metadata
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
- lycoris
inference: true
widget:
- text: unconditional (blank prompt)
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_0_0.png
- text: brst_style painting of a hipster making a chair
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_1_0.png
- text: brst_style painting of a hamster
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_2_0.png
- text: >-
brst_style, A winding dirt road leads through a grassy area with rocks and
flowers. Two people rest beside the road, one horse nearby. Tall trees
frame the road, opening to a vast landscape with green fields, a lake, and
towering mountains in the background. A small village with a church is
visible by the lake.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_3_0.png
- text: >-
brst_style, A large waterfall cascades down a cliff. Trees surround the
scene with some positioned on top of the cliff and others at the base.
Rocks and a stream occupy the foreground. A mountain range appears in the
background.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_4_0.png
- text: >-
brst_style, A seated woman with long dark hair is depicted in a
front-facing view. She is wearing a dress with a white collar and appears
to be in her thirties. Her hands are on her lap. Green leaves and flowers
surround her.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_5_0.png
- text: >-
brst_style, Two mountain robots stand on rocky outcrops. with skyscrapers
scattered across the land. One robot is on a higher rock, looking slightly
left, while the other is on a lower rock, facing right. Snow-capped
mountains and green valleys stretch into the distance.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_6_0.png
- text: >-
brst_style, A panoramic view of Yosemite Valley with El Capitan and Half
Dome visible. Lush forests in the foreground, a winding river, and
dramatic clouds in the sky.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_7_0.png
- text: >-
brst_style, A futuristic space station orbiting Earth, with the planet's
curvature and some continents visible. The space station has solar panels
and docking bays.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_8_0.png
- text: >-
brst_style, A busy urban street with tall buildings, cars, and
pedestrians. A mix of modern and classical architecture, with trees lining
the sidewalks.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_9_0.png
- text: >-
brst_style, A small oasis in a vast desert landscape. Palm trees surround
a small pool of water, with sand dunes stretching to the horizon. A camel
caravan approaches in the distance.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_10_0.png
- text: >-
brst_style, An underwater coral reef teeming with colorful fish, sea
turtles, and various marine life. Sunlight filters through the water's
surface.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_11_0.png
- text: >-
brst_style, Albert Bierstadt taking a selfie with a smartphone in front of
one of his landscape paintings. He's wearing his 19th-century attire but
holding a modern device.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_12_0.png
- text: >-
brst_style, A nighttime cityscape with skyscrapers illuminated against a
starry sky. The moon is large and prominent, casting a glow over the urban
landscape.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_13_0.png
- text: brst_style, hamster
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_14_0.png
albert-bierstadt-sdxl-lokr
This is a LyCORIS adapter derived from stabilityai/stable-diffusion-xl-base-1.0.
The main validation prompt used during training was:
brst_style, 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:
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 28
- Training steps: 10000
- Learning rate: 0.0001
- Effective batch size: 16
- Micro-batch size: 8
- Gradient accumulation steps: 1
- Number of GPUs: 2
- Prediction type: epsilon
- Rescaled betas zero SNR: False
- Optimizer: adamw_bf16
- Precision: Pure BF16
- Quantised: No
- Xformers: Not used
- LyCORIS Config:
{
"algo": "lokr",
"multiplier": 1.0,
"linear_dim": 10000,
"linear_alpha": 1,
"factor": 16,
"apply_preset": {
"target_module": [
"Attention",
"FeedForward"
],
"module_algo_map": {
"Attention": {
"factor": 16
},
"FeedForward": {
"factor": 8
}
}
}
}
Datasets
albert-bierstadt-sdxl-512
- Repeats: 10
- Total number of images: ~82
- Total number of aspect buckets: 6
- Resolution: 0.262144 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
albert-bierstadt-sdxl-1024
- Repeats: 10
- Total number of images: ~84
- Total number of aspect buckets: 12
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
albert-bierstadt-sdxl-512-crop
- Repeats: 10
- Total number of images: ~78
- Total number of aspect buckets: 1
- Resolution: 0.262144 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: square
albert-bierstadt-sdxl-1024-crop
- Repeats: 10
- Total number of images: ~78
- 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
from lycoris import create_lycoris_from_weights
model_id = 'stabilityai/stable-diffusion-xl-base-1.0'
adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
lora_scale = 1.0
wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
wrapper.merge_to()
prompt = "brst_style, 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")