").to("cuda")
image = pipeline(prompt="a girl standing in the rain").images[0]
image.save("not.png")
Limitations
- The model does not achieve perfect photorealism
- The model cannot render legible text
Developed by
- KandooAI
This model card was written by Noa Roggendorff and is based on the Stable Diffusion v1-5 Model Card.
