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SedatAl
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skyscraper-LoRa-0

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Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
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How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("SedatAl/skyscraper-LoRa-0")

prompt = "a skyscraper in a city building game, square base, no cars,lowpoly"
image = pipe(prompt).images[0]

LoRA text2image fine-tuning - SedatAl/skyscraper-lora

These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were fine-tuned on the Loulblemo/diffusion_skyscrapers_city_building dataset. img_0 img_1 img_2

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Dataset used to train SedatAl/skyscraper-LoRa-0