davidrd123/john-singer-sargent-sdxl-lora-03

john-singer-sargent-sdxl-lora-03

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

The main validation prompt used during training was:

jss_style, A young boy holds a small black dog in his arms. He wears a red bow tie and stands in front of a textured backdrop. His red socks and shoes are notable.

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:

<Gallery />

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

Training settings

• —Training epochs: 9
• —Training steps: 6000
• —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

jss-sdxl-512

• —Repeats: 10
• —Total number of images: 84
• —Total number of aspect buckets: 7
• —Resolution: 0.262144 megapixels
• —Cropped: False
• —Crop style: None
• —Crop aspect: None

jss-sdxl-1024

• —Repeats: 10
• —Total number of images: 84
• —Total number of aspect buckets: 14
• —Resolution: 1.048576 megapixels
• —Cropped: False
• —Crop style: None
• —Crop aspect: None

jss-sdxl-512-crop

• —Repeats: 10
• —Total number of images: 84
• —Total number of aspect buckets: 1
• —Resolution: 0.262144 megapixels
• —Cropped: True
• —Crop style: random
• —Crop aspect: square

jss-sdxl-1024-crop

• —Repeats: 10
• —Total number of images: 84
• —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/john-singer-sargent-sdxl-lora-03'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)

prompt = "jss_style, A young boy holds a small black dog in his arms. He wears a red bow tie and stands in front of a textured backdrop. His red socks and shoes are notable."
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")