Simple Icons LoRA for SDXL

A LoRA model trained on Simple Icons dataset for generating minimalist tech logos.

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Model Details

  • Base Model: Stable Diffusion XL 1.0
  • Training Data: 187 Simple Icons logos
  • Training Steps: 120 steps (5 epochs)
  • Resolution: 384x384
  • Rank: 8
  • Learning Rate: 1e-4

Usage

from diffusers import DiffusionPipeline
import torch

# Load base model
pipe = DiffusionPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float16
)
pipe = pipe.to("cuda")

# Load LoRA weights
pipe.load_lora_weights("ReservedNoName/sdxl-simple-icons-lora")

# Generate image
prompt = "minimalist tech logo of React, geometric shape, flat design, single color"
image = pipe(prompt, num_inference_steps=50, guidance_scale=12.0).images[0]
image.save("output.png")

Trigger Words

Use these keywords for best results:

  • minimalist tech logo
  • geometric shape
  • flat design
  • single color

Example Prompts

  • minimalist tech logo of Python, geometric shape, flat design, single color
  • minimalist tech logo of GitHub, geometric shape, flat design, single color
  • minimalist tech logo of Docker, geometric shape, flat design, single color

Limitations

This is an early version (v1) with limited training data. Results may vary. A v2 with improved parameters is in development.

Training Details

Trained using Hugging Face Diffusers library with the following parameters:

  • Mixed Precision: BF16
  • Optimizer: 8-bit Adam
  • Gradient Checkpointing: Enabled
  • Scheduler: Constant
  • Training Time: ~32 minutes (120 steps)
  • Final Loss: 5.11e-5

For complete training configuration and code, see the GitHub repository.

Known Issues

This is v1 with limited training data (187 samples). The model may:

  • Generate overly simple/abstract shapes
  • Have limited style variation
  • Work best with tech-related prompts

A v2 with improved parameters is in development.

Development

Want to improve this model or train your own? Check out:

License

This model is released under the same license as SDXL 1.0.

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