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:
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_0_0.png)
- Prompt
- unconditional (blank prompt)
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_1_0.png)
- Prompt
- jss_style, A woman sits slouched on a sofa beneath a mantelpiece, wrapped in blankets. Her eyes are closed, and her head rests on the back.
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_2_0.png)
- Prompt
- jss_style, A man wearing a lavish robe holds a large, decorated sword. A young boy stands behind him, holding a cushion with a crown. They are in an ornate hall.
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_3_0.png)
- Prompt
- jss_style, Three young girls in white aprons. One stands alone, two stand together by a large vase. A girl sits on the floor holding a doll. Large vases flank the scene.
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_4_0.png)
- Prompt
- jss_style, hamster
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_5_0.png)
- Prompt
- jss_style, hipster making a chair
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_6_0.png)
- Prompt
- jss_style, A elegant woman in a long, black evening gown stands in a grand, dimly lit room. She has a confident pose, with one hand on her hip. A ornate gold frame mirror is visible in the background.
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_7_0.png)
- Prompt
- jss_style, An opulent interior with a grand piano in the foreground. A woman in a white dress sits at the piano, her back to the viewer. Sunlight streams through tall windows.
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_8_0.png)
- Prompt
- jss_style, A portrait of a modern tech CEO in a casual outfit, standing in front of a wall of computer screens
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_9_0.png)
- Prompt
- jss_style, A group portrait of a modern diverse family in a living room. Capture individual personalities while maintaining group cohesion.
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_10_0.png)
- Prompt
- jss_style, A lively scene in a 1920s dance hall. Couples dancing, musicians playing, ambient lighting. Capture the movement and atmosphere in Sargent's distinctive style.
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_11_0.png)
- Prompt
- jss_style, People dining at tables outside a Parisian café.
- Negative Prompt
- blurry, cropped, ugly
![](https://huggingface.co/davidrd123/john-singer-sargent-sdxl-lora-03/resolve/main/./assets/image_12_0.png)
- 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
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")
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Base model
stabilityai/stable-diffusion-xl-base-1.0