--- 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](https://huggingface.co/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](#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: ```json { "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 ```python 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") ```