Ben-Brand-Fast-LoKr

This is a LyCORIS adapter derived from black-forest-labs/FLUX.1-dev.

No validation prompt was used during training.

None

Validation settings

CFG: 3.0
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.

You can find some example images in the following gallery:

Prompt: unconditional (blank prompt)

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, A steaming bowl of ramen with chopsticks resting on the edge, against a background of concentric orange and blue circles. The noodles are detailed in a geometric pattern and the steam creates a rhythmic design.

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, A vintage record player with vinyl spinning, set on a yellow table. The background features an alternating chevron pattern in purple and green. The turntable's mechanical parts are rendered in precise geometric shapes.

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, A sleeping cat curled up in a modernist chair, with a background of interlocking hexagons in red and blue. The cat's fur is stylized into rhythmic curves, matching the geometric environment.

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, A classic motorcycle viewed from the side, against a backdrop of radiating diamond patterns in teal and gold. The chrome parts reflect abstract shapes, and the wheels create circular motifs in the composition.

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, Portrait of a woman with silver hair wearing dotted blue glasses and a white lace collar, against a swirling background of green and yellow patterns. The background features geometric circles and zigzag designs.

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, A storefront sign for 'Golden Palace Noodles' in both English and Chinese characters, mounted on a tall pole against a geometric cityscape with blue and tan buildings. A small arrow points to available parking.

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, Dark purple figs sliced in half on a terra cotta plate, revealing their seeded interiors. The background features a repeating pattern of blue and yellow squares, with wavy lines creating a dynamic lower section.

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, Two young people wearing matching navy shirts and light gray face masks, posed against a warm yellow background. Their curly hair and gentle head tilts create a symmetrical composition.

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, A hamster wearing tiny glasses and a bowtie sitting at a miniature desk with a tiny laptop, against a background of spiral patterns in teal and orange. Office supplies scaled to hamster-size are arranged neatly on the desk.

Negative Prompt: blurry, cropped, ugly

Prompt: In the style of a b3nbr4nd painting, A bearded man in a plaid shirt and denim apron carefully sanding a mid-century modern chair, surrounded by woodworking tools. The background features overlapping triangles in rust and navy blue colors, with sawdust creating delicate patterns in the air.

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: 6
Training steps: 3600
Learning rate: 0.001
Max grad norm: 0.1
Effective batch size: 6
- Micro-batch size: 3
- Gradient accumulation steps: 2
- Number of GPUs: 1
Prediction type: flow-matching (flux parameters=['shift=3', 'flux_guidance_value=1.0'])
Rescaled betas zero SNR: False
Optimizer: adamw_bf16
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

benbrand-512

Repeats: 11
Total number of images: 98
Total number of aspect buckets: 1
Resolution: 0.262144 megapixels
Cropped: False
Crop style: None
Crop aspect: None
Used for regularisation data: No

benbrand-768

Repeats: 11
Total number of images: 98
Total number of aspect buckets: 7
Resolution: 0.589824 megapixels
Cropped: False
Crop style: None
Crop aspect: None
Used for regularisation data: No

benbrand-1024

Repeats: 5
Total number of images: 98
Total number of aspect buckets: 1
Resolution: 1.048576 megapixels
Cropped: False
Crop style: None
Crop aspect: None
Used for regularisation data: No

benbrand-1536

Repeats: 2
Total number of images: 98
Total number of aspect buckets: 2
Resolution: 2.359296 megapixels
Cropped: False
Crop style: None
Crop aspect: None
Used for regularisation data: No

Inference

import torch
from diffusers import DiffusionPipeline
from lycoris import create_lycoris_from_weights

model_id = 'black-forest-labs/FLUX.1-dev'
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 = "An astronaut is riding a horse through the jungles of Thailand."

pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
    prompt=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=3.0,
).images[0]
image.save("output.png", format="PNG")

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Ben-Brand-Fast-LoKr