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README.md

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+---
+license: creativeml-openrail-m
+base_model: "stabilityai/stable-diffusion-xl-base-1.0"
+tags:
+  - sdxl
+  - sdxl-diffusers
+  - text-to-image
+  - diffusers
+  - simpletuner
+  - safe-for-work
+  - lora
+  - template:sd-lora
+  - standard
+inference: true
+widget:
+- text: 'unconditional (blank prompt)'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_0_0.png
+- text: 'hshge, Mount Fuji viewed from a distance, with cherry blossoms in the foreground. A small village nestles at the base of the mountain.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_1_0.png
+- text: 'hshge, Hamster'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_2_0.png
+- text: 'hshge, A scene from the Tokaido road, with travelers crossing a wooden bridge. A misty mountain landscape in the background.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_3_0.png
+- text: 'hshge, A busy fish market in Edo. Vendors display their catch while customers browse. Boats visible in the nearby harbor.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_4_0.png
+- text: 'hshge, People caught in a sudden rainstorm on a city street, rushing for cover with umbrellas. A large bridge spans the background.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_5_0.png
+- text: 'hshge, A serene temple complex under a full moon. Lanterns illuminate the path, with silhouettes of pine trees against the night sky.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_6_0.png
+- text: '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.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_7_0.png
+- text: 'hshge, The modern Tokyo Skytree towering over traditional low-rise buildings. Cherry blossoms frame the view.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_8_0.png
+- text: 'hshge, A sleek bullet train speeding past Mount Fuji. Rice fields and a small town visible in the middle ground.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_9_0.png
+- text: 'hshge, The bustling Times Square in New York, with bright billboards and crowds of people. A view reminiscent of Hiroshige''s busy street scenes.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_10_0.png
+- text: 'hshge, A futuristic Mars colony with dome habitats and space vehicles. The red Martian landscape stretches to the horizon.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_11_0.png
+- text: 'hshge, An imaginary underwater city with Japanese-style architecture. Fish and sea creatures swim among the buildings.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_12_0.png
+- text: 'hshge, People wearing VR headsets in a modern cafe. Traditional Japanese elements mix with futuristic technology in the decor.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_13_0.png
+- text: 'hshge, hamster'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_14_0.png
+---
+
+# Hiroshige-SDXL-LoRA
+
+This is a standard PEFT LoRA derived from [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/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](#training-settings).
+
+You can find some example images in the following gallery:
+
+
+<Gallery />
+
+The text encoder **was not** trained.
+You may reuse the base model text encoder for inference.
+
+
+## Training settings
+
+- Training epochs: 0
+- Training steps: 200
+- 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: 6
+- 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: 6
+- 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
+
+
+```python
+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")
+```
+