metadata
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- sdxl
- sdxl-diffusers
- text-to-image
- diffusers
- simpletuner
- not-for-all-audiences
- 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: ggn_style painting of a hipster making a chair
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_1_0.png
- text: ggn_style painting of a hamster
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_2_0.png
- text: >-
in the style of ggn_style, A painting of a woman stands near the water
holding an object. Another woman swims in the water. A tree with twisted
branches is at the foreground left. Flowers and vegetation are near the
lower center. Hills with vegetation are in the background. Text 'Parau na
te Varua ino' at the bottom left and artist's signature at the lower
right.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_3_0.png
- text: >-
ggn_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_4_0.png
- text: >-
ggm_style, tropical fruits and flowers, bold outlines, non-naturalistic
colors, decorative composition
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_5_0.png
- text: >-
DaVinciXL, One mechanical device with gears and levers, no human subjects,
one item in the image.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_6_0.png
davinci-sdxl-lora-05
This is a LyCORIS adapter derived from stabilityai/stable-diffusion-xl-base-1.0.
The main validation prompt used during training was:
DaVinciXL, One mechanical device with gears and levers, no human subjects, one item in the image.
Validation settings
- CFG:
4.2 - CFG Rescale:
0.0 - Steps:
30 - 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
- ggn_style painting of a hipster making a chair
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- ggn_style painting of a hamster
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- in the style of ggn_style, A painting of a woman stands near the water holding an object. Another woman swims in the water. A tree with twisted branches is at the foreground left. Flowers and vegetation are near the lower center. Hills with vegetation are in the background. Text 'Parau na te Varua ino' at the bottom left and artist's signature at the lower right.
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- ggn_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.
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- ggm_style, tropical fruits and flowers, bold outlines, non-naturalistic colors, decorative composition
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- DaVinciXL, One mechanical device with gears and levers, no human subjects, one item in the image.
- 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: 10
- Training steps: 2400
- Learning rate: 8e-05
- Effective batch size: 16
- Micro-batch size: 8
- Gradient accumulation steps: 2
- Number of GPUs: 1
- Prediction type: epsilon
- Rescaled betas zero SNR: False
- Optimizer: optimi-stableadamwweight_decay=1e-3
- Precision: Pure BF16
- Quantised: Yes: int8-quanto
- 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
davinci-sdxl-512
- Repeats: 10
- Total number of images: 50
- Total number of aspect buckets: 8
- Resolution: 0.262144 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
davinci-sdxl-1024
- Repeats: 10
- Total number of images: 50
- Total number of aspect buckets: 16
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
davinci-sdxl-512-crop
- Repeats: 10
- Total number of images: 50
- Total number of aspect buckets: 1
- Resolution: 0.262144 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: square
davinci-sdxl-1024-crop
- Repeats: 10
- Total number of images: 50
- 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 = "DaVinciXL, One mechanical device with gears and levers, no human subjects, one item in the image."
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=30,
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")