README.md

metadata

base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
library_name: diffusers
license: creativeml-openrail-m
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
  - diffusers-training
  - lora
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
  - diffusers-training
  - lora
inference: true
datasets:
  - logo-wizard/modern-logo-dataset

LoRA text2image fine-tuning - SedatAl/test-test

These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were fine-tuned on the logo-wizard/modern-logo-dataset dataset.

How to Use

from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
pipe.load_lora_weights("SedatAl/test-test")

prompt = "a logo of electronic online shop, gradient image of a rectangular shopping bag with a cursor inside, white background, red and magenta gradient foreground, minimalism, modern"
image = pipe(prompt).images[0]

Training details

--train_batch_size=10
--max_train_steps=200
--learning_rate=1e-04 \

Remaining parameters are default.