Hiroshige-SDXL-LoRA

This is a standard PEFT LoRA derived from stabilityai/stable-diffusion-xl-base-1.0.

The main validation prompt used during training was:

hshge, hamster

Validation settings

• CFG: 4.2
• CFG Rescale: 0.0
• Steps: 20
• Sampler: None
• Seed: 42
• Resolution: 1024x1024

Note: The validation settings are not necessarily the same as the training settings.

You can find some example images in the following gallery:

Prompt

unconditional (blank prompt)

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, Mount Fuji viewed from a distance, with cherry blossoms in the foreground. A small village nestles at the base of the mountain.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, Hamster

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, A scene from the Tokaido road, with travelers crossing a wooden bridge. A misty mountain landscape in the background.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, A busy fish market in Edo. Vendors display their catch while customers browse. Boats visible in the nearby harbor.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, People caught in a sudden rainstorm on a city street, rushing for cover with umbrellas. A large bridge spans the background.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, A serene temple complex under a full moon. Lanterns illuminate the path, with silhouettes of pine trees against the night sky.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, A traditional Japanese garden in winter. Snow-covered trees and a small bridge over a frozen pond. A figure in a kimono walks along a path.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, The modern Tokyo Skytree towering over traditional low-rise buildings. Cherry blossoms frame the view.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, A sleek bullet train speeding past Mount Fuji. Rice fields and a small town visible in the middle ground.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, The bustling Times Square in New York, with bright billboards and crowds of people. A view reminiscent of Hiroshige's busy street scenes.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, A futuristic Mars colony with dome habitats and space vehicles. The red Martian landscape stretches to the horizon.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, An imaginary underwater city with Japanese-style architecture. Fish and sea creatures swim among the buildings.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, People wearing VR headsets in a modern cafe. Traditional Japanese elements mix with futuristic technology in the decor.

Negative Prompt

blurry, cropped, ugly

Prompt

hshge, hamster

Negative Prompt

blurry, cropped, ugly

The text encoder was not trained. You may reuse the base model text encoder for inference.

Training settings

• Training epochs: 7
• Training steps: 10000
• Learning rate: 8e-05
• Effective batch size: 8
  • Micro-batch size: 8
  • Gradient accumulation steps: 1
  • Number of GPUs: 1
• Prediction type: epsilon
• Rescaled betas zero SNR: False
• Optimizer: adamw_bf16
• Precision: Pure BF16
• Quantised: Yes: int8-quanto
• Xformers: Not used
• LoRA Rank: 64
• LoRA Alpha: None
• LoRA Dropout: 0.1
• LoRA initialisation style: default

Datasets

hiroshige-sdxl-512

• Repeats: 10
• Total number of images: 219
• Total number of aspect buckets: 10
• Resolution: 0.262144 megapixels
• Cropped: False
• Crop style: None
• Crop aspect: None

hiroshige-sdxl-1024

• Repeats: 10
• Total number of images: 219
• Total number of aspect buckets: 16
• Resolution: 1.048576 megapixels
• Cropped: False
• Crop style: None
• Crop aspect: None

hiroshige-sdxl-512-crop

• Repeats: 10
• Total number of images: 219
• Total number of aspect buckets: 1
• Resolution: 0.262144 megapixels
• Cropped: True
• Crop style: random
• Crop aspect: square

hiroshige-sdxl-1024-crop

• Repeats: 10
• Total number of images: 219
• Total number of aspect buckets: 1
• Resolution: 1.048576 megapixels
• Cropped: True
• Crop style: random
• Crop aspect: square

Inference

import torch
from diffusers import DiffusionPipeline

model_id = 'stabilityai/stable-diffusion-xl-base-1.0'
adapter_id = 'davidrd123/Hiroshige-SDXL-LoRA'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)

prompt = "hshge, hamster"
negative_prompt = 'blurry, cropped, ugly'
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
    prompt=prompt,
    negative_prompt=negative_prompt,
    num_inference_steps=20,
    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
    width=1024,
    height=1024,
    guidance_scale=4.2,
    guidance_rescale=0.0,
).images[0]
image.save("output.png", format="PNG")