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 StableDiffusionXLPipeline
import torch

pipeline = StableDiffusionXLPipeline.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.