--- 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: '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.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_1_0.png - text: '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.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_2_0.png - text: '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.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_3_0.png - text: 'jss_style, hamster' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_4_0.png - text: 'jss_style, hipster making a chair' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_5_0.png - text: '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.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_6_0.png - text: '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.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_7_0.png - text: 'jss_style, A portrait of a modern tech CEO in a casual outfit, standing in front of a wall of computer screens' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_8_0.png - text: 'jss_style, A group portrait of a modern diverse family in a living room. Capture individual personalities while maintaining group cohesion.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_9_0.png - text: '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.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_10_0.png - text: 'jss_style, People dining at tables outside a Parisian café.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_11_0.png - text: '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.' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_12_0.png --- # john-singer-sargent-sdxl-lora-03 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: ``` 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](#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: 9 - Training steps: 5750 - 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: 8 - 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 ```python 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") ```