This pipeline uses a LoRA model that has been finetuned from the runwayml/stable-diffusion-v1-5 base model on the iamkaikai/amazing_logos dataset with Nvidia A6000.

  • train_batch_size=14
  • gradient_accumulation_steps=30
  • max_train_steps=3000
  • learning_rate=1e-04
  • lr_scheduler="cosine" --lr_warmup_steps=2900

Prompt Format

The prompt format is as follows:

{template keywords} + [company name] + [concept & country] + {template keywords}

For example:

Simple elegant logo for a **[Google]**, **[G circle United states]**, successful vibe, minimalist, thought-provoking, abstract, recognizable

The [concept & country] section can include words such as:

  • lines
  • circles
  • triangles
  • dot
  • crosses
  • waves
  • square
  • letters (A-Z)
  • 3D
  • Angled
  • Arrows
  • cube
  • Diamond
  • Hexagon
  • Loops
  • outline
  • ovals
  • rectangle
  • reflection
  • rings
  • round
  • semicircle
  • spiral
  • woven
  • stars

Here are some examples of prompts:

  • Simple elegant logo for a Digital Art, D A circle, successful vibe, minimalist, thought-provoking, abstract, recognizable
  • Simple elegant logo for a 3M Technology Products, 3 M triangles square United states, successful vibe, minimalist, thought-provoking, abstract, recognizable
  • Simple elegant logo for a 38Energy, lines drop fire flame water, successful vibe, minimalist, thought provoking, abstract, recognizable, relatable, sharp, vector art, even edges

Preview

img_0

Downloads last month
2
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for iamkaikai/amazing-logos-lora

Adapter
(2562)
this model

Dataset used to train iamkaikai/amazing-logos-lora

Space using iamkaikai/amazing-logos-lora 1