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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.

img_1 img_2 img_3

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.

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