High-end product photo of TOK sneakers with a white upper, black accents, and a brown sole. The sneakers are placed on a light oak wooden surface with a smooth matte finish. The background is a soft, warm beige gradient wall that adds depth without distraction. Lighting is clean and diffused, highlighting the shoe’s texture and contours, with natural shadows for realism. The overall composition is minimal, polished, and ideal for e-commerce or in-store promotional use

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:

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

Training settings

Training epochs: 62
Training steps: 3000
Learning rate: 8e-05
Max grad norm: 2.0
Effective batch size: 1
- Micro-batch size: 1
- Gradient accumulation steps: 1
- Number of GPUs: 1
Prediction type: flow-matching (flux parameters=['shift=3', 'flux_guidance_value=1.0', 'flux_lora_target=all'])
Rescaled betas zero SNR: False
Optimizer: adamw_bf16
Precision: Pure BF16
Quantised: Yes: int8-quanto
Xformers: Not used
LoRA Rank: 768
LoRA Alpha: None
LoRA Dropout: 0.1
LoRA initialisation style: default

Datasets

subject

Repeats: 5
Total number of images: 8
Total number of aspect buckets: 1
Resolution: 1.0 megapixels
Cropped: False
Crop style: None
Crop aspect: None
Used for regularisation data: No

Inference

python

import torch
from diffusers import DiffusionPipeline

model_id = 'black-forest-labs/FLUX.1-dev'
adapter_id = 'alpaca-labs/sneakers-flux'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)

prompt = "High-end product photo of TOK sneakers with a white upper, black accents, and a brown sole. The sneakers are placed on a light oak wooden surface with a smooth matte finish. The background is a soft, warm beige gradient wall that adds depth without distraction. Lighting is clean and diffused, highlighting the shoe’s texture and contours, with natural shadows for realism. The overall composition is minimal, polished, and ideal for e-commerce or in-store promotional use"

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")