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/Logo-LoRa-1")
prompt = "a logo of coffee shop wit a cup of coffee under a framed arch, no text, modern, minimalist"
image = pipe(prompt).images[0]LoRA text2image fine-tuning - SedatAl/test-test-1
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/Logo-LoRa-1")
prompt = "a logo of coffee shop wit a cup of coffee under a framed arch, no text, modern, minimalist"
image = pipe(prompt).images[0]
- Downloads last month
- 11
Model tree for SedatAl/Logo-LoRa-1
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5