nroggendorff/juggernautxl

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 StableDiffusionPipeline
import torch

pipeline = StableDiffusionPipeline.from_pretrained("nroggendorff/juggernautxl").to("cuda")

image = pipeline(prompt="a girl standing in the rain").images[0]
image.save("not.png")

Model Details

train_batch_size: 1
gradient_accumulation_steps: 4
learning_rate: 1e-2
lr_warmup_steps: 500
mixed_precision: "fp16"
eval_metric: "mean_squared_error"

Limitations

The model does not achieve perfect photorealism
The model cannot render legible text

Developed by

Noa Linden Roggendorff

This model card was written by Noa Roggendorff and is based on the Stable Diffusion v1-5 Model Card.