import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("segmind/SSD-1B-fp32", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("segmind/lora-tatttoo-ssd")
prompt = "tssd tattoo"
image = pipe(prompt).images[0]LoRA DreamBooth - Warlord-K/lora-tattoo-sdxl
These are LoRA adaption weights for segmind/SSD-1B-fp32. The weights were trained on tssd tattoo using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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